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	<id>https://www.ukca.ac.uk/wiki/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Gmann</id>
	<title>UKCA - User contributions [en]</title>
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	<updated>2026-08-04T13:05:50Z</updated>
	<subtitle>User contributions</subtitle>
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	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=GLOMAP_versions&amp;diff=8629</id>
		<title>GLOMAP versions</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=GLOMAP_versions&amp;diff=8629"/>
		<updated>2021-06-29T09:23:41Z</updated>

		<summary type="html">&lt;p&gt;Gmann: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;A 3-month activity in January to March 2019, funded via the JWCRP project ACE (Aerosol and Chemistry Efficiency, PI Dr. Graham Mann, NCAS-Climate, Univ Leeds; co-I Dr. Fiona O&#039;Connor, UK Met Office), involved PDRA Dr. Masaru Yoshioka (Univ. Leeds) consolidating code-changes added by Leeds University researchers in projects during 2015-2018 into &amp;quot;upgrade branches&amp;quot; defining the different versions of the GLOMAP codebase maintained by the core GLOMAP development team at Leeds. &lt;br /&gt;
&lt;br /&gt;
The work successfully consolidated these code-changes into UM branches of the latest version of the UM at that time (UM v11.0), in preparation for lodging these back to the trunk at a subsequent UM v11.x version.&lt;br /&gt;
&lt;br /&gt;
The information on the content of these branches and other details can be found in these two documents -- a brief report for the JWCRP/NCAS-funded activity and a summary poster presented to the UK composition climate modelling meeting in March 2019, with input also from Dr. Adrian Hill at the Met Office :  &lt;br /&gt;
&lt;br /&gt;
* [[Media:GLOMAP_code_consolidation_activities_2.pdf|GLOMAP_code_consolidation_activities_2.pdf]]&lt;br /&gt;
* Poster: [[Media:2019-03_NCAS-CCI_poster_GLOMAP-1.pdf|2019-03_NCAS-CCI_poster_GLOMAP-1.pdf]]&lt;br /&gt;
&lt;br /&gt;
Following discussion at the UKCA Code Management Group meeting, Mark Richardson created the Table below, to provide the main points from these documents -- and re: the reference GLOMAP versions set out in the GLOMAP software license [[Media:GLOMAPmode_PET_forECMWFandCNRSlicense_May2021version.pdf|Media:GLOMAPmode_PET_forECMWFandCNRSlicense_May2021version.pdf]]&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; border = &amp;quot;1px&amp;quot;&lt;br /&gt;
! GLOMAP-mode version !! comment !! reference !!  available in model &lt;br /&gt;
|-&lt;br /&gt;
| 5.0  || origin || gmd  2010 paper ||&lt;br /&gt;
|-&lt;br /&gt;
| 6.0R  || R means recalibrated || x ||&lt;br /&gt;
|-&lt;br /&gt;
| 7newprim || primary emissions || x ||&lt;br /&gt;
|-&lt;br /&gt;
| 7newprim+dust || Dust modal scheme and its ageing || x || vn11.0_dust_ageing&lt;br /&gt;
|-&lt;br /&gt;
| 8.0 || Aerosol in stratosphere and troposphere || x || vn11.0_updateGLOMAPtoDhomse14ACP&lt;br /&gt;
|-&lt;br /&gt;
| 8.0+dust || Dust modal scheme and its ageing || x || x &lt;br /&gt;
|-&lt;br /&gt;
| 8.1 || Cloud ice threshold for scavenging || x || vn11.0_ukca_glomap_bugfix_SECORGorgNPF (and 2 other)&lt;br /&gt;
|-&lt;br /&gt;
| 8.2 || Meteoric Smoke Particles (MSP) interaction || x || vn11.0_GLOMAPmode6matchMSPfromWACCM&lt;br /&gt;
|-&lt;br /&gt;
| 8.3 || Improvement of Evaporation of H2SO4 off MSPs || x || x &lt;br /&gt;
|-&lt;br /&gt;
| 9.0) || Hybrid Dissolution Solver (HyDiS) for Nitrate and Ammonia aerosols || y || x &lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
End of DOC&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=File:GLOMAPmode_PET_forECMWFandCNRSlicense_May2021version.pdf&amp;diff=8628</id>
		<title>File:GLOMAPmode PET forECMWFandCNRSlicense May2021version.pdf</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=File:GLOMAPmode_PET_forECMWFandCNRSlicense_May2021version.pdf&amp;diff=8628"/>
		<updated>2021-06-29T09:21:49Z</updated>

		<summary type="html">&lt;p&gt;Gmann: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=GLOMAP_versions&amp;diff=8627</id>
		<title>GLOMAP versions</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=GLOMAP_versions&amp;diff=8627"/>
		<updated>2021-06-29T09:17:10Z</updated>

		<summary type="html">&lt;p&gt;Gmann: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;A 3-month activity in January to March 2019, funded via the JWCRP project ACE (Aerosol and Chemistry Efficiency, PI Dr. Graham Mann, NCAS-Climate, Univ Leeds; co-I Dr. Fiona O&#039;Connor, UK Met Office), involved PDRA Dr. Masaru Yoshioka (Univ. Leeds) consolidating code-changes added by Leeds University researchers in projects during 2015-2018 into &amp;quot;upgrade branches&amp;quot; defining the different versions of the GLOMAP codebase maintained by the core GLOMAP development team at Leeds. &lt;br /&gt;
&lt;br /&gt;
The work successfully consolidated these code-changes into UM branches of the latest version of the UM at that time (UM v11.0), in preparation for lodging these back to the trunk at a subsequent UM v11.x version.&lt;br /&gt;
&lt;br /&gt;
The information on the content of these branches and other details can be found in these two documents -- a brief report for the JWCRP/NCAS-funded activity and a summary poster presented to the UK composition climate modelling meeting in March 2019, with input also from Dr. Adrian Hill at the Met Office :  &lt;br /&gt;
&lt;br /&gt;
* [[Media:GLOMAP_code_consolidation_activities_2.pdf|GLOMAP_code_consolidation_activities_2.pdf]]&lt;br /&gt;
* Poster: [[Media:2019-03_NCAS-CCI_poster_GLOMAP-1.pdf|2019-03_NCAS-CCI_poster_GLOMAP-1.pdf]]&lt;br /&gt;
&lt;br /&gt;
Following discussion at the UKCA Code Management Group meeting, Mark Richardson created the Table below, to provide the main points from these documents -- and re: the reference GLOMAP versions set out in the Software License to ECMWF &lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; border = &amp;quot;1px&amp;quot;&lt;br /&gt;
! GLOMAP-mode version !! comment !! reference !!  available in model &lt;br /&gt;
|-&lt;br /&gt;
| 5.0  || origin || gmd  2010 paper ||&lt;br /&gt;
|-&lt;br /&gt;
| 6.0R  || R means recalibrated || x ||&lt;br /&gt;
|-&lt;br /&gt;
| 7newprim || primary emissions || x ||&lt;br /&gt;
|-&lt;br /&gt;
| 7newprim+dust || Dust modal scheme and its ageing || x || vn11.0_dust_ageing&lt;br /&gt;
|-&lt;br /&gt;
| 8.0 || Aerosol in stratosphere and troposphere || x || vn11.0_updateGLOMAPtoDhomse14ACP&lt;br /&gt;
|-&lt;br /&gt;
| 8.0+dust || Dust modal scheme and its ageing || x || x &lt;br /&gt;
|-&lt;br /&gt;
| 8.1 || Cloud ice threshold for scavenging || x || vn11.0_ukca_glomap_bugfix_SECORGorgNPF (and 2 other)&lt;br /&gt;
|-&lt;br /&gt;
| 8.2 || Meteoric Smoke Particles (MSP) interaction || x || vn11.0_GLOMAPmode6matchMSPfromWACCM&lt;br /&gt;
|-&lt;br /&gt;
| 8.3 || Improvement of Evaporation of H2SO4 off MSPs || x || x &lt;br /&gt;
|-&lt;br /&gt;
| 9.0) || Hybrid Dissolution Solver (HyDiS) for Nitrate and Ammonia aerosols || y || x &lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
End of DOC&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=GLOMAP_versions&amp;diff=8626</id>
		<title>GLOMAP versions</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=GLOMAP_versions&amp;diff=8626"/>
		<updated>2021-06-29T09:16:42Z</updated>

		<summary type="html">&lt;p&gt;Gmann: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;A 3-month activity in January to March 2019, funded via the JWCRP project ACE (Aerosol and Chemistry Efficiency, PI Dr. Graham Mann, NCAS-Climate, co-I Dr. Fiona O&#039;Connor, UK Met Office), involved PDRA Dr. Masaru Yoshioka consolidating code-changes added by Leeds University researchers in projects during 2015-2018 into &amp;quot;upgrade branches&amp;quot; defining the different versions of the GLOMAP codebase maintained by the core GLOMAP development team at Leeds. &lt;br /&gt;
&lt;br /&gt;
The work successfully consolidated these code-changes into UM branches of the latest version of the UM at that time (UM v11.0), in preparation for lodging these back to the trunk at a subsequent UM v11.x version.&lt;br /&gt;
&lt;br /&gt;
The information on the content of these branches and other details can be found in these two documents -- a brief report for the JWCRP/NCAS-funded activity and a summary poster presented to the UK composition climate modelling meeting in March 2019, with input also from Dr. Adrian Hill at the Met Office :  &lt;br /&gt;
&lt;br /&gt;
* [[Media:GLOMAP_code_consolidation_activities_2.pdf|GLOMAP_code_consolidation_activities_2.pdf]]&lt;br /&gt;
* Poster: [[Media:2019-03_NCAS-CCI_poster_GLOMAP-1.pdf|2019-03_NCAS-CCI_poster_GLOMAP-1.pdf]]&lt;br /&gt;
&lt;br /&gt;
Following discussion at the UKCA Code Management Group meeting, Mark Richardson created the Table below, to provide the main points from these documents -- and re: the reference GLOMAP versions set out in the Software License to ECMWF &lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; border = &amp;quot;1px&amp;quot;&lt;br /&gt;
! GLOMAP-mode version !! comment !! reference !!  available in model &lt;br /&gt;
|-&lt;br /&gt;
| 5.0  || origin || gmd  2010 paper ||&lt;br /&gt;
|-&lt;br /&gt;
| 6.0R  || R means recalibrated || x ||&lt;br /&gt;
|-&lt;br /&gt;
| 7newprim || primary emissions || x ||&lt;br /&gt;
|-&lt;br /&gt;
| 7newprim+dust || Dust modal scheme and its ageing || x || vn11.0_dust_ageing&lt;br /&gt;
|-&lt;br /&gt;
| 8.0 || Aerosol in stratosphere and troposphere || x || vn11.0_updateGLOMAPtoDhomse14ACP&lt;br /&gt;
|-&lt;br /&gt;
| 8.0+dust || Dust modal scheme and its ageing || x || x &lt;br /&gt;
|-&lt;br /&gt;
| 8.1 || Cloud ice threshold for scavenging || x || vn11.0_ukca_glomap_bugfix_SECORGorgNPF (and 2 other)&lt;br /&gt;
|-&lt;br /&gt;
| 8.2 || Meteoric Smoke Particles (MSP) interaction || x || vn11.0_GLOMAPmode6matchMSPfromWACCM&lt;br /&gt;
|-&lt;br /&gt;
| 8.3 || Improvement of Evaporation of H2SO4 off MSPs || x || x &lt;br /&gt;
|-&lt;br /&gt;
| 9.0) || Hybrid Dissolution Solver (HyDiS) for Nitrate and Ammonia aerosols || y || x &lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
End of DOC&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=GLOMAP_versions&amp;diff=8625</id>
		<title>GLOMAP versions</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=GLOMAP_versions&amp;diff=8625"/>
		<updated>2021-06-28T10:50:54Z</updated>

		<summary type="html">&lt;p&gt;Gmann: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;A 3-month activity in January to March 2019, funded via the JWCRP-funded ACE project (Aerosol and Chemistry Efficiency, PI Dr. Graham Mann, NCAS-Climate), involved PDRA Dr. Masaru Yoshioka consolidating code-changes added by Leeds University researchers in projects during 2015-2018 into &amp;quot;upgrade branches&amp;quot; defining the different versions of the GLOMAP codebase maintained by the core GLOMAP development team at Leeds. &lt;br /&gt;
&lt;br /&gt;
The work successfully consolidated these code-changes into UM branches of the latest version of the UM at that time (UM v11.0), in preparation for lodging these back to the trunk at a subsequent UM v11.x version.&lt;br /&gt;
&lt;br /&gt;
The information on the content of these branches and other details can be found in these two documents -- a brief report for the JWCRP/NCAS-funded activity and a summary poster presented to the UK composition climate modelling meeting in March 2019, with input also from Dr. Adrian Hill at the Met Office :  &lt;br /&gt;
&lt;br /&gt;
* [[Media:GLOMAP_code_consolidation_activities_2.pdf|GLOMAP_code_consolidation_activities_2.pdf]]&lt;br /&gt;
* Poster: [[Media:2019-03_NCAS-CCI_poster_GLOMAP-1.pdf|2019-03_NCAS-CCI_poster_GLOMAP-1.pdf]]&lt;br /&gt;
&lt;br /&gt;
Following discussion at the UKCA Code Management Group meeting, Mark Richardson created the Table below, to provide the main points from these documents -- and re: the reference GLOMAP versions set out in the Software License to ECMWF &lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; border = &amp;quot;1px&amp;quot;&lt;br /&gt;
! GLOMAP-mode version !! comment !! reference !!  available in model &lt;br /&gt;
|-&lt;br /&gt;
| 5.0  || origin || gmd  2010 paper ||&lt;br /&gt;
|-&lt;br /&gt;
| 6.0R  || R means recalibrated || x ||&lt;br /&gt;
|-&lt;br /&gt;
| 7newprim || primary emissions || x ||&lt;br /&gt;
|-&lt;br /&gt;
| 7newprim+dust || Dust modal scheme and its ageing || x || vn11.0_dust_ageing&lt;br /&gt;
|-&lt;br /&gt;
| 8.0 || Aerosol in stratosphere and troposphere || x || vn11.0_updateGLOMAPtoDhomse14ACP&lt;br /&gt;
|-&lt;br /&gt;
| 8.0+dust || Dust modal scheme and its ageing || x || x &lt;br /&gt;
|-&lt;br /&gt;
| 8.1 || Cloud ice threshold for scavenging || x || vn11.0_ukca_glomap_bugfix_SECORGorgNPF (and 2 other)&lt;br /&gt;
|-&lt;br /&gt;
| 8.2 || Meteoric Smoke Particles (MSP) interaction || x || vn11.0_GLOMAPmode6matchMSPfromWACCM&lt;br /&gt;
|-&lt;br /&gt;
| 8.3 || Improvement of Evaporation of H2SO4 off MSPs || x || x &lt;br /&gt;
|-&lt;br /&gt;
| 9.0) || Hybrid Dissolution Solver (HyDiS) for Nitrate and Ammonia aerosols || y || x &lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
End of DOC&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=GLOMAP_versions&amp;diff=8624</id>
		<title>GLOMAP versions</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=GLOMAP_versions&amp;diff=8624"/>
		<updated>2021-06-28T09:00:40Z</updated>

		<summary type="html">&lt;p&gt;Gmann: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
Mark Richardson created following table based on a poster from Graham and Masaru, they had provided on 1 April 2019, but recently revisited in conversation with Adrian Hill.&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; border = &amp;quot;1px&amp;quot;&lt;br /&gt;
! GLOMAP-mode version !! comment !! reference !!  available in model &lt;br /&gt;
|-&lt;br /&gt;
| 5.0  || origin || gmd  2010 paper ||&lt;br /&gt;
|-&lt;br /&gt;
| 6.0R  || R means recalibrated || x ||&lt;br /&gt;
|-&lt;br /&gt;
| 7newprim || primary emissions || x ||&lt;br /&gt;
|-&lt;br /&gt;
| 7newprim+dust || Dust modal scheme and its ageing || x || vn11.0_dust_ageing&lt;br /&gt;
|-&lt;br /&gt;
| 8.0 || Aerosol in stratosphere and troposphere || x || vn11.0_updateGLOMAPtoDhomse14ACP&lt;br /&gt;
|-&lt;br /&gt;
| 8.0+dust || Dust modal scheme and its ageing || x || x &lt;br /&gt;
|-&lt;br /&gt;
| 8.1 || Cloud ice threshold for scavenging || x || vn11.0_ukca_glomap_bugfix_SECORGorgNPF (and 2 other)&lt;br /&gt;
|-&lt;br /&gt;
| 8.2 || Meteoric Smoke Particles (MSP) interaction || x || vn11.0_GLOMAPmode6matchMSPfromWACCM&lt;br /&gt;
|-&lt;br /&gt;
| 8.3 || Improvement of Evaporation of H2SO4 off MSPs || x || x &lt;br /&gt;
|-&lt;br /&gt;
| 9.0) || Hybrid Dissolution Solver (HyDiS) for Nitrate and Ammonia aerosols || y || x &lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The JWCRP-funded ACE project (Aerosol and Chemistry Efficiency&amp;quot; project, PI Dr. Graham Mann, NCAS-Climate) included a 3-month PDRA activity (Jan19 to Mar19) which saw PDRA Dr. Masaru Yoshioka consolidate the different version of the GLOMAP codebase into the latest version of the UM --- at that time version UM v11.0&lt;br /&gt;
* Poster: [[Media:2019-03_NCAS-CCI_poster_GLOMAP-1.pdf|2019-03_NCAS-CCI_poster_GLOMAP-1.pdf]]&lt;br /&gt;
* [[Media:GLOMAP_code_consolidation_activities_2.pdf|GLOMAP_code_consolidation_activities_2.pdf]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
End of DOC&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=GLOMAP_versions&amp;diff=8623</id>
		<title>GLOMAP versions</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=GLOMAP_versions&amp;diff=8623"/>
		<updated>2021-06-28T08:59:59Z</updated>

		<summary type="html">&lt;p&gt;Gmann: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
Mark Richardson created following table based on a poster from Graham and Masaru, they had provided on 1 April 2019, but recently revisited in conversation with Adrian Hill.&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; border = &amp;quot;1px&amp;quot;&lt;br /&gt;
! GLOMAP-mode version !! comment !! reference !!  available in model &lt;br /&gt;
|-&lt;br /&gt;
| 5.0  || origin || gmd  2010 paper ||&lt;br /&gt;
|-&lt;br /&gt;
| 6.0R  || R means recalibrated || x ||&lt;br /&gt;
|-&lt;br /&gt;
| 7newprim || primary emissions || x ||&lt;br /&gt;
|-&lt;br /&gt;
| 7newprim+dust || Dust modal scheme and its ageing || x || vn11.0_dust_ageing&lt;br /&gt;
|-&lt;br /&gt;
| 8.0 || Aerosol in stratosphere and troposphere || x || vn11.0_updateGLOMAPtoDhomse14ACP&lt;br /&gt;
|-&lt;br /&gt;
| 8.0+dust || Dust modal scheme and its ageing || x || x &lt;br /&gt;
|-&lt;br /&gt;
| 8.1 || Cloud ice threshold for scavenging || x || vn11.0_ukca_glomap_bugfix_SECORGorgNPF (and 2 other)&lt;br /&gt;
|-&lt;br /&gt;
| 8.2 || Meteoric Smoke Particles (MSP) interaction || x || vn11.0_GLOMAPmode6matchMSPfromWACCM&lt;br /&gt;
|-&lt;br /&gt;
| 8.3 || Improvement of Evaporation of H2SO4 off MSPs || x || x &lt;br /&gt;
|-&lt;br /&gt;
| 9.0) || Hybrid Dissolution Solver (HyDiS) for Nitrate and Ammonia aerosols || y || x &lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The JWCRP-funded ACE project (Aerosol and Chemistry Efficiency&amp;quot; project, PI Dr. Graham Mann, NCAS-Climate) provided 3-months funding (Jan19 to Mar19 which saw PDRA Dr. Masaru Yoshioka consolidate the different version of the GLOMAP codebase into the latest version of the UM --- at that time version UM v11.0&lt;br /&gt;
* Poster: [[Media:2019-03_NCAS-CCI_poster_GLOMAP-1.pdf|2019-03_NCAS-CCI_poster_GLOMAP-1.pdf]]&lt;br /&gt;
* [[Media:GLOMAP_code_consolidation_activities_2.pdf|GLOMAP_code_consolidation_activities_2.pdf]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
End of DOC&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8538</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8538"/>
		<updated>2021-03-25T15:29:03Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2019 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/4187/2021/, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero, J.-C., G.W. Mann, P. Keckhut, S. Avdyushin, B. Nardi and L.W. Thomason (2020): Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, vol. 12, 2843-2851, https://doi.org/10.5194/essd-12-2843-2020.&lt;br /&gt;
* Antuña-Marrero, J.-C., G.W. Mann, J. Barnes, A. Rodriguez-Vega, S. Shallcross, S. Dhomse, G. Giocco and G.W. Grams (2020): Recovery of the first ever multi-year lidar dataset of the stratospheric aerosol layer, from Lexington, MA, and Fairbanks, AK, January 1964 to July 1965, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-246.&lt;br /&gt;
* Archibald, A.T., F.M. O&#039;Connor, N.L. Abraham, S. Archer-Nicholls, M.P. Chipperfield, M. Dalvi, G.A. Folberth et al. (2020): Description and evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., vol. 13, 1223-1266, https://doi.org/10.5194/gmd-13-1223-2020.&lt;br /&gt;
* Archibald, A.T., S.T. Turnock, P.T. Griffiths, T. Cox, R.G. Derwent, C. Knote and M. Shin (2020): On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc. A, vol. 378, https://doi.org/10.1098/rsta.2019.0329.&lt;br /&gt;
* Dhomse, S.S., G.W. Mann, J.-C. Antuna-Marrero, S.E. Shallcross, M.P. Chipperfield, K.S. Carslaw, L. Marshall, N.L. Abraham, and C.E. Johnson (2020): Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys.,  vol. 20, 13627-13654, https://doi.org/10.5194/acp-20-13627-2020.&lt;br /&gt;
* Griffiths, P. T., J. Keeble, Y.M. Shin, N.L. Abraham, A.T. Archibald, and J.A. Pyle (2020): On the changing role of the stratosphere on the tropospheric ozone budget: 1979–2010. Geophys. Res. Lett., 46, https://doi.org/10.1029/2019GL086901.&lt;br /&gt;
* Grosvenor, D.P. and K.S. Carslaw (2020): The decomposition of cloud–aerosol forcing in the UK Earth System Model (UKESM1), Atmos. Chem. Phys., vol. 20, 15681-15724, https://doi.org/10.5194/acp-20-15681-2020.&lt;br /&gt;
* Heimann, I., P.T. Griffiths, N.J. Warwick, N.L. Abraham, A.T. Archibald and J.A. Pyle: Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://doi.org/10.1029/2019MS002019.&lt;br /&gt;
* Keeble, J., N.L. Abraham, A.T. Archibald, M.P. Chipperfield, S.S. Dhomse, P.T. Griffiths and J.A. Pyle (2020): Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., vol. 20, 7153-7166, https://doi.org/10.5194/acp-20-7153-2020.&lt;br /&gt;
* Morgenstern, O., F.M. O&#039;Connor, B.T. Johnson, G. Feng, J.P. Mulcahy, J. Williams, J. Teixeira, M. Michou, P. Nabat  et al. (2020): Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Lett.,  47, https://doi.org/10.1029/2020GL088295.&lt;br /&gt;
* Mulcahy, J.M., C. Johnson, C.G. Jones, A.C. Povey, C.E. Scott, A. Sellar, S.T. Turnock, M.T. Woodhouse, N.L. Abraham et al. (2020): Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., vol. 13, 6383-6423, https://doi.org/10.5194/gmd-13-6383-2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall, L., J.S. Johnson, G.W. Mann, L.A. Lee, S.S. Dhomse, L.A. Regayre, M. Yoshioka, K.S Carslaw and A. Schmidt (2019): Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., vol. 124, https://doi.org/10.1029/2018JD028675.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Sellar, A., C. G. Jones, J. P. Mulcahy, Tang, Y., Yool, A., Wiltshire, A., O&#039;Connor, F. M., Stringer, M. et al. (2019): &amp;quot;UKESM1: Description and evaluation of the U.K. Earth System Model&amp;quot;, J. Adv. Modeling Earth Sys., vol. 11, issue 12, 4513-4558, https://doi.org/10.1029/2019MS001739&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Turnock et al., The impact of climate mitigation measures on near term climate forcers, Environ. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/ab4222, 2019.&lt;br /&gt;
* Turnock et al., 300 years of tropospheric ozone changes using CMIP6 scenarios with a parameterised approach, Atmos. Environ., https://www.sciencedirect.com/science/article/pii/S1352231019304443?via%3Dihub, 2019.      &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, https://doi.org/10.5194/acp-18-1091-2018.&lt;br /&gt;
* Mulcahy, J.P., C. Jones, A. Sellar, B. Johnson, I. A. Boutle, A. Jones, T. Andrews, S. T. Rumbold, J. Mollard, N. Bellouin, C. E. Johnson et al. (2018): Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1, J. Adv. Mod. Earth Systems, 10, 2786-2805, https://doi.org/10.1029/2018MS001464.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, https://doi.org/10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck, C., Mann, G.W., Aquila, V., Hommel, R., Lee, L.A., Schmidt, A., Bruehl, C., Carl, S. et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev., vol. 11, 2581-2608, https://doi.org/10.5194/gmd-11-2581-2018, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T. et al. (2015): What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II, Atmos. Chem. Phys., 16, 2765-2783, http://doi.org/10.5194/acp-16-2221-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
* Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S. et al. (2016): On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, https://doi.org/10.5194/acp-16-2765-2016.&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, http://doi.org/10.1002/2014JD023009.&lt;br /&gt;
* Dhomse, S. S., M. P. Chipperfield, W. Feng, R. Hossaini, G. W. Mann and M. L. Santee (2015): Revisiting the hemispheric asymmetry in mid-latitude ozone changes following the Mount Pinatubo eruption: A 3-D model study, Geophys. Res. Lett., vol. 42(8), 3038-3047, https://doi.org/10.1002/2015GL063052.&lt;br /&gt;
* Giordano, L., D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel et al. (2015): Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2, Atmos. Env., vol. 115, 371-388, https://doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. (2015): Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi.org/10.5194/acp-15-7557-2015.&lt;br /&gt;
* Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners et al. (2015): Processes controlling tropical tropopause temperature and stratospheric water vapour, J. Climate, 28, 6516-6535, https://doi.org/10.1175/JCLI-D-15-0075.1&lt;br /&gt;
* Mann, G. W., Dhomse, S., Deshler T., Timmreck, C, Schmidt A, Neely, R and Thomason, L. (2015): Evolving particle size is the key to improved volcanic forcings, Past Global Change, 23(2), 52-53, https://doi.org/10.22498/pages.23.2.52&lt;br /&gt;
* Planche C., J. H. Marsham, P. R. Field, K. S. Carslaw, A. A. Hill, G. W. Mann and B. J. Shipway (2015): Precipitation sensitivity to autoconversion rate in a numerical weather-prediction model, Q. J. Roy. Meteorol. Soc., vol. 141(691), 2032-2044,  https://doi.org/10.1002/qj.2497.&lt;br /&gt;
* Pope, R. J., M. P. Chipperfield, N. H. Savage, C. Ordóñez, L. S. Neal, L. A. Lee, S. S. Dhomse, N. A. D. Richards and T. D. Keslake (2015): Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions, Atmos. Chem. Phys., 15, 5611-5626, https://doi.org/10.5194/acp-15-5611-2015.&lt;br /&gt;
* Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. (2015): The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2, Atmos. Chem. Phys., 15, 11201-11215, https://doi.org/10.5194/acp-15-11201-2015.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, L. A. Lee, A. Rap, J. Browse, G. W. Mann, C. L. Reddington, K. S. Carslaw, B. B. B. Booth and M. T. Woodhouse (2015): The climatic importance of uncertainties in regional aerosol-cloud radiative forcings over recent decades,  J. Climate, vol. 28(17), 6589-6607, http://doi.org/10.1175/JCLI-D-15-0127.1&lt;br /&gt;
* Scott, C. E., D. V. Spracklen, J. R. Pierce, I. Riipinen, S. D. D&#039;Andrea, A. Rap, K. S. Carslaw, P. M. Forster et al. (2015): Impact of gas-to-particle partitioning approaches on the simulated radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 15, 12989-13001, https://doi.org/10.5194/acp-15-12989-2015.&lt;br /&gt;
* Turnock, S. T., D. V. Spracklen. K. S. Carslaw, G. W. Mann, M. T. Woodhouse, P. M. Forster, J. Haywood, C. E. Johnson et al. (2015): Modelled and observed changes in aerosols and surface solar radiation over Europe between 1960 and 2009, Atmos. Chem. Phys., 15, 9477-9500, https://doi.org/doi:10.5194/acp-15-9477-2015. &lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* Breider, T. J., M. P. Chipperfield, G. W. Mann, M. T. Woodhouse and K. S. Carslaw (2014): Suppression of CCN formation by bromine chemistry in the remote marine atmosphere, Atmos. Sci. Lett., 16(2), 141-147, https://doi.org/10.1002/asl2.539&lt;br /&gt;
* Browse, J., K. S. Carslaw, G. W. Mann, C. E. Birch, S. R. Arnold, C. Leck. (2014): The complex response of Arctic aerosol to sea-ice retreat, Atmos. Chem. Phys., 14, 7543-7557, https://doi.org/10.5194/acp-14-7543-2014.&lt;br /&gt;
* Brunner, D., N. Savage, O. Jorba, B. Eder, L. Giordano, A. Badia, A. Balzarini, R. Baró, R. Bianconi, C. Chemel et al. (2014): Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2, Atmos. Env., vol. 115, 470-498, https://doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
* Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki et al. (2014): Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future, J. Geophys. Res. Atmos., 119, 5, 2555-2573, https://doi.org/10.1002/2013JD021097.&lt;br /&gt;
* Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, et al. (2014), Aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model, Atmos. Chem. Phys., 14, 11221-11246, https://doi.org/10.5194/acp-14-11221-2014.&lt;br /&gt;
* Hayman, G. D., F. M. O&#039;Connor, M. Dalvi, D. B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising and J. P. Burrows (2014): Comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns, Atmos. Chem. Phys., 14, 13257-13280, 2014, https://doi.org/10.5194/acp-14-13257-2014. &lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone, Atmos. Env., vol. 115, 404-420, https://doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter, Atmos. Env., vol. 115, pp. 421-441, https://doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* Jiao, C., M. G. Flanner, Y. Balkanski, S. E. Bauer, N. Bellouin, T. K. Berntsen, H. Bian, K. S. Carslaw, M. Chin et al. (2014): An AeroCom assessment of black carbon in Arctic snow and sea ice, Atmos. Chem. Phys., vol. 14(5), 2399-2417, https://doi.org/10.5194/acp-14-2399-2014.&lt;br /&gt;
* Mann, G. W., K. S. Carslaw, C. L. Reddington, K. J. Pringle, M. Schulz, A. Asmi, D. V. Spracklen, D. A. Ridley, M. T. Woodhouse, L. A. Lee et al. (2014): Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity, Atmos. Chem. Phys. vol. 14(9), 4679-4713, https://doi.org/10.5194/acp-14-4679-2014.&lt;br /&gt;
* Morgenstern, O., G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey (2014): Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases, Geophys. Res. Lett., 41, 9050–9057, https://doi.org/10.1002/2014GL062140.&lt;br /&gt;
* Neal, L. S. P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Application of a statistical post-processing technique to a gridded, operational, air quality forecast, Atmos. Env., vol. 98, 385-393, https://doi.org/10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* O&#039;Connor, F. M., C. E. Johnson, O. Morgenstern, N. L. Abraham, P. Braesicke, M. Dalvi, G. A. Folberth, M. G. Sanderson et al. (2014), Evaluation of the new UKCA climate-composition model. Part II. The troposphere. Geosci. Model Dev., 7, 41-91, 2014, https://doi.org/10.5194/gmd-7-41-2014.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, B. B. B. Booth, L. A. Lee, G. W. Mann, J. Browse, M. T. Woodhouse, A. Rap, C. L. Reddington, K. S. Carslaw (2014): Uncertainty in the magnitude of aerosol‐cloud radiative forcing over recent decades, Geophys. Res. Lett.  41(24), 9040-9049,  https://doi.org/10.1002/2014GL062029.&lt;br /&gt;
* Scott, C. E., A. Rap, D. V. Spracklen, P. M. Forster, K. S. Carslaw, G. W. Mann, K. J. Pringle, N. Kivekäs, M. Kulmala, H. Lihavainen and P. Tunved (2014): The direct and indirect radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 14(1), 447-470, https://doi.org/10.5194/acp-14-447-2014.&lt;br /&gt;
* Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A., Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone, Atmos. Chem. Phys., 14, 1011-1024, http://doi.org/10.5194/acp-14-1011-2014.&lt;br /&gt;
* Stock, Z. S., Russo, M. R., and Pyle, J. A. (2014): Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model, Atmos. Chem. Phys., 14, 3899-3912, https://doi.org/10.5194/acp-14-3899-2014.&lt;br /&gt;
* Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A. et al. (2014): Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection, Atmos. Chem. Phys., 14, 6035-6048, https://doi.org/10.5194/acp-14-6035-2014.&lt;br /&gt;
* Tsigaridis K., N. Daskalakis, M. Kanakidou, P. J. Adams, P. Artaxo, R. Bahadur, Y. Balkanski, S. E. Bauer, N. Bellouin et al. (2014): The AeroCom evaluation and intercomparison of organic aerosol in global models, Atmos. Chem. Phys. vol. 14(19), 10845-10895, https://doi.org/10.5194/acp-14-10845-2014.&lt;br /&gt;
* West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z. (2014): The importance of vertical velocity variability for estimates of the indirect aerosol effects, Atmos. Chem. Phys., 14, 6369-6393, https:/doi.org/10.5194/acp-14-6369-2014.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
&lt;br /&gt;
== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
&lt;br /&gt;
*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
&lt;br /&gt;
==2011==&lt;br /&gt;
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* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
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==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
&lt;br /&gt;
==2009==&lt;br /&gt;
&lt;br /&gt;
* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8537</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8537"/>
		<updated>2021-03-25T15:25:50Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2020 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/4187/2021/, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero, J.-C., G.W. Mann, P. Keckhut, S. Avdyushin, B. Nardi and L.W. Thomason (2020): Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, vol. 12, 2843-2851, https://doi.org/10.5194/essd-12-2843-2020.&lt;br /&gt;
* Antuña-Marrero, J.-C., G.W. Mann, J. Barnes, A. Rodriguez-Vega, S. Shallcross, S. Dhomse, G. Giocco and G.W. Grams (2020): Recovery of the first ever multi-year lidar dataset of the stratospheric aerosol layer, from Lexington, MA, and Fairbanks, AK, January 1964 to July 1965, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-246.&lt;br /&gt;
* Archibald, A.T., F.M. O&#039;Connor, N.L. Abraham, S. Archer-Nicholls, M.P. Chipperfield, M. Dalvi, G.A. Folberth et al. (2020): Description and evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., vol. 13, 1223-1266, https://doi.org/10.5194/gmd-13-1223-2020.&lt;br /&gt;
* Archibald, A.T., S.T. Turnock, P.T. Griffiths, T. Cox, R.G. Derwent, C. Knote and M. Shin (2020): On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc. A, vol. 378, https://doi.org/10.1098/rsta.2019.0329.&lt;br /&gt;
* Dhomse, S.S., G.W. Mann, J.-C. Antuna-Marrero, S.E. Shallcross, M.P. Chipperfield, K.S. Carslaw, L. Marshall, N.L. Abraham, and C.E. Johnson (2020): Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys.,  vol. 20, 13627-13654, https://doi.org/10.5194/acp-20-13627-2020.&lt;br /&gt;
* Griffiths, P. T., J. Keeble, Y.M. Shin, N.L. Abraham, A.T. Archibald, and J.A. Pyle (2020): On the changing role of the stratosphere on the tropospheric ozone budget: 1979–2010. Geophys. Res. Lett., 46, https://doi.org/10.1029/2019GL086901.&lt;br /&gt;
* Grosvenor, D.P. and K.S. Carslaw (2020): The decomposition of cloud–aerosol forcing in the UK Earth System Model (UKESM1), Atmos. Chem. Phys., vol. 20, 15681-15724, https://doi.org/10.5194/acp-20-15681-2020.&lt;br /&gt;
* Heimann, I., P.T. Griffiths, N.J. Warwick, N.L. Abraham, A.T. Archibald and J.A. Pyle: Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://doi.org/10.1029/2019MS002019.&lt;br /&gt;
* Keeble, J., N.L. Abraham, A.T. Archibald, M.P. Chipperfield, S.S. Dhomse, P.T. Griffiths and J.A. Pyle (2020): Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., vol. 20, 7153-7166, https://doi.org/10.5194/acp-20-7153-2020.&lt;br /&gt;
* Morgenstern, O., F.M. O&#039;Connor, B.T. Johnson, G. Feng, J.P. Mulcahy, J. Williams, J. Teixeira, M. Michou, P. Nabat  et al. (2020): Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Lett.,  47, https://doi.org/10.1029/2020GL088295.&lt;br /&gt;
* Mulcahy, J.M., C. Johnson, C.G. Jones, A.C. Povey, C.E. Scott, A. Sellar, S.T. Turnock, M.T. Woodhouse, N.L. Abraham et al. (2020): Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., vol. 13, 6383-6423, https://doi.org/10.5194/gmd-13-6383-2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Sellar, A., C. G. Jones, J. P. Mulcahy, Tang, Y., Yool, A., Wiltshire, A., O&#039;Connor, F. M., Stringer, M. et al. (2019): &amp;quot;UKESM1: Description and evaluation of the U.K. Earth System Model&amp;quot;, J. Adv. Modeling Earth Sys., vol. 11, issue 12, 4513-4558, https://doi.org/10.1029/2019MS001739&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Turnock et al., The impact of climate mitigation measures on near term climate forcers, Environ. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/ab4222, 2019.&lt;br /&gt;
* Turnock et al., 300 years of tropospheric ozone changes using CMIP6 scenarios with a parameterised approach, Atmos. Environ., https://www.sciencedirect.com/science/article/pii/S1352231019304443?via%3Dihub, 2019.      &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, https://doi.org/10.5194/acp-18-1091-2018.&lt;br /&gt;
* Mulcahy, J.P., C. Jones, A. Sellar, B. Johnson, I. A. Boutle, A. Jones, T. Andrews, S. T. Rumbold, J. Mollard, N. Bellouin, C. E. Johnson et al. (2018): Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1, J. Adv. Mod. Earth Systems, 10, 2786-2805, https://doi.org/10.1029/2018MS001464.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, https://doi.org/10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck, C., Mann, G.W., Aquila, V., Hommel, R., Lee, L.A., Schmidt, A., Bruehl, C., Carl, S. et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev., vol. 11, 2581-2608, https://doi.org/10.5194/gmd-11-2581-2018, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T. et al. (2015): What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II, Atmos. Chem. Phys., 16, 2765-2783, http://doi.org/10.5194/acp-16-2221-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
* Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S. et al. (2016): On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, https://doi.org/10.5194/acp-16-2765-2016.&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, http://doi.org/10.1002/2014JD023009.&lt;br /&gt;
* Dhomse, S. S., M. P. Chipperfield, W. Feng, R. Hossaini, G. W. Mann and M. L. Santee (2015): Revisiting the hemispheric asymmetry in mid-latitude ozone changes following the Mount Pinatubo eruption: A 3-D model study, Geophys. Res. Lett., vol. 42(8), 3038-3047, https://doi.org/10.1002/2015GL063052.&lt;br /&gt;
* Giordano, L., D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel et al. (2015): Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2, Atmos. Env., vol. 115, 371-388, https://doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. (2015): Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi.org/10.5194/acp-15-7557-2015.&lt;br /&gt;
* Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners et al. (2015): Processes controlling tropical tropopause temperature and stratospheric water vapour, J. Climate, 28, 6516-6535, https://doi.org/10.1175/JCLI-D-15-0075.1&lt;br /&gt;
* Mann, G. W., Dhomse, S., Deshler T., Timmreck, C, Schmidt A, Neely, R and Thomason, L. (2015): Evolving particle size is the key to improved volcanic forcings, Past Global Change, 23(2), 52-53, https://doi.org/10.22498/pages.23.2.52&lt;br /&gt;
* Planche C., J. H. Marsham, P. R. Field, K. S. Carslaw, A. A. Hill, G. W. Mann and B. J. Shipway (2015): Precipitation sensitivity to autoconversion rate in a numerical weather-prediction model, Q. J. Roy. Meteorol. Soc., vol. 141(691), 2032-2044,  https://doi.org/10.1002/qj.2497.&lt;br /&gt;
* Pope, R. J., M. P. Chipperfield, N. H. Savage, C. Ordóñez, L. S. Neal, L. A. Lee, S. S. Dhomse, N. A. D. Richards and T. D. Keslake (2015): Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions, Atmos. Chem. Phys., 15, 5611-5626, https://doi.org/10.5194/acp-15-5611-2015.&lt;br /&gt;
* Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. (2015): The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2, Atmos. Chem. Phys., 15, 11201-11215, https://doi.org/10.5194/acp-15-11201-2015.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, L. A. Lee, A. Rap, J. Browse, G. W. Mann, C. L. Reddington, K. S. Carslaw, B. B. B. Booth and M. T. Woodhouse (2015): The climatic importance of uncertainties in regional aerosol-cloud radiative forcings over recent decades,  J. Climate, vol. 28(17), 6589-6607, http://doi.org/10.1175/JCLI-D-15-0127.1&lt;br /&gt;
* Scott, C. E., D. V. Spracklen, J. R. Pierce, I. Riipinen, S. D. D&#039;Andrea, A. Rap, K. S. Carslaw, P. M. Forster et al. (2015): Impact of gas-to-particle partitioning approaches on the simulated radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 15, 12989-13001, https://doi.org/10.5194/acp-15-12989-2015.&lt;br /&gt;
* Turnock, S. T., D. V. Spracklen. K. S. Carslaw, G. W. Mann, M. T. Woodhouse, P. M. Forster, J. Haywood, C. E. Johnson et al. (2015): Modelled and observed changes in aerosols and surface solar radiation over Europe between 1960 and 2009, Atmos. Chem. Phys., 15, 9477-9500, https://doi.org/doi:10.5194/acp-15-9477-2015. &lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* Breider, T. J., M. P. Chipperfield, G. W. Mann, M. T. Woodhouse and K. S. Carslaw (2014): Suppression of CCN formation by bromine chemistry in the remote marine atmosphere, Atmos. Sci. Lett., 16(2), 141-147, https://doi.org/10.1002/asl2.539&lt;br /&gt;
* Browse, J., K. S. Carslaw, G. W. Mann, C. E. Birch, S. R. Arnold, C. Leck. (2014): The complex response of Arctic aerosol to sea-ice retreat, Atmos. Chem. Phys., 14, 7543-7557, https://doi.org/10.5194/acp-14-7543-2014.&lt;br /&gt;
* Brunner, D., N. Savage, O. Jorba, B. Eder, L. Giordano, A. Badia, A. Balzarini, R. Baró, R. Bianconi, C. Chemel et al. (2014): Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2, Atmos. Env., vol. 115, 470-498, https://doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
* Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki et al. (2014): Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future, J. Geophys. Res. Atmos., 119, 5, 2555-2573, https://doi.org/10.1002/2013JD021097.&lt;br /&gt;
* Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, et al. (2014), Aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model, Atmos. Chem. Phys., 14, 11221-11246, https://doi.org/10.5194/acp-14-11221-2014.&lt;br /&gt;
* Hayman, G. D., F. M. O&#039;Connor, M. Dalvi, D. B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising and J. P. Burrows (2014): Comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns, Atmos. Chem. Phys., 14, 13257-13280, 2014, https://doi.org/10.5194/acp-14-13257-2014. &lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone, Atmos. Env., vol. 115, 404-420, https://doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter, Atmos. Env., vol. 115, pp. 421-441, https://doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* Jiao, C., M. G. Flanner, Y. Balkanski, S. E. Bauer, N. Bellouin, T. K. Berntsen, H. Bian, K. S. Carslaw, M. Chin et al. (2014): An AeroCom assessment of black carbon in Arctic snow and sea ice, Atmos. Chem. Phys., vol. 14(5), 2399-2417, https://doi.org/10.5194/acp-14-2399-2014.&lt;br /&gt;
* Mann, G. W., K. S. Carslaw, C. L. Reddington, K. J. Pringle, M. Schulz, A. Asmi, D. V. Spracklen, D. A. Ridley, M. T. Woodhouse, L. A. Lee et al. (2014): Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity, Atmos. Chem. Phys. vol. 14(9), 4679-4713, https://doi.org/10.5194/acp-14-4679-2014.&lt;br /&gt;
* Morgenstern, O., G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey (2014): Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases, Geophys. Res. Lett., 41, 9050–9057, https://doi.org/10.1002/2014GL062140.&lt;br /&gt;
* Neal, L. S. P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Application of a statistical post-processing technique to a gridded, operational, air quality forecast, Atmos. Env., vol. 98, 385-393, https://doi.org/10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* O&#039;Connor, F. M., C. E. Johnson, O. Morgenstern, N. L. Abraham, P. Braesicke, M. Dalvi, G. A. Folberth, M. G. Sanderson et al. (2014), Evaluation of the new UKCA climate-composition model. Part II. The troposphere. Geosci. Model Dev., 7, 41-91, 2014, https://doi.org/10.5194/gmd-7-41-2014.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, B. B. B. Booth, L. A. Lee, G. W. Mann, J. Browse, M. T. Woodhouse, A. Rap, C. L. Reddington, K. S. Carslaw (2014): Uncertainty in the magnitude of aerosol‐cloud radiative forcing over recent decades, Geophys. Res. Lett.  41(24), 9040-9049,  https://doi.org/10.1002/2014GL062029.&lt;br /&gt;
* Scott, C. E., A. Rap, D. V. Spracklen, P. M. Forster, K. S. Carslaw, G. W. Mann, K. J. Pringle, N. Kivekäs, M. Kulmala, H. Lihavainen and P. Tunved (2014): The direct and indirect radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 14(1), 447-470, https://doi.org/10.5194/acp-14-447-2014.&lt;br /&gt;
* Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A., Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone, Atmos. Chem. Phys., 14, 1011-1024, http://doi.org/10.5194/acp-14-1011-2014.&lt;br /&gt;
* Stock, Z. S., Russo, M. R., and Pyle, J. A. (2014): Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model, Atmos. Chem. Phys., 14, 3899-3912, https://doi.org/10.5194/acp-14-3899-2014.&lt;br /&gt;
* Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A. et al. (2014): Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection, Atmos. Chem. Phys., 14, 6035-6048, https://doi.org/10.5194/acp-14-6035-2014.&lt;br /&gt;
* Tsigaridis K., N. Daskalakis, M. Kanakidou, P. J. Adams, P. Artaxo, R. Bahadur, Y. Balkanski, S. E. Bauer, N. Bellouin et al. (2014): The AeroCom evaluation and intercomparison of organic aerosol in global models, Atmos. Chem. Phys. vol. 14(19), 10845-10895, https://doi.org/10.5194/acp-14-10845-2014.&lt;br /&gt;
* West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z. (2014): The importance of vertical velocity variability for estimates of the indirect aerosol effects, Atmos. Chem. Phys., 14, 6369-6393, https:/doi.org/10.5194/acp-14-6369-2014.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
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== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
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*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
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==2011==&lt;br /&gt;
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* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
&lt;br /&gt;
==2009==&lt;br /&gt;
&lt;br /&gt;
* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8536</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8536"/>
		<updated>2021-03-25T15:12:39Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2020 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/4187/2021/, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero, J.-C., G.W. Mann, P. Keckhut, S. Avdyushin, B. Nardi and L.W. Thomason (2020): Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, vol. 12, 2843-2851, https://doi.org/10.5194/essd-12-2843-2020.&lt;br /&gt;
* Antuña-Marrero, J.-C., G.W. Mann, J. Barnes, A. Rodriguez-Vega, S. Shallcross, S. Dhomse, G. Giocco and G.W. Grams (2020): Recovery of the first ever multi-year lidar dataset of the stratospheric aerosol layer, from Lexington, MA, and Fairbanks, AK, January 1964 to July 1965, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-246.&lt;br /&gt;
* Archibald, A.T., F.M. O&#039;Connor, N.L. Abraham, S. Archer-Nicholls, M.P. Chipperfield, M. Dalvi, G.A. Folberth et al. (2020): Description and evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., vol. 13, 1223-1266, https://doi.org/10.5194/gmd-13-1223-2020.&lt;br /&gt;
* Archibald, A.T., S.T. Turnock, P.T. Griffiths, T. Cox, R.G. Derwent, C. Knote and M. Shin (2020): On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc. A, vol. 378, https://doi.org/10.1098/rsta.2019.0329.&lt;br /&gt;
* Dhomse, S.S., G.W. Mann, J.-C. Antuna-Marrero, S.E. Shallcross, M.P. Chipperfield, K.S. Carslaw, L. Marshall, N.L. Abraham, and C.E. Johnson (2020): Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys.,  vol. 20, 13627-13654, https://doi.org/10.5194/acp-20-13627-2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
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* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Sellar, A., C. G. Jones, J. P. Mulcahy, Tang, Y., Yool, A., Wiltshire, A., O&#039;Connor, F. M., Stringer, M. et al. (2019): &amp;quot;UKESM1: Description and evaluation of the U.K. Earth System Model&amp;quot;, J. Adv. Modeling Earth Sys., vol. 11, issue 12, 4513-4558, https://doi.org/10.1029/2019MS001739&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Turnock et al., The impact of climate mitigation measures on near term climate forcers, Environ. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/ab4222, 2019.&lt;br /&gt;
* Turnock et al., 300 years of tropospheric ozone changes using CMIP6 scenarios with a parameterised approach, Atmos. Environ., https://www.sciencedirect.com/science/article/pii/S1352231019304443?via%3Dihub, 2019.      &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, https://doi.org/10.5194/acp-18-1091-2018.&lt;br /&gt;
* Mulcahy, J.P., C. Jones, A. Sellar, B. Johnson, I. A. Boutle, A. Jones, T. Andrews, S. T. Rumbold, J. Mollard, N. Bellouin, C. E. Johnson et al. (2018): Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1, J. Adv. Mod. Earth Systems, 10, 2786-2805, https://doi.org/10.1029/2018MS001464.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, https://doi.org/10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck, C., Mann, G.W., Aquila, V., Hommel, R., Lee, L.A., Schmidt, A., Bruehl, C., Carl, S. et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev., vol. 11, 2581-2608, https://doi.org/10.5194/gmd-11-2581-2018, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T. et al. (2015): What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II, Atmos. Chem. Phys., 16, 2765-2783, http://doi.org/10.5194/acp-16-2221-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
* Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S. et al. (2016): On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, https://doi.org/10.5194/acp-16-2765-2016.&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, http://doi.org/10.1002/2014JD023009.&lt;br /&gt;
* Dhomse, S. S., M. P. Chipperfield, W. Feng, R. Hossaini, G. W. Mann and M. L. Santee (2015): Revisiting the hemispheric asymmetry in mid-latitude ozone changes following the Mount Pinatubo eruption: A 3-D model study, Geophys. Res. Lett., vol. 42(8), 3038-3047, https://doi.org/10.1002/2015GL063052.&lt;br /&gt;
* Giordano, L., D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel et al. (2015): Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2, Atmos. Env., vol. 115, 371-388, https://doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. (2015): Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi.org/10.5194/acp-15-7557-2015.&lt;br /&gt;
* Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners et al. (2015): Processes controlling tropical tropopause temperature and stratospheric water vapour, J. Climate, 28, 6516-6535, https://doi.org/10.1175/JCLI-D-15-0075.1&lt;br /&gt;
* Mann, G. W., Dhomse, S., Deshler T., Timmreck, C, Schmidt A, Neely, R and Thomason, L. (2015): Evolving particle size is the key to improved volcanic forcings, Past Global Change, 23(2), 52-53, https://doi.org/10.22498/pages.23.2.52&lt;br /&gt;
* Planche C., J. H. Marsham, P. R. Field, K. S. Carslaw, A. A. Hill, G. W. Mann and B. J. Shipway (2015): Precipitation sensitivity to autoconversion rate in a numerical weather-prediction model, Q. J. Roy. Meteorol. Soc., vol. 141(691), 2032-2044,  https://doi.org/10.1002/qj.2497.&lt;br /&gt;
* Pope, R. J., M. P. Chipperfield, N. H. Savage, C. Ordóñez, L. S. Neal, L. A. Lee, S. S. Dhomse, N. A. D. Richards and T. D. Keslake (2015): Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions, Atmos. Chem. Phys., 15, 5611-5626, https://doi.org/10.5194/acp-15-5611-2015.&lt;br /&gt;
* Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. (2015): The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2, Atmos. Chem. Phys., 15, 11201-11215, https://doi.org/10.5194/acp-15-11201-2015.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, L. A. Lee, A. Rap, J. Browse, G. W. Mann, C. L. Reddington, K. S. Carslaw, B. B. B. Booth and M. T. Woodhouse (2015): The climatic importance of uncertainties in regional aerosol-cloud radiative forcings over recent decades,  J. Climate, vol. 28(17), 6589-6607, http://doi.org/10.1175/JCLI-D-15-0127.1&lt;br /&gt;
* Scott, C. E., D. V. Spracklen, J. R. Pierce, I. Riipinen, S. D. D&#039;Andrea, A. Rap, K. S. Carslaw, P. M. Forster et al. (2015): Impact of gas-to-particle partitioning approaches on the simulated radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 15, 12989-13001, https://doi.org/10.5194/acp-15-12989-2015.&lt;br /&gt;
* Turnock, S. T., D. V. Spracklen. K. S. Carslaw, G. W. Mann, M. T. Woodhouse, P. M. Forster, J. Haywood, C. E. Johnson et al. (2015): Modelled and observed changes in aerosols and surface solar radiation over Europe between 1960 and 2009, Atmos. Chem. Phys., 15, 9477-9500, https://doi.org/doi:10.5194/acp-15-9477-2015. &lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* Breider, T. J., M. P. Chipperfield, G. W. Mann, M. T. Woodhouse and K. S. Carslaw (2014): Suppression of CCN formation by bromine chemistry in the remote marine atmosphere, Atmos. Sci. Lett., 16(2), 141-147, https://doi.org/10.1002/asl2.539&lt;br /&gt;
* Browse, J., K. S. Carslaw, G. W. Mann, C. E. Birch, S. R. Arnold, C. Leck. (2014): The complex response of Arctic aerosol to sea-ice retreat, Atmos. Chem. Phys., 14, 7543-7557, https://doi.org/10.5194/acp-14-7543-2014.&lt;br /&gt;
* Brunner, D., N. Savage, O. Jorba, B. Eder, L. Giordano, A. Badia, A. Balzarini, R. Baró, R. Bianconi, C. Chemel et al. (2014): Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2, Atmos. Env., vol. 115, 470-498, https://doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
* Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki et al. (2014): Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future, J. Geophys. Res. Atmos., 119, 5, 2555-2573, https://doi.org/10.1002/2013JD021097.&lt;br /&gt;
* Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, et al. (2014), Aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model, Atmos. Chem. Phys., 14, 11221-11246, https://doi.org/10.5194/acp-14-11221-2014.&lt;br /&gt;
* Hayman, G. D., F. M. O&#039;Connor, M. Dalvi, D. B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising and J. P. Burrows (2014): Comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns, Atmos. Chem. Phys., 14, 13257-13280, 2014, https://doi.org/10.5194/acp-14-13257-2014. &lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone, Atmos. Env., vol. 115, 404-420, https://doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter, Atmos. Env., vol. 115, pp. 421-441, https://doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* Jiao, C., M. G. Flanner, Y. Balkanski, S. E. Bauer, N. Bellouin, T. K. Berntsen, H. Bian, K. S. Carslaw, M. Chin et al. (2014): An AeroCom assessment of black carbon in Arctic snow and sea ice, Atmos. Chem. Phys., vol. 14(5), 2399-2417, https://doi.org/10.5194/acp-14-2399-2014.&lt;br /&gt;
* Mann, G. W., K. S. Carslaw, C. L. Reddington, K. J. Pringle, M. Schulz, A. Asmi, D. V. Spracklen, D. A. Ridley, M. T. Woodhouse, L. A. Lee et al. (2014): Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity, Atmos. Chem. Phys. vol. 14(9), 4679-4713, https://doi.org/10.5194/acp-14-4679-2014.&lt;br /&gt;
* Morgenstern, O., G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey (2014): Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases, Geophys. Res. Lett., 41, 9050–9057, https://doi.org/10.1002/2014GL062140.&lt;br /&gt;
* Neal, L. S. P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Application of a statistical post-processing technique to a gridded, operational, air quality forecast, Atmos. Env., vol. 98, 385-393, https://doi.org/10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* O&#039;Connor, F. M., C. E. Johnson, O. Morgenstern, N. L. Abraham, P. Braesicke, M. Dalvi, G. A. Folberth, M. G. Sanderson et al. (2014), Evaluation of the new UKCA climate-composition model. Part II. The troposphere. Geosci. Model Dev., 7, 41-91, 2014, https://doi.org/10.5194/gmd-7-41-2014.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, B. B. B. Booth, L. A. Lee, G. W. Mann, J. Browse, M. T. Woodhouse, A. Rap, C. L. Reddington, K. S. Carslaw (2014): Uncertainty in the magnitude of aerosol‐cloud radiative forcing over recent decades, Geophys. Res. Lett.  41(24), 9040-9049,  https://doi.org/10.1002/2014GL062029.&lt;br /&gt;
* Scott, C. E., A. Rap, D. V. Spracklen, P. M. Forster, K. S. Carslaw, G. W. Mann, K. J. Pringle, N. Kivekäs, M. Kulmala, H. Lihavainen and P. Tunved (2014): The direct and indirect radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 14(1), 447-470, https://doi.org/10.5194/acp-14-447-2014.&lt;br /&gt;
* Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A., Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone, Atmos. Chem. Phys., 14, 1011-1024, http://doi.org/10.5194/acp-14-1011-2014.&lt;br /&gt;
* Stock, Z. S., Russo, M. R., and Pyle, J. A. (2014): Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model, Atmos. Chem. Phys., 14, 3899-3912, https://doi.org/10.5194/acp-14-3899-2014.&lt;br /&gt;
* Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A. et al. (2014): Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection, Atmos. Chem. Phys., 14, 6035-6048, https://doi.org/10.5194/acp-14-6035-2014.&lt;br /&gt;
* Tsigaridis K., N. Daskalakis, M. Kanakidou, P. J. Adams, P. Artaxo, R. Bahadur, Y. Balkanski, S. E. Bauer, N. Bellouin et al. (2014): The AeroCom evaluation and intercomparison of organic aerosol in global models, Atmos. Chem. Phys. vol. 14(19), 10845-10895, https://doi.org/10.5194/acp-14-10845-2014.&lt;br /&gt;
* West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z. (2014): The importance of vertical velocity variability for estimates of the indirect aerosol effects, Atmos. Chem. Phys., 14, 6369-6393, https:/doi.org/10.5194/acp-14-6369-2014.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
&lt;br /&gt;
== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
&lt;br /&gt;
*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
&lt;br /&gt;
==2011==&lt;br /&gt;
&lt;br /&gt;
* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
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==2009==&lt;br /&gt;
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* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
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==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8535</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8535"/>
		<updated>2021-03-25T14:56:42Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2018 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/4187/2021/, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Recovery of the first ever multi-year lidar dataset of the stratospheric aerosol layer, from Lexington, MA, and Fairbanks, AK, January 1964 to July 1965, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-246, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Sellar, A., C. G. Jones, J. P. Mulcahy, Tang, Y., Yool, A., Wiltshire, A., O&#039;Connor, F. M., Stringer, M. et al. (2019): &amp;quot;UKESM1: Description and evaluation of the U.K. Earth System Model&amp;quot;, J. Adv. Modeling Earth Sys., vol. 11, issue 12, 4513-4558, https://doi.org/10.1029/2019MS001739&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Turnock et al., The impact of climate mitigation measures on near term climate forcers, Environ. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/ab4222, 2019.&lt;br /&gt;
* Turnock et al., 300 years of tropospheric ozone changes using CMIP6 scenarios with a parameterised approach, Atmos. Environ., https://www.sciencedirect.com/science/article/pii/S1352231019304443?via%3Dihub, 2019.      &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, https://doi.org/10.5194/acp-18-1091-2018.&lt;br /&gt;
* Mulcahy, J.P., C. Jones, A. Sellar, B. Johnson, I. A. Boutle, A. Jones, T. Andrews, S. T. Rumbold, J. Mollard, N. Bellouin, C. E. Johnson et al. (2018): Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1, J. Adv. Mod. Earth Systems, 10, 2786-2805, https://doi.org/10.1029/2018MS001464.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, https://doi.org/10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck, C., Mann, G.W., Aquila, V., Hommel, R., Lee, L.A., Schmidt, A., Bruehl, C., Carl, S. et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev., vol. 11, 2581-2608, https://doi.org/10.5194/gmd-11-2581-2018, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T. et al. (2015): What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II, Atmos. Chem. Phys., 16, 2765-2783, http://doi.org/10.5194/acp-16-2221-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
* Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S. et al. (2016): On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, https://doi.org/10.5194/acp-16-2765-2016.&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, http://doi.org/10.1002/2014JD023009.&lt;br /&gt;
* Dhomse, S. S., M. P. Chipperfield, W. Feng, R. Hossaini, G. W. Mann and M. L. Santee (2015): Revisiting the hemispheric asymmetry in mid-latitude ozone changes following the Mount Pinatubo eruption: A 3-D model study, Geophys. Res. Lett., vol. 42(8), 3038-3047, https://doi.org/10.1002/2015GL063052.&lt;br /&gt;
* Giordano, L., D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel et al. (2015): Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2, Atmos. Env., vol. 115, 371-388, https://doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. (2015): Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi.org/10.5194/acp-15-7557-2015.&lt;br /&gt;
* Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners et al. (2015): Processes controlling tropical tropopause temperature and stratospheric water vapour, J. Climate, 28, 6516-6535, https://doi.org/10.1175/JCLI-D-15-0075.1&lt;br /&gt;
* Mann, G. W., Dhomse, S., Deshler T., Timmreck, C, Schmidt A, Neely, R and Thomason, L. (2015): Evolving particle size is the key to improved volcanic forcings, Past Global Change, 23(2), 52-53, https://doi.org/10.22498/pages.23.2.52&lt;br /&gt;
* Planche C., J. H. Marsham, P. R. Field, K. S. Carslaw, A. A. Hill, G. W. Mann and B. J. Shipway (2015): Precipitation sensitivity to autoconversion rate in a numerical weather-prediction model, Q. J. Roy. Meteorol. Soc., vol. 141(691), 2032-2044,  https://doi.org/10.1002/qj.2497.&lt;br /&gt;
* Pope, R. J., M. P. Chipperfield, N. H. Savage, C. Ordóñez, L. S. Neal, L. A. Lee, S. S. Dhomse, N. A. D. Richards and T. D. Keslake (2015): Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions, Atmos. Chem. Phys., 15, 5611-5626, https://doi.org/10.5194/acp-15-5611-2015.&lt;br /&gt;
* Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. (2015): The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2, Atmos. Chem. Phys., 15, 11201-11215, https://doi.org/10.5194/acp-15-11201-2015.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, L. A. Lee, A. Rap, J. Browse, G. W. Mann, C. L. Reddington, K. S. Carslaw, B. B. B. Booth and M. T. Woodhouse (2015): The climatic importance of uncertainties in regional aerosol-cloud radiative forcings over recent decades,  J. Climate, vol. 28(17), 6589-6607, http://doi.org/10.1175/JCLI-D-15-0127.1&lt;br /&gt;
* Scott, C. E., D. V. Spracklen, J. R. Pierce, I. Riipinen, S. D. D&#039;Andrea, A. Rap, K. S. Carslaw, P. M. Forster et al. (2015): Impact of gas-to-particle partitioning approaches on the simulated radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 15, 12989-13001, https://doi.org/10.5194/acp-15-12989-2015.&lt;br /&gt;
* Turnock, S. T., D. V. Spracklen. K. S. Carslaw, G. W. Mann, M. T. Woodhouse, P. M. Forster, J. Haywood, C. E. Johnson et al. (2015): Modelled and observed changes in aerosols and surface solar radiation over Europe between 1960 and 2009, Atmos. Chem. Phys., 15, 9477-9500, https://doi.org/doi:10.5194/acp-15-9477-2015. &lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* Breider, T. J., M. P. Chipperfield, G. W. Mann, M. T. Woodhouse and K. S. Carslaw (2014): Suppression of CCN formation by bromine chemistry in the remote marine atmosphere, Atmos. Sci. Lett., 16(2), 141-147, https://doi.org/10.1002/asl2.539&lt;br /&gt;
* Browse, J., K. S. Carslaw, G. W. Mann, C. E. Birch, S. R. Arnold, C. Leck. (2014): The complex response of Arctic aerosol to sea-ice retreat, Atmos. Chem. Phys., 14, 7543-7557, https://doi.org/10.5194/acp-14-7543-2014.&lt;br /&gt;
* Brunner, D., N. Savage, O. Jorba, B. Eder, L. Giordano, A. Badia, A. Balzarini, R. Baró, R. Bianconi, C. Chemel et al. (2014): Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2, Atmos. Env., vol. 115, 470-498, https://doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
* Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki et al. (2014): Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future, J. Geophys. Res. Atmos., 119, 5, 2555-2573, https://doi.org/10.1002/2013JD021097.&lt;br /&gt;
* Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, et al. (2014), Aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model, Atmos. Chem. Phys., 14, 11221-11246, https://doi.org/10.5194/acp-14-11221-2014.&lt;br /&gt;
* Hayman, G. D., F. M. O&#039;Connor, M. Dalvi, D. B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising and J. P. Burrows (2014): Comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns, Atmos. Chem. Phys., 14, 13257-13280, 2014, https://doi.org/10.5194/acp-14-13257-2014. &lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone, Atmos. Env., vol. 115, 404-420, https://doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter, Atmos. Env., vol. 115, pp. 421-441, https://doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* Jiao, C., M. G. Flanner, Y. Balkanski, S. E. Bauer, N. Bellouin, T. K. Berntsen, H. Bian, K. S. Carslaw, M. Chin et al. (2014): An AeroCom assessment of black carbon in Arctic snow and sea ice, Atmos. Chem. Phys., vol. 14(5), 2399-2417, https://doi.org/10.5194/acp-14-2399-2014.&lt;br /&gt;
* Mann, G. W., K. S. Carslaw, C. L. Reddington, K. J. Pringle, M. Schulz, A. Asmi, D. V. Spracklen, D. A. Ridley, M. T. Woodhouse, L. A. Lee et al. (2014): Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity, Atmos. Chem. Phys. vol. 14(9), 4679-4713, https://doi.org/10.5194/acp-14-4679-2014.&lt;br /&gt;
* Morgenstern, O., G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey (2014): Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases, Geophys. Res. Lett., 41, 9050–9057, https://doi.org/10.1002/2014GL062140.&lt;br /&gt;
* Neal, L. S. P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Application of a statistical post-processing technique to a gridded, operational, air quality forecast, Atmos. Env., vol. 98, 385-393, https://doi.org/10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* O&#039;Connor, F. M., C. E. Johnson, O. Morgenstern, N. L. Abraham, P. Braesicke, M. Dalvi, G. A. Folberth, M. G. Sanderson et al. (2014), Evaluation of the new UKCA climate-composition model. Part II. The troposphere. Geosci. Model Dev., 7, 41-91, 2014, https://doi.org/10.5194/gmd-7-41-2014.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, B. B. B. Booth, L. A. Lee, G. W. Mann, J. Browse, M. T. Woodhouse, A. Rap, C. L. Reddington, K. S. Carslaw (2014): Uncertainty in the magnitude of aerosol‐cloud radiative forcing over recent decades, Geophys. Res. Lett.  41(24), 9040-9049,  https://doi.org/10.1002/2014GL062029.&lt;br /&gt;
* Scott, C. E., A. Rap, D. V. Spracklen, P. M. Forster, K. S. Carslaw, G. W. Mann, K. J. Pringle, N. Kivekäs, M. Kulmala, H. Lihavainen and P. Tunved (2014): The direct and indirect radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 14(1), 447-470, https://doi.org/10.5194/acp-14-447-2014.&lt;br /&gt;
* Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A., Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone, Atmos. Chem. Phys., 14, 1011-1024, http://doi.org/10.5194/acp-14-1011-2014.&lt;br /&gt;
* Stock, Z. S., Russo, M. R., and Pyle, J. A. (2014): Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model, Atmos. Chem. Phys., 14, 3899-3912, https://doi.org/10.5194/acp-14-3899-2014.&lt;br /&gt;
* Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A. et al. (2014): Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection, Atmos. Chem. Phys., 14, 6035-6048, https://doi.org/10.5194/acp-14-6035-2014.&lt;br /&gt;
* Tsigaridis K., N. Daskalakis, M. Kanakidou, P. J. Adams, P. Artaxo, R. Bahadur, Y. Balkanski, S. E. Bauer, N. Bellouin et al. (2014): The AeroCom evaluation and intercomparison of organic aerosol in global models, Atmos. Chem. Phys. vol. 14(19), 10845-10895, https://doi.org/10.5194/acp-14-10845-2014.&lt;br /&gt;
* West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z. (2014): The importance of vertical velocity variability for estimates of the indirect aerosol effects, Atmos. Chem. Phys., 14, 6369-6393, https:/doi.org/10.5194/acp-14-6369-2014.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
&lt;br /&gt;
== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
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* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
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* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
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*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
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* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
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==2011==&lt;br /&gt;
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* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
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==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
&lt;br /&gt;
==2009==&lt;br /&gt;
&lt;br /&gt;
* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8534</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8534"/>
		<updated>2021-03-25T14:53:44Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2018 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/4187/2021/, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Recovery of the first ever multi-year lidar dataset of the stratospheric aerosol layer, from Lexington, MA, and Fairbanks, AK, January 1964 to July 1965, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-246, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Sellar, A., C. G. Jones, J. P. Mulcahy, Tang, Y., Yool, A., Wiltshire, A., O&#039;Connor, F. M., Stringer, M. et al. (2019): &amp;quot;UKESM1: Description and evaluation of the U.K. Earth System Model&amp;quot;, J. Adv. Modeling Earth Sys., vol. 11, issue 12, 4513-4558, https://doi.org/10.1029/2019MS001739&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Turnock et al., The impact of climate mitigation measures on near term climate forcers, Environ. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/ab4222, 2019.&lt;br /&gt;
* Turnock et al., 300 years of tropospheric ozone changes using CMIP6 scenarios with a parameterised approach, Atmos. Environ., https://www.sciencedirect.com/science/article/pii/S1352231019304443?via%3Dihub, 2019.      &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Mulcahy, J.P., C. Jones, A. Sellar, B. Johnson, I. A. Boutle, A. Jones, T. Andrews, S. T. Rumbold, J. Mollard, N. Bellouin, C. E. Johnson et al. (2018): Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1, J. Adv. Mod. Earth Systems, 10, 2786-2805.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T. et al. (2015): What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II, Atmos. Chem. Phys., 16, 2765-2783, http://doi.org/10.5194/acp-16-2221-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
* Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S. et al. (2016): On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, https://doi.org/10.5194/acp-16-2765-2016.&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, http://doi.org/10.1002/2014JD023009.&lt;br /&gt;
* Dhomse, S. S., M. P. Chipperfield, W. Feng, R. Hossaini, G. W. Mann and M. L. Santee (2015): Revisiting the hemispheric asymmetry in mid-latitude ozone changes following the Mount Pinatubo eruption: A 3-D model study, Geophys. Res. Lett., vol. 42(8), 3038-3047, https://doi.org/10.1002/2015GL063052.&lt;br /&gt;
* Giordano, L., D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel et al. (2015): Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2, Atmos. Env., vol. 115, 371-388, https://doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. (2015): Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi.org/10.5194/acp-15-7557-2015.&lt;br /&gt;
* Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners et al. (2015): Processes controlling tropical tropopause temperature and stratospheric water vapour, J. Climate, 28, 6516-6535, https://doi.org/10.1175/JCLI-D-15-0075.1&lt;br /&gt;
* Mann, G. W., Dhomse, S., Deshler T., Timmreck, C, Schmidt A, Neely, R and Thomason, L. (2015): Evolving particle size is the key to improved volcanic forcings, Past Global Change, 23(2), 52-53, https://doi.org/10.22498/pages.23.2.52&lt;br /&gt;
* Planche C., J. H. Marsham, P. R. Field, K. S. Carslaw, A. A. Hill, G. W. Mann and B. J. Shipway (2015): Precipitation sensitivity to autoconversion rate in a numerical weather-prediction model, Q. J. Roy. Meteorol. Soc., vol. 141(691), 2032-2044,  https://doi.org/10.1002/qj.2497.&lt;br /&gt;
* Pope, R. J., M. P. Chipperfield, N. H. Savage, C. Ordóñez, L. S. Neal, L. A. Lee, S. S. Dhomse, N. A. D. Richards and T. D. Keslake (2015): Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions, Atmos. Chem. Phys., 15, 5611-5626, https://doi.org/10.5194/acp-15-5611-2015.&lt;br /&gt;
* Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. (2015): The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2, Atmos. Chem. Phys., 15, 11201-11215, https://doi.org/10.5194/acp-15-11201-2015.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, L. A. Lee, A. Rap, J. Browse, G. W. Mann, C. L. Reddington, K. S. Carslaw, B. B. B. Booth and M. T. Woodhouse (2015): The climatic importance of uncertainties in regional aerosol-cloud radiative forcings over recent decades,  J. Climate, vol. 28(17), 6589-6607, http://doi.org/10.1175/JCLI-D-15-0127.1&lt;br /&gt;
* Scott, C. E., D. V. Spracklen, J. R. Pierce, I. Riipinen, S. D. D&#039;Andrea, A. Rap, K. S. Carslaw, P. M. Forster et al. (2015): Impact of gas-to-particle partitioning approaches on the simulated radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 15, 12989-13001, https://doi.org/10.5194/acp-15-12989-2015.&lt;br /&gt;
* Turnock, S. T., D. V. Spracklen. K. S. Carslaw, G. W. Mann, M. T. Woodhouse, P. M. Forster, J. Haywood, C. E. Johnson et al. (2015): Modelled and observed changes in aerosols and surface solar radiation over Europe between 1960 and 2009, Atmos. Chem. Phys., 15, 9477-9500, https://doi.org/doi:10.5194/acp-15-9477-2015. &lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* Breider, T. J., M. P. Chipperfield, G. W. Mann, M. T. Woodhouse and K. S. Carslaw (2014): Suppression of CCN formation by bromine chemistry in the remote marine atmosphere, Atmos. Sci. Lett., 16(2), 141-147, https://doi.org/10.1002/asl2.539&lt;br /&gt;
* Browse, J., K. S. Carslaw, G. W. Mann, C. E. Birch, S. R. Arnold, C. Leck. (2014): The complex response of Arctic aerosol to sea-ice retreat, Atmos. Chem. Phys., 14, 7543-7557, https://doi.org/10.5194/acp-14-7543-2014.&lt;br /&gt;
* Brunner, D., N. Savage, O. Jorba, B. Eder, L. Giordano, A. Badia, A. Balzarini, R. Baró, R. Bianconi, C. Chemel et al. (2014): Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2, Atmos. Env., vol. 115, 470-498, https://doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
* Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki et al. (2014): Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future, J. Geophys. Res. Atmos., 119, 5, 2555-2573, https://doi.org/10.1002/2013JD021097.&lt;br /&gt;
* Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, et al. (2014), Aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model, Atmos. Chem. Phys., 14, 11221-11246, https://doi.org/10.5194/acp-14-11221-2014.&lt;br /&gt;
* Hayman, G. D., F. M. O&#039;Connor, M. Dalvi, D. B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising and J. P. Burrows (2014): Comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns, Atmos. Chem. Phys., 14, 13257-13280, 2014, https://doi.org/10.5194/acp-14-13257-2014. &lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone, Atmos. Env., vol. 115, 404-420, https://doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter, Atmos. Env., vol. 115, pp. 421-441, https://doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* Jiao, C., M. G. Flanner, Y. Balkanski, S. E. Bauer, N. Bellouin, T. K. Berntsen, H. Bian, K. S. Carslaw, M. Chin et al. (2014): An AeroCom assessment of black carbon in Arctic snow and sea ice, Atmos. Chem. Phys., vol. 14(5), 2399-2417, https://doi.org/10.5194/acp-14-2399-2014.&lt;br /&gt;
* Mann, G. W., K. S. Carslaw, C. L. Reddington, K. J. Pringle, M. Schulz, A. Asmi, D. V. Spracklen, D. A. Ridley, M. T. Woodhouse, L. A. Lee et al. (2014): Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity, Atmos. Chem. Phys. vol. 14(9), 4679-4713, https://doi.org/10.5194/acp-14-4679-2014.&lt;br /&gt;
* Morgenstern, O., G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey (2014): Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases, Geophys. Res. Lett., 41, 9050–9057, https://doi.org/10.1002/2014GL062140.&lt;br /&gt;
* Neal, L. S. P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Application of a statistical post-processing technique to a gridded, operational, air quality forecast, Atmos. Env., vol. 98, 385-393, https://doi.org/10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* O&#039;Connor, F. M., C. E. Johnson, O. Morgenstern, N. L. Abraham, P. Braesicke, M. Dalvi, G. A. Folberth, M. G. Sanderson et al. (2014), Evaluation of the new UKCA climate-composition model. Part II. The troposphere. Geosci. Model Dev., 7, 41-91, 2014, https://doi.org/10.5194/gmd-7-41-2014.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, B. B. B. Booth, L. A. Lee, G. W. Mann, J. Browse, M. T. Woodhouse, A. Rap, C. L. Reddington, K. S. Carslaw (2014): Uncertainty in the magnitude of aerosol‐cloud radiative forcing over recent decades, Geophys. Res. Lett.  41(24), 9040-9049,  https://doi.org/10.1002/2014GL062029.&lt;br /&gt;
* Scott, C. E., A. Rap, D. V. Spracklen, P. M. Forster, K. S. Carslaw, G. W. Mann, K. J. Pringle, N. Kivekäs, M. Kulmala, H. Lihavainen and P. Tunved (2014): The direct and indirect radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 14(1), 447-470, https://doi.org/10.5194/acp-14-447-2014.&lt;br /&gt;
* Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A., Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone, Atmos. Chem. Phys., 14, 1011-1024, http://doi.org/10.5194/acp-14-1011-2014.&lt;br /&gt;
* Stock, Z. S., Russo, M. R., and Pyle, J. A. (2014): Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model, Atmos. Chem. Phys., 14, 3899-3912, https://doi.org/10.5194/acp-14-3899-2014.&lt;br /&gt;
* Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A. et al. (2014): Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection, Atmos. Chem. Phys., 14, 6035-6048, https://doi.org/10.5194/acp-14-6035-2014.&lt;br /&gt;
* Tsigaridis K., N. Daskalakis, M. Kanakidou, P. J. Adams, P. Artaxo, R. Bahadur, Y. Balkanski, S. E. Bauer, N. Bellouin et al. (2014): The AeroCom evaluation and intercomparison of organic aerosol in global models, Atmos. Chem. Phys. vol. 14(19), 10845-10895, https://doi.org/10.5194/acp-14-10845-2014.&lt;br /&gt;
* West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z. (2014): The importance of vertical velocity variability for estimates of the indirect aerosol effects, Atmos. Chem. Phys., 14, 6369-6393, https:/doi.org/10.5194/acp-14-6369-2014.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
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== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
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*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
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==2011==&lt;br /&gt;
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* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
&lt;br /&gt;
==2009==&lt;br /&gt;
&lt;br /&gt;
* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8533</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8533"/>
		<updated>2021-03-25T14:53:07Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2018 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/4187/2021/, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Recovery of the first ever multi-year lidar dataset of the stratospheric aerosol layer, from Lexington, MA, and Fairbanks, AK, January 1964 to July 1965, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-246, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Sellar, A., C. G. Jones, J. P. Mulcahy, Tang, Y., Yool, A., Wiltshire, A., O&#039;Connor, F. M., Stringer, M. et al. (2019): &amp;quot;UKESM1: Description and evaluation of the U.K. Earth System Model&amp;quot;, J. Adv. Modeling Earth Sys., vol. 11, issue 12, 4513-4558, https://doi.org/10.1029/2019MS001739&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Turnock et al., The impact of climate mitigation measures on near term climate forcers, Environ. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/ab4222, 2019.&lt;br /&gt;
* Turnock et al., 300 years of tropospheric ozone changes using CMIP6 scenarios with a parameterised approach, Atmos. Environ., https://www.sciencedirect.com/science/article/pii/S1352231019304443?via%3Dihub, 2019.      &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
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* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Mulcahy, J.P., C. Jones, A. Sellar, B. Johnson, I. A. Boutle, A. Jones, T. Andrews, S. T. Rumbold, J. Mollard, N. Bellouin, C. E. Johnson et al. (2018): Improved Aerosol Processes and Effective Radiative Forcing&lt;br /&gt;
in HadGEM3 and UKESM1, J. Adv. Mod. Earth Systems, 10, 2786-2805.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T. et al. (2015): What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II, Atmos. Chem. Phys., 16, 2765-2783, http://doi.org/10.5194/acp-16-2221-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
* Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S. et al. (2016): On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, https://doi.org/10.5194/acp-16-2765-2016.&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, http://doi.org/10.1002/2014JD023009.&lt;br /&gt;
* Dhomse, S. S., M. P. Chipperfield, W. Feng, R. Hossaini, G. W. Mann and M. L. Santee (2015): Revisiting the hemispheric asymmetry in mid-latitude ozone changes following the Mount Pinatubo eruption: A 3-D model study, Geophys. Res. Lett., vol. 42(8), 3038-3047, https://doi.org/10.1002/2015GL063052.&lt;br /&gt;
* Giordano, L., D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel et al. (2015): Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2, Atmos. Env., vol. 115, 371-388, https://doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. (2015): Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi.org/10.5194/acp-15-7557-2015.&lt;br /&gt;
* Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners et al. (2015): Processes controlling tropical tropopause temperature and stratospheric water vapour, J. Climate, 28, 6516-6535, https://doi.org/10.1175/JCLI-D-15-0075.1&lt;br /&gt;
* Mann, G. W., Dhomse, S., Deshler T., Timmreck, C, Schmidt A, Neely, R and Thomason, L. (2015): Evolving particle size is the key to improved volcanic forcings, Past Global Change, 23(2), 52-53, https://doi.org/10.22498/pages.23.2.52&lt;br /&gt;
* Planche C., J. H. Marsham, P. R. Field, K. S. Carslaw, A. A. Hill, G. W. Mann and B. J. Shipway (2015): Precipitation sensitivity to autoconversion rate in a numerical weather-prediction model, Q. J. Roy. Meteorol. Soc., vol. 141(691), 2032-2044,  https://doi.org/10.1002/qj.2497.&lt;br /&gt;
* Pope, R. J., M. P. Chipperfield, N. H. Savage, C. Ordóñez, L. S. Neal, L. A. Lee, S. S. Dhomse, N. A. D. Richards and T. D. Keslake (2015): Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions, Atmos. Chem. Phys., 15, 5611-5626, https://doi.org/10.5194/acp-15-5611-2015.&lt;br /&gt;
* Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. (2015): The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2, Atmos. Chem. Phys., 15, 11201-11215, https://doi.org/10.5194/acp-15-11201-2015.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, L. A. Lee, A. Rap, J. Browse, G. W. Mann, C. L. Reddington, K. S. Carslaw, B. B. B. Booth and M. T. Woodhouse (2015): The climatic importance of uncertainties in regional aerosol-cloud radiative forcings over recent decades,  J. Climate, vol. 28(17), 6589-6607, http://doi.org/10.1175/JCLI-D-15-0127.1&lt;br /&gt;
* Scott, C. E., D. V. Spracklen, J. R. Pierce, I. Riipinen, S. D. D&#039;Andrea, A. Rap, K. S. Carslaw, P. M. Forster et al. (2015): Impact of gas-to-particle partitioning approaches on the simulated radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 15, 12989-13001, https://doi.org/10.5194/acp-15-12989-2015.&lt;br /&gt;
* Turnock, S. T., D. V. Spracklen. K. S. Carslaw, G. W. Mann, M. T. Woodhouse, P. M. Forster, J. Haywood, C. E. Johnson et al. (2015): Modelled and observed changes in aerosols and surface solar radiation over Europe between 1960 and 2009, Atmos. Chem. Phys., 15, 9477-9500, https://doi.org/doi:10.5194/acp-15-9477-2015. &lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* Breider, T. J., M. P. Chipperfield, G. W. Mann, M. T. Woodhouse and K. S. Carslaw (2014): Suppression of CCN formation by bromine chemistry in the remote marine atmosphere, Atmos. Sci. Lett., 16(2), 141-147, https://doi.org/10.1002/asl2.539&lt;br /&gt;
* Browse, J., K. S. Carslaw, G. W. Mann, C. E. Birch, S. R. Arnold, C. Leck. (2014): The complex response of Arctic aerosol to sea-ice retreat, Atmos. Chem. Phys., 14, 7543-7557, https://doi.org/10.5194/acp-14-7543-2014.&lt;br /&gt;
* Brunner, D., N. Savage, O. Jorba, B. Eder, L. Giordano, A. Badia, A. Balzarini, R. Baró, R. Bianconi, C. Chemel et al. (2014): Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2, Atmos. Env., vol. 115, 470-498, https://doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
* Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki et al. (2014): Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future, J. Geophys. Res. Atmos., 119, 5, 2555-2573, https://doi.org/10.1002/2013JD021097.&lt;br /&gt;
* Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, et al. (2014), Aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model, Atmos. Chem. Phys., 14, 11221-11246, https://doi.org/10.5194/acp-14-11221-2014.&lt;br /&gt;
* Hayman, G. D., F. M. O&#039;Connor, M. Dalvi, D. B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising and J. P. Burrows (2014): Comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns, Atmos. Chem. Phys., 14, 13257-13280, 2014, https://doi.org/10.5194/acp-14-13257-2014. &lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone, Atmos. Env., vol. 115, 404-420, https://doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter, Atmos. Env., vol. 115, pp. 421-441, https://doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* Jiao, C., M. G. Flanner, Y. Balkanski, S. E. Bauer, N. Bellouin, T. K. Berntsen, H. Bian, K. S. Carslaw, M. Chin et al. (2014): An AeroCom assessment of black carbon in Arctic snow and sea ice, Atmos. Chem. Phys., vol. 14(5), 2399-2417, https://doi.org/10.5194/acp-14-2399-2014.&lt;br /&gt;
* Mann, G. W., K. S. Carslaw, C. L. Reddington, K. J. Pringle, M. Schulz, A. Asmi, D. V. Spracklen, D. A. Ridley, M. T. Woodhouse, L. A. Lee et al. (2014): Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity, Atmos. Chem. Phys. vol. 14(9), 4679-4713, https://doi.org/10.5194/acp-14-4679-2014.&lt;br /&gt;
* Morgenstern, O., G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey (2014): Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases, Geophys. Res. Lett., 41, 9050–9057, https://doi.org/10.1002/2014GL062140.&lt;br /&gt;
* Neal, L. S. P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Application of a statistical post-processing technique to a gridded, operational, air quality forecast, Atmos. Env., vol. 98, 385-393, https://doi.org/10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* O&#039;Connor, F. M., C. E. Johnson, O. Morgenstern, N. L. Abraham, P. Braesicke, M. Dalvi, G. A. Folberth, M. G. Sanderson et al. (2014), Evaluation of the new UKCA climate-composition model. Part II. The troposphere. Geosci. Model Dev., 7, 41-91, 2014, https://doi.org/10.5194/gmd-7-41-2014.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, B. B. B. Booth, L. A. Lee, G. W. Mann, J. Browse, M. T. Woodhouse, A. Rap, C. L. Reddington, K. S. Carslaw (2014): Uncertainty in the magnitude of aerosol‐cloud radiative forcing over recent decades, Geophys. Res. Lett.  41(24), 9040-9049,  https://doi.org/10.1002/2014GL062029.&lt;br /&gt;
* Scott, C. E., A. Rap, D. V. Spracklen, P. M. Forster, K. S. Carslaw, G. W. Mann, K. J. Pringle, N. Kivekäs, M. Kulmala, H. Lihavainen and P. Tunved (2014): The direct and indirect radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 14(1), 447-470, https://doi.org/10.5194/acp-14-447-2014.&lt;br /&gt;
* Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A., Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone, Atmos. Chem. Phys., 14, 1011-1024, http://doi.org/10.5194/acp-14-1011-2014.&lt;br /&gt;
* Stock, Z. S., Russo, M. R., and Pyle, J. A. (2014): Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model, Atmos. Chem. Phys., 14, 3899-3912, https://doi.org/10.5194/acp-14-3899-2014.&lt;br /&gt;
* Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A. et al. (2014): Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection, Atmos. Chem. Phys., 14, 6035-6048, https://doi.org/10.5194/acp-14-6035-2014.&lt;br /&gt;
* Tsigaridis K., N. Daskalakis, M. Kanakidou, P. J. Adams, P. Artaxo, R. Bahadur, Y. Balkanski, S. E. Bauer, N. Bellouin et al. (2014): The AeroCom evaluation and intercomparison of organic aerosol in global models, Atmos. Chem. Phys. vol. 14(19), 10845-10895, https://doi.org/10.5194/acp-14-10845-2014.&lt;br /&gt;
* West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z. (2014): The importance of vertical velocity variability for estimates of the indirect aerosol effects, Atmos. Chem. Phys., 14, 6369-6393, https:/doi.org/10.5194/acp-14-6369-2014.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
&lt;br /&gt;
== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
&lt;br /&gt;
*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
&lt;br /&gt;
==2011==&lt;br /&gt;
&lt;br /&gt;
* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
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==2009==&lt;br /&gt;
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* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
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==2008==&lt;br /&gt;
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* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
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==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8532</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8532"/>
		<updated>2021-03-25T14:50:58Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2019 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/4187/2021/, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Recovery of the first ever multi-year lidar dataset of the stratospheric aerosol layer, from Lexington, MA, and Fairbanks, AK, January 1964 to July 1965, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-246, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Sellar, A., C. G. Jones, J. P. Mulcahy, Tang, Y., Yool, A., Wiltshire, A., O&#039;Connor, F. M., Stringer, M. et al. (2019): &amp;quot;UKESM1: Description and evaluation of the U.K. Earth System Model&amp;quot;, J. Adv. Modeling Earth Sys., vol. 11, issue 12, 4513-4558, https://doi.org/10.1029/2019MS001739&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Turnock et al., The impact of climate mitigation measures on near term climate forcers, Environ. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/ab4222, 2019.&lt;br /&gt;
* Turnock et al., 300 years of tropospheric ozone changes using CMIP6 scenarios with a parameterised approach, Atmos. Environ., https://www.sciencedirect.com/science/article/pii/S1352231019304443?via%3Dihub, 2019.      &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T. et al. (2015): What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II, Atmos. Chem. Phys., 16, 2765-2783, http://doi.org/10.5194/acp-16-2221-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
* Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S. et al. (2016): On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, https://doi.org/10.5194/acp-16-2765-2016.&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, http://doi.org/10.1002/2014JD023009.&lt;br /&gt;
* Dhomse, S. S., M. P. Chipperfield, W. Feng, R. Hossaini, G. W. Mann and M. L. Santee (2015): Revisiting the hemispheric asymmetry in mid-latitude ozone changes following the Mount Pinatubo eruption: A 3-D model study, Geophys. Res. Lett., vol. 42(8), 3038-3047, https://doi.org/10.1002/2015GL063052.&lt;br /&gt;
* Giordano, L., D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel et al. (2015): Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2, Atmos. Env., vol. 115, 371-388, https://doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. (2015): Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi.org/10.5194/acp-15-7557-2015.&lt;br /&gt;
* Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners et al. (2015): Processes controlling tropical tropopause temperature and stratospheric water vapour, J. Climate, 28, 6516-6535, https://doi.org/10.1175/JCLI-D-15-0075.1&lt;br /&gt;
* Mann, G. W., Dhomse, S., Deshler T., Timmreck, C, Schmidt A, Neely, R and Thomason, L. (2015): Evolving particle size is the key to improved volcanic forcings, Past Global Change, 23(2), 52-53, https://doi.org/10.22498/pages.23.2.52&lt;br /&gt;
* Planche C., J. H. Marsham, P. R. Field, K. S. Carslaw, A. A. Hill, G. W. Mann and B. J. Shipway (2015): Precipitation sensitivity to autoconversion rate in a numerical weather-prediction model, Q. J. Roy. Meteorol. Soc., vol. 141(691), 2032-2044,  https://doi.org/10.1002/qj.2497.&lt;br /&gt;
* Pope, R. J., M. P. Chipperfield, N. H. Savage, C. Ordóñez, L. S. Neal, L. A. Lee, S. S. Dhomse, N. A. D. Richards and T. D. Keslake (2015): Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions, Atmos. Chem. Phys., 15, 5611-5626, https://doi.org/10.5194/acp-15-5611-2015.&lt;br /&gt;
* Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. (2015): The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2, Atmos. Chem. Phys., 15, 11201-11215, https://doi.org/10.5194/acp-15-11201-2015.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, L. A. Lee, A. Rap, J. Browse, G. W. Mann, C. L. Reddington, K. S. Carslaw, B. B. B. Booth and M. T. Woodhouse (2015): The climatic importance of uncertainties in regional aerosol-cloud radiative forcings over recent decades,  J. Climate, vol. 28(17), 6589-6607, http://doi.org/10.1175/JCLI-D-15-0127.1&lt;br /&gt;
* Scott, C. E., D. V. Spracklen, J. R. Pierce, I. Riipinen, S. D. D&#039;Andrea, A. Rap, K. S. Carslaw, P. M. Forster et al. (2015): Impact of gas-to-particle partitioning approaches on the simulated radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 15, 12989-13001, https://doi.org/10.5194/acp-15-12989-2015.&lt;br /&gt;
* Turnock, S. T., D. V. Spracklen. K. S. Carslaw, G. W. Mann, M. T. Woodhouse, P. M. Forster, J. Haywood, C. E. Johnson et al. (2015): Modelled and observed changes in aerosols and surface solar radiation over Europe between 1960 and 2009, Atmos. Chem. Phys., 15, 9477-9500, https://doi.org/doi:10.5194/acp-15-9477-2015. &lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* Breider, T. J., M. P. Chipperfield, G. W. Mann, M. T. Woodhouse and K. S. Carslaw (2014): Suppression of CCN formation by bromine chemistry in the remote marine atmosphere, Atmos. Sci. Lett., 16(2), 141-147, https://doi.org/10.1002/asl2.539&lt;br /&gt;
* Browse, J., K. S. Carslaw, G. W. Mann, C. E. Birch, S. R. Arnold, C. Leck. (2014): The complex response of Arctic aerosol to sea-ice retreat, Atmos. Chem. Phys., 14, 7543-7557, https://doi.org/10.5194/acp-14-7543-2014.&lt;br /&gt;
* Brunner, D., N. Savage, O. Jorba, B. Eder, L. Giordano, A. Badia, A. Balzarini, R. Baró, R. Bianconi, C. Chemel et al. (2014): Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2, Atmos. Env., vol. 115, 470-498, https://doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
* Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki et al. (2014): Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future, J. Geophys. Res. Atmos., 119, 5, 2555-2573, https://doi.org/10.1002/2013JD021097.&lt;br /&gt;
* Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, et al. (2014), Aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model, Atmos. Chem. Phys., 14, 11221-11246, https://doi.org/10.5194/acp-14-11221-2014.&lt;br /&gt;
* Hayman, G. D., F. M. O&#039;Connor, M. Dalvi, D. B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising and J. P. Burrows (2014): Comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns, Atmos. Chem. Phys., 14, 13257-13280, 2014, https://doi.org/10.5194/acp-14-13257-2014. &lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone, Atmos. Env., vol. 115, 404-420, https://doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter, Atmos. Env., vol. 115, pp. 421-441, https://doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* Jiao, C., M. G. Flanner, Y. Balkanski, S. E. Bauer, N. Bellouin, T. K. Berntsen, H. Bian, K. S. Carslaw, M. Chin et al. (2014): An AeroCom assessment of black carbon in Arctic snow and sea ice, Atmos. Chem. Phys., vol. 14(5), 2399-2417, https://doi.org/10.5194/acp-14-2399-2014.&lt;br /&gt;
* Mann, G. W., K. S. Carslaw, C. L. Reddington, K. J. Pringle, M. Schulz, A. Asmi, D. V. Spracklen, D. A. Ridley, M. T. Woodhouse, L. A. Lee et al. (2014): Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity, Atmos. Chem. Phys. vol. 14(9), 4679-4713, https://doi.org/10.5194/acp-14-4679-2014.&lt;br /&gt;
* Morgenstern, O., G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey (2014): Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases, Geophys. Res. Lett., 41, 9050–9057, https://doi.org/10.1002/2014GL062140.&lt;br /&gt;
* Neal, L. S. P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Application of a statistical post-processing technique to a gridded, operational, air quality forecast, Atmos. Env., vol. 98, 385-393, https://doi.org/10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* O&#039;Connor, F. M., C. E. Johnson, O. Morgenstern, N. L. Abraham, P. Braesicke, M. Dalvi, G. A. Folberth, M. G. Sanderson et al. (2014), Evaluation of the new UKCA climate-composition model. Part II. The troposphere. Geosci. Model Dev., 7, 41-91, 2014, https://doi.org/10.5194/gmd-7-41-2014.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, B. B. B. Booth, L. A. Lee, G. W. Mann, J. Browse, M. T. Woodhouse, A. Rap, C. L. Reddington, K. S. Carslaw (2014): Uncertainty in the magnitude of aerosol‐cloud radiative forcing over recent decades, Geophys. Res. Lett.  41(24), 9040-9049,  https://doi.org/10.1002/2014GL062029.&lt;br /&gt;
* Scott, C. E., A. Rap, D. V. Spracklen, P. M. Forster, K. S. Carslaw, G. W. Mann, K. J. Pringle, N. Kivekäs, M. Kulmala, H. Lihavainen and P. Tunved (2014): The direct and indirect radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 14(1), 447-470, https://doi.org/10.5194/acp-14-447-2014.&lt;br /&gt;
* Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A., Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone, Atmos. Chem. Phys., 14, 1011-1024, http://doi.org/10.5194/acp-14-1011-2014.&lt;br /&gt;
* Stock, Z. S., Russo, M. R., and Pyle, J. A. (2014): Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model, Atmos. Chem. Phys., 14, 3899-3912, https://doi.org/10.5194/acp-14-3899-2014.&lt;br /&gt;
* Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A. et al. (2014): Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection, Atmos. Chem. Phys., 14, 6035-6048, https://doi.org/10.5194/acp-14-6035-2014.&lt;br /&gt;
* Tsigaridis K., N. Daskalakis, M. Kanakidou, P. J. Adams, P. Artaxo, R. Bahadur, Y. Balkanski, S. E. Bauer, N. Bellouin et al. (2014): The AeroCom evaluation and intercomparison of organic aerosol in global models, Atmos. Chem. Phys. vol. 14(19), 10845-10895, https://doi.org/10.5194/acp-14-10845-2014.&lt;br /&gt;
* West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z. (2014): The importance of vertical velocity variability for estimates of the indirect aerosol effects, Atmos. Chem. Phys., 14, 6369-6393, https:/doi.org/10.5194/acp-14-6369-2014.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
&lt;br /&gt;
== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
&lt;br /&gt;
*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
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* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
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==2011==&lt;br /&gt;
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* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
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==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
&lt;br /&gt;
==2009==&lt;br /&gt;
&lt;br /&gt;
* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8527</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8527"/>
		<updated>2021-03-17T23:24:34Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2015 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen, R.J. et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne M., et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2019-1216/, Accepted, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Recovery of the first ever multi-year lidar dataset of the stratospheric aerosol layer, from Lexington, MA, and Fairbanks, AK, January 1964 to July 1965, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-246, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T. et al. (2015): What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II, Atmos. Chem. Phys., 16, 2765-2783, http://doi.org/10.5194/acp-16-2221-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
* Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S. et al. (2016): On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, https://doi.org/10.5194/acp-16-2765-2016.&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, http://doi.org/10.1002/2014JD023009.&lt;br /&gt;
* Dhomse, S. S., M. P. Chipperfield, W. Feng, R. Hossaini, G. W. Mann and M. L. Santee (2015): Revisiting the hemispheric asymmetry in mid-latitude ozone changes following the Mount Pinatubo eruption: A 3-D model study, Geophys. Res. Lett., vol. 42(8), 3038-3047, https://doi.org/10.1002/2015GL063052.&lt;br /&gt;
* Giordano, L., D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel et al. (2015): Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2, Atmos. Env., vol. 115, 371-388, https://doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. (2015): Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi.org/10.5194/acp-15-7557-2015.&lt;br /&gt;
* Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners et al. (2015): Processes controlling tropical tropopause temperature and stratospheric water vapour, J. Climate, 28, 6516-6535, https://doi.org/10.1175/JCLI-D-15-0075.1&lt;br /&gt;
* Mann, G. W., Dhomse, S., Deshler T., Timmreck, C, Schmidt A, Neely, R and Thomason, L. (2015): Evolving particle size is the key to improved volcanic forcings, Past Global Change, 23(2), 52-53, https://doi.org/10.22498/pages.23.2.52&lt;br /&gt;
* Planche C., J. H. Marsham, P. R. Field, K. S. Carslaw, A. A. Hill, G. W. Mann and B. J. Shipway (2015): Precipitation sensitivity to autoconversion rate in a numerical weather-prediction model, Q. J. Roy. Meteorol. Soc., vol. 141(691), 2032-2044,  https://doi.org/10.1002/qj.2497.&lt;br /&gt;
* Pope, R. J., M. P. Chipperfield, N. H. Savage, C. Ordóñez, L. S. Neal, L. A. Lee, S. S. Dhomse, N. A. D. Richards and T. D. Keslake (2015): Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions, Atmos. Chem. Phys., 15, 5611-5626, https://doi.org/10.5194/acp-15-5611-2015.&lt;br /&gt;
* Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. (2015): The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2, Atmos. Chem. Phys., 15, 11201-11215, https://doi.org/10.5194/acp-15-11201-2015.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, L. A. Lee, A. Rap, J. Browse, G. W. Mann, C. L. Reddington, K. S. Carslaw, B. B. B. Booth and M. T. Woodhouse (2015): The climatic importance of uncertainties in regional aerosol-cloud radiative forcings over recent decades,  J. Climate, vol. 28(17), 6589-6607, http://doi.org/10.1175/JCLI-D-15-0127.1&lt;br /&gt;
* Scott, C. E., D. V. Spracklen, J. R. Pierce, I. Riipinen, S. D. D&#039;Andrea, A. Rap, K. S. Carslaw, P. M. Forster et al. (2015): Impact of gas-to-particle partitioning approaches on the simulated radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 15, 12989-13001, https://doi.org/10.5194/acp-15-12989-2015.&lt;br /&gt;
* Turnock, S. T., D. V. Spracklen. K. S. Carslaw, G. W. Mann, M. T. Woodhouse, P. M. Forster, J. Haywood, C. E. Johnson et al. (2015): Modelled and observed changes in aerosols and surface solar radiation over Europe between 1960 and 2009, Atmos. Chem. Phys., 15, 9477-9500, https://doi.org/doi:10.5194/acp-15-9477-2015. &lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* Breider, T. J., M. P. Chipperfield, G. W. Mann, M. T. Woodhouse and K. S. Carslaw (2014): Suppression of CCN formation by bromine chemistry in the remote marine atmosphere, Atmos. Sci. Lett., 16(2), 141-147, https://doi.org/10.1002/asl2.539&lt;br /&gt;
* Browse, J., K. S. Carslaw, G. W. Mann, C. E. Birch, S. R. Arnold, C. Leck. (2014): The complex response of Arctic aerosol to sea-ice retreat, Atmos. Chem. Phys., 14, 7543-7557, https://doi.org/10.5194/acp-14-7543-2014.&lt;br /&gt;
* Brunner, D., N. Savage, O. Jorba, B. Eder, L. Giordano, A. Badia, A. Balzarini, R. Baró, R. Bianconi, C. Chemel et al. (2014): Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2, Atmos. Env., vol. 115, 470-498, https://doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
* Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki et al. (2014): Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future, J. Geophys. Res. Atmos., 119, 5, 2555-2573, https://doi.org/10.1002/2013JD021097.&lt;br /&gt;
* Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, et al. (2014), Aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model, Atmos. Chem. Phys., 14, 11221-11246, https://doi.org/10.5194/acp-14-11221-2014.&lt;br /&gt;
* Hayman, G. D., F. M. O&#039;Connor, M. Dalvi, D. B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising and J. P. Burrows (2014): Comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns, Atmos. Chem. Phys., 14, 13257-13280, 2014, https://doi.org/10.5194/acp-14-13257-2014. &lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone, Atmos. Env., vol. 115, 404-420, https://doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter, Atmos. Env., vol. 115, pp. 421-441, https://doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* Jiao, C., M. G. Flanner, Y. Balkanski, S. E. Bauer, N. Bellouin, T. K. Berntsen, H. Bian, K. S. Carslaw, M. Chin et al. (2014): An AeroCom assessment of black carbon in Arctic snow and sea ice, Atmos. Chem. Phys., vol. 14(5), 2399-2417, https://doi.org/10.5194/acp-14-2399-2014.&lt;br /&gt;
* Mann, G. W., K. S. Carslaw, C. L. Reddington, K. J. Pringle, M. Schulz, A. Asmi, D. V. Spracklen, D. A. Ridley, M. T. Woodhouse, L. A. Lee et al. (2014): Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity, Atmos. Chem. Phys. vol. 14(9), 4679-4713, https://doi.org/10.5194/acp-14-4679-2014.&lt;br /&gt;
* Morgenstern, O., G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey (2014): Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases, Geophys. Res. Lett., 41, 9050–9057, https://doi.org/10.1002/2014GL062140.&lt;br /&gt;
* Neal, L. S. P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Application of a statistical post-processing technique to a gridded, operational, air quality forecast, Atmos. Env., vol. 98, 385-393, https://doi.org/10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* O&#039;Connor, F. M., C. E. Johnson, O. Morgenstern, N. L. Abraham, P. Braesicke, M. Dalvi, G. A. Folberth, M. G. Sanderson et al. (2014), Evaluation of the new UKCA climate-composition model. Part II. The troposphere. Geosci. Model Dev., 7, 41-91, 2014, https://doi.org/10.5194/gmd-7-41-2014.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, B. B. B. Booth, L. A. Lee, G. W. Mann, J. Browse, M. T. Woodhouse, A. Rap, C. L. Reddington, K. S. Carslaw (2014): Uncertainty in the magnitude of aerosol‐cloud radiative forcing over recent decades, Geophys. Res. Lett.  41(24), 9040-9049,  https://doi.org/10.1002/2014GL062029.&lt;br /&gt;
* Scott, C. E., A. Rap, D. V. Spracklen, P. M. Forster, K. S. Carslaw, G. W. Mann, K. J. Pringle, N. Kivekäs, M. Kulmala, H. Lihavainen and P. Tunved (2014): The direct and indirect radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 14(1), 447-470, https://doi.org/10.5194/acp-14-447-2014.&lt;br /&gt;
* Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A., Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone, Atmos. Chem. Phys., 14, 1011-1024, http://doi.org/10.5194/acp-14-1011-2014.&lt;br /&gt;
* Stock, Z. S., Russo, M. R., and Pyle, J. A. (2014): Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model, Atmos. Chem. Phys., 14, 3899-3912, https://doi.org/10.5194/acp-14-3899-2014.&lt;br /&gt;
* Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A. et al. (2014): Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection, Atmos. Chem. Phys., 14, 6035-6048, https://doi.org/10.5194/acp-14-6035-2014.&lt;br /&gt;
* Tsigaridis K., N. Daskalakis, M. Kanakidou, P. J. Adams, P. Artaxo, R. Bahadur, Y. Balkanski, S. E. Bauer, N. Bellouin et al. (2014): The AeroCom evaluation and intercomparison of organic aerosol in global models, Atmos. Chem. Phys. vol. 14(19), 10845-10895, https://doi.org/10.5194/acp-14-10845-2014.&lt;br /&gt;
* West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z. (2014): The importance of vertical velocity variability for estimates of the indirect aerosol effects, Atmos. Chem. Phys., 14, 6369-6393, https:/doi.org/10.5194/acp-14-6369-2014.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
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== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
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*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
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==2011==&lt;br /&gt;
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* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
&lt;br /&gt;
==2009==&lt;br /&gt;
&lt;br /&gt;
* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8526</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8526"/>
		<updated>2021-03-17T23:06:03Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2020 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen, R.J. et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne M., et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2019-1216/, Accepted, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Recovery of the first ever multi-year lidar dataset of the stratospheric aerosol layer, from Lexington, MA, and Fairbanks, AK, January 1964 to July 1965, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-246, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T. et al. (2015): What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II, Atmos. Chem. Phys., 16, 2765-2783, http://doi.org/10.5194/acp-16-2221-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
* Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S. et al. (2016): On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, https://doi.org/10.5194/acp-16-2765-2016.&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, http://doi.org/10.1002/2014JD023009.&lt;br /&gt;
* Dhomse, S. S., M. P. Chipperfield, W. Feng, R. Hossaini, G. W. Mann and M. L. Santee (2015): Revisiting the hemispheric asymmetry in mid-latitude ozone changes following the Mount Pinatubo eruption: A 3-D model study, Geophys. Res. Lett., vol. 42(8), 3038-3047, https://doi.org/10.1002/2015GL063052.&lt;br /&gt;
* Giordano, L., D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel et al. (2015): Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2, Atmos. Env., vol. 115, 371-388, https://doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. (2015): Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi.org/10.5194/acp-15-7557-2015.&lt;br /&gt;
* Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners et al. (2015): Processes controlling tropical tropopause temperature and stratospheric water vapour, J. Climate, 28, 6516-6535, https://doi.org/10.1175/JCLI-D-15-0075.1&lt;br /&gt;
* Mann, G. W., Dhomse, S., Deshler T., Timmreck, C, Schmidt A, Neely, R and Thomason, L. (2015): Evolving particle size is the key to improved volcanic forcings, Past Global Change, 23(2), 52-53, https://doi.org/10.22498/pages.23.2.52&lt;br /&gt;
* Planche C., J. H. Marsham, P. R. Field, K. S. Carslaw, A. A. Hill, G. W. Mann and B. J. Shipway (2015): Precipitation sensitivity to autoconversion rate in a numerical weather-prediction model, Q. J. Roy. Meteorol. Soc., vol. 141(691), 2032-2044,  https://doi.org/10.1002/qj.2497.&lt;br /&gt;
* Pope, R. J., M. P. Chipperfield, N. H. Savage, C. Ordóñez, L. S. Neal, L. A. Lee, S. S. Dhomse, N. A. D. Richards and T. D. Keslake (2015): Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions, Atmos. Chem. Phys., 15, 5611-5626, https://doi.org/10.5194/acp-15-5611-2015.&lt;br /&gt;
* Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. (2015): The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2, Atmos. Chem. Phys., 15, 11201-11215, https://doi.org/10.5194/acp-15-11201-2015.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, L. A. Lee, A. Rap, J. Browse, G. W. Mann, C. L. Reddington, K. S. Carslaw, B. B. B. Booth and M. T. Woodhouse (2015): The climatic importance of uncertainties in regional aerosol-cloud radiative forcings over recent decades,  &lt;br /&gt;
J. Climate, vol. 28(17), 6589-6607, http://doi.org/10.1175/JCLI-D-15-0127.1&lt;br /&gt;
* Scott, C. E., D. V. Spracklen, J. R. Pierce, I. Riipinen, S. D. D&#039;Andrea, A. Rap, K. S. Carslaw, P. M. Forster et al. (2015): &lt;br /&gt;
Impact of gas-to-particle partitioning approaches on the simulated radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 15, 12989-13001, https://doi.org/10.5194/acp-15-12989-2015.&lt;br /&gt;
* Turnock, S. T., D. V. Spracklen. K. S. Carslaw, G. W. Mann, M. T. Woodhouse, P. M. Forster, J. Haywood, C. E. Johnson et al. (2015): Modelled and observed changes in aerosols and surface solar radiation over Europe between 1960 and 2009, Atmos. Chem. Phys., 15, 9477-9500, https://doi.org/doi:10.5194/acp-15-9477-2015. &lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* Breider, T. J., M. P. Chipperfield, G. W. Mann, M. T. Woodhouse and K. S. Carslaw (2014): Suppression of CCN formation by bromine chemistry in the remote marine atmosphere, Atmos. Sci. Lett., 16(2), 141-147, https://doi.org/10.1002/asl2.539&lt;br /&gt;
* Browse, J., K. S. Carslaw, G. W. Mann, C. E. Birch, S. R. Arnold, C. Leck. (2014): The complex response of Arctic aerosol to sea-ice retreat, Atmos. Chem. Phys., 14, 7543-7557, https://doi.org/10.5194/acp-14-7543-2014.&lt;br /&gt;
* Brunner, D., N. Savage, O. Jorba, B. Eder, L. Giordano, A. Badia, A. Balzarini, R. Baró, R. Bianconi, C. Chemel et al. (2014): Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2, Atmos. Env., vol. 115, 470-498, https://doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
* Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki et al. (2014): Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future, J. Geophys. Res. Atmos., 119, 5, 2555-2573, https://doi.org/10.1002/2013JD021097.&lt;br /&gt;
* Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, et al. (2014), Aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model, Atmos. Chem. Phys., 14, 11221-11246, https://doi.org/10.5194/acp-14-11221-2014.&lt;br /&gt;
* Hayman, G. D., F. M. O&#039;Connor, M. Dalvi, D. B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising and J. P. Burrows (2014): Comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns, Atmos. Chem. Phys., 14, 13257-13280, 2014, https://doi.org/10.5194/acp-14-13257-2014. &lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone, Atmos. Env., vol. 115, 404-420, https://doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter, Atmos. Env., vol. 115, pp. 421-441, https://doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* Jiao, C., M. G. Flanner, Y. Balkanski, S. E. Bauer, N. Bellouin, T. K. Berntsen, H. Bian, K. S. Carslaw, M. Chin et al. (2014): An AeroCom assessment of black carbon in Arctic snow and sea ice, Atmos. Chem. Phys., vol. 14(5), 2399-2417, https://doi.org/10.5194/acp-14-2399-2014.&lt;br /&gt;
* Mann, G. W., K. S. Carslaw, C. L. Reddington, K. J. Pringle, M. Schulz, A. Asmi, D. V. Spracklen, D. A. Ridley, M. T. Woodhouse, L. A. Lee et al. (2014): Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity, Atmos. Chem. Phys. vol. 14(9), 4679-4713, https://doi.org/10.5194/acp-14-4679-2014.&lt;br /&gt;
* Morgenstern, O., G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey (2014): Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases, Geophys. Res. Lett., 41, 9050–9057, https://doi.org/10.1002/2014GL062140.&lt;br /&gt;
* Neal, L. S. P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Application of a statistical post-processing technique to a gridded, operational, air quality forecast, Atmos. Env., vol. 98, 385-393, https://doi.org/10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* O&#039;Connor, F. M., C. E. Johnson, O. Morgenstern, N. L. Abraham, P. Braesicke, M. Dalvi, G. A. Folberth, M. G. Sanderson et al. (2014), Evaluation of the new UKCA climate-composition model. Part II. The troposphere. Geosci. Model Dev., 7, 41-91, 2014, https://doi.org/10.5194/gmd-7-41-2014.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, B. B. B. Booth, L. A. Lee, G. W. Mann, J. Browse, M. T. Woodhouse, A. Rap, C. L. Reddington, K. S. Carslaw (2014): Uncertainty in the magnitude of aerosol‐cloud radiative forcing over recent decades, Geophys. Res. Lett.  41(24), 9040-9049,  https://doi.org/10.1002/2014GL062029.&lt;br /&gt;
* Scott, C. E., A. Rap, D. V. Spracklen, P. M. Forster, K. S. Carslaw, G. W. Mann, K. J. Pringle, N. Kivekäs, M. Kulmala, H. Lihavainen and P. Tunved (2014): The direct and indirect radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 14(1), 447-470, https://doi.org/10.5194/acp-14-447-2014.&lt;br /&gt;
* Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A., Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone, Atmos. Chem. Phys., 14, 1011-1024, http://doi.org/10.5194/acp-14-1011-2014.&lt;br /&gt;
* Stock, Z. S., Russo, M. R., and Pyle, J. A. (2014): Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model, Atmos. Chem. Phys., 14, 3899-3912, https://doi.org/10.5194/acp-14-3899-2014.&lt;br /&gt;
* Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A. et al. (2014): Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection, Atmos. Chem. Phys., 14, 6035-6048, https://doi.org/10.5194/acp-14-6035-2014.&lt;br /&gt;
* Tsigaridis K., N. Daskalakis, M. Kanakidou, P. J. Adams, P. Artaxo, R. Bahadur, Y. Balkanski, S. E. Bauer, N. Bellouin et al. (2014): The AeroCom evaluation and intercomparison of organic aerosol in global models, Atmos. Chem. Phys. vol. 14(19), 10845-10895, https://doi.org/10.5194/acp-14-10845-2014.&lt;br /&gt;
* West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z. (2014): The importance of vertical velocity variability for estimates of the indirect aerosol effects, Atmos. Chem. Phys., 14, 6369-6393, https:/doi.org/10.5194/acp-14-6369-2014.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
&lt;br /&gt;
== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
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*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
&lt;br /&gt;
==2011==&lt;br /&gt;
&lt;br /&gt;
* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
&lt;br /&gt;
==2009==&lt;br /&gt;
&lt;br /&gt;
* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8525</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8525"/>
		<updated>2021-03-17T23:01:59Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2020 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen, R.J. et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne M., et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2019-1216/, Accepted, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T. et al. (2015): What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II, Atmos. Chem. Phys., 16, 2765-2783, http://doi.org/10.5194/acp-16-2221-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
* Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S. et al. (2016): On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, https://doi.org/10.5194/acp-16-2765-2016.&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, http://doi.org/10.1002/2014JD023009.&lt;br /&gt;
* Dhomse, S. S., M. P. Chipperfield, W. Feng, R. Hossaini, G. W. Mann and M. L. Santee (2015): Revisiting the hemispheric asymmetry in mid-latitude ozone changes following the Mount Pinatubo eruption: A 3-D model study, Geophys. Res. Lett., vol. 42(8), 3038-3047, https://doi.org/10.1002/2015GL063052.&lt;br /&gt;
* Giordano, L., D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel et al. (2015): Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2, Atmos. Env., vol. 115, 371-388, https://doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. (2015): Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi.org/10.5194/acp-15-7557-2015.&lt;br /&gt;
* Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners et al. (2015): Processes controlling tropical tropopause temperature and stratospheric water vapour, J. Climate, 28, 6516-6535, https://doi.org/10.1175/JCLI-D-15-0075.1&lt;br /&gt;
* Mann, G. W., Dhomse, S., Deshler T., Timmreck, C, Schmidt A, Neely, R and Thomason, L. (2015): Evolving particle size is the key to improved volcanic forcings, Past Global Change, 23(2), 52-53, https://doi.org/10.22498/pages.23.2.52&lt;br /&gt;
* Planche C., J. H. Marsham, P. R. Field, K. S. Carslaw, A. A. Hill, G. W. Mann and B. J. Shipway (2015): Precipitation sensitivity to autoconversion rate in a numerical weather-prediction model, Q. J. Roy. Meteorol. Soc., vol. 141(691), 2032-2044,  https://doi.org/10.1002/qj.2497.&lt;br /&gt;
* Pope, R. J., M. P. Chipperfield, N. H. Savage, C. Ordóñez, L. S. Neal, L. A. Lee, S. S. Dhomse, N. A. D. Richards and T. D. Keslake (2015): Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions, Atmos. Chem. Phys., 15, 5611-5626, https://doi.org/10.5194/acp-15-5611-2015.&lt;br /&gt;
* Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. (2015): The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2, Atmos. Chem. Phys., 15, 11201-11215, https://doi.org/10.5194/acp-15-11201-2015.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, L. A. Lee, A. Rap, J. Browse, G. W. Mann, C. L. Reddington, K. S. Carslaw, B. B. B. Booth and M. T. Woodhouse (2015): The climatic importance of uncertainties in regional aerosol-cloud radiative forcings over recent decades,  &lt;br /&gt;
J. Climate, vol. 28(17), 6589-6607, http://doi.org/10.1175/JCLI-D-15-0127.1&lt;br /&gt;
* Scott, C. E., D. V. Spracklen, J. R. Pierce, I. Riipinen, S. D. D&#039;Andrea, A. Rap, K. S. Carslaw, P. M. Forster et al. (2015): &lt;br /&gt;
Impact of gas-to-particle partitioning approaches on the simulated radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 15, 12989-13001, https://doi.org/10.5194/acp-15-12989-2015.&lt;br /&gt;
* Turnock, S. T., D. V. Spracklen. K. S. Carslaw, G. W. Mann, M. T. Woodhouse, P. M. Forster, J. Haywood, C. E. Johnson et al. (2015): Modelled and observed changes in aerosols and surface solar radiation over Europe between 1960 and 2009, Atmos. Chem. Phys., 15, 9477-9500, https://doi.org/doi:10.5194/acp-15-9477-2015. &lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* Breider, T. J., M. P. Chipperfield, G. W. Mann, M. T. Woodhouse and K. S. Carslaw (2014): Suppression of CCN formation by bromine chemistry in the remote marine atmosphere, Atmos. Sci. Lett., 16(2), 141-147, https://doi.org/10.1002/asl2.539&lt;br /&gt;
* Browse, J., K. S. Carslaw, G. W. Mann, C. E. Birch, S. R. Arnold, C. Leck. (2014): The complex response of Arctic aerosol to sea-ice retreat, Atmos. Chem. Phys., 14, 7543-7557, https://doi.org/10.5194/acp-14-7543-2014.&lt;br /&gt;
* Brunner, D., N. Savage, O. Jorba, B. Eder, L. Giordano, A. Badia, A. Balzarini, R. Baró, R. Bianconi, C. Chemel et al. (2014): Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2, Atmos. Env., vol. 115, 470-498, https://doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
* Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki et al. (2014): Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future, J. Geophys. Res. Atmos., 119, 5, 2555-2573, https://doi.org/10.1002/2013JD021097.&lt;br /&gt;
* Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, et al. (2014), Aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model, Atmos. Chem. Phys., 14, 11221-11246, https://doi.org/10.5194/acp-14-11221-2014.&lt;br /&gt;
* Hayman, G. D., F. M. O&#039;Connor, M. Dalvi, D. B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising and J. P. Burrows (2014): Comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns, Atmos. Chem. Phys., 14, 13257-13280, 2014, https://doi.org/10.5194/acp-14-13257-2014. &lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone, Atmos. Env., vol. 115, 404-420, https://doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter, Atmos. Env., vol. 115, pp. 421-441, https://doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* Jiao, C., M. G. Flanner, Y. Balkanski, S. E. Bauer, N. Bellouin, T. K. Berntsen, H. Bian, K. S. Carslaw, M. Chin et al. (2014): An AeroCom assessment of black carbon in Arctic snow and sea ice, Atmos. Chem. Phys., vol. 14(5), 2399-2417, https://doi.org/10.5194/acp-14-2399-2014.&lt;br /&gt;
* Mann, G. W., K. S. Carslaw, C. L. Reddington, K. J. Pringle, M. Schulz, A. Asmi, D. V. Spracklen, D. A. Ridley, M. T. Woodhouse, L. A. Lee et al. (2014): Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity, Atmos. Chem. Phys. vol. 14(9), 4679-4713, https://doi.org/10.5194/acp-14-4679-2014.&lt;br /&gt;
* Morgenstern, O., G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey (2014): Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases, Geophys. Res. Lett., 41, 9050–9057, https://doi.org/10.1002/2014GL062140.&lt;br /&gt;
* Neal, L. S. P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Application of a statistical post-processing technique to a gridded, operational, air quality forecast, Atmos. Env., vol. 98, 385-393, https://doi.org/10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* O&#039;Connor, F. M., C. E. Johnson, O. Morgenstern, N. L. Abraham, P. Braesicke, M. Dalvi, G. A. Folberth, M. G. Sanderson et al. (2014), Evaluation of the new UKCA climate-composition model. Part II. The troposphere. Geosci. Model Dev., 7, 41-91, 2014, https://doi.org/10.5194/gmd-7-41-2014.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, B. B. B. Booth, L. A. Lee, G. W. Mann, J. Browse, M. T. Woodhouse, A. Rap, C. L. Reddington, K. S. Carslaw (2014): Uncertainty in the magnitude of aerosol‐cloud radiative forcing over recent decades, Geophys. Res. Lett.  41(24), 9040-9049,  https://doi.org/10.1002/2014GL062029.&lt;br /&gt;
* Scott, C. E., A. Rap, D. V. Spracklen, P. M. Forster, K. S. Carslaw, G. W. Mann, K. J. Pringle, N. Kivekäs, M. Kulmala, H. Lihavainen and P. Tunved (2014): The direct and indirect radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 14(1), 447-470, https://doi.org/10.5194/acp-14-447-2014.&lt;br /&gt;
* Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A., Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone, Atmos. Chem. Phys., 14, 1011-1024, http://doi.org/10.5194/acp-14-1011-2014.&lt;br /&gt;
* Stock, Z. S., Russo, M. R., and Pyle, J. A. (2014): Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model, Atmos. Chem. Phys., 14, 3899-3912, https://doi.org/10.5194/acp-14-3899-2014.&lt;br /&gt;
* Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A. et al. (2014): Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection, Atmos. Chem. Phys., 14, 6035-6048, https://doi.org/10.5194/acp-14-6035-2014.&lt;br /&gt;
* Tsigaridis K., N. Daskalakis, M. Kanakidou, P. J. Adams, P. Artaxo, R. Bahadur, Y. Balkanski, S. E. Bauer, N. Bellouin et al. (2014): The AeroCom evaluation and intercomparison of organic aerosol in global models, Atmos. Chem. Phys. vol. 14(19), 10845-10895, https://doi.org/10.5194/acp-14-10845-2014.&lt;br /&gt;
* West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z. (2014): The importance of vertical velocity variability for estimates of the indirect aerosol effects, Atmos. Chem. Phys., 14, 6369-6393, https:/doi.org/10.5194/acp-14-6369-2014.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
&lt;br /&gt;
== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
&lt;br /&gt;
*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
&lt;br /&gt;
==2011==&lt;br /&gt;
&lt;br /&gt;
* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
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==2009==&lt;br /&gt;
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* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
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==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8524</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8524"/>
		<updated>2021-03-17T23:00:03Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2014 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen, R.J. et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne M., et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2019-1216/, Accepted, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T. et al. (2015): What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II, Atmos. Chem. Phys., 16, 2765-2783, http://doi.org/10.5194/acp-16-2221-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
* Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S. et al. (2016): On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, https://doi.org/10.5194/acp-16-2765-2016.&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, http://doi.org/10.1002/2014JD023009.&lt;br /&gt;
* Dhomse, S. S., M. P. Chipperfield, W. Feng, R. Hossaini, G. W. Mann and M. L. Santee (2015): Revisiting the hemispheric asymmetry in mid-latitude ozone changes following the Mount Pinatubo eruption: A 3-D model study, Geophys. Res. Lett., vol. 42(8), 3038-3047, https://doi.org/10.1002/2015GL063052.&lt;br /&gt;
* Giordano, L., D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel et al. (2015): Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2, Atmos. Env., vol. 115, 371-388, https://doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. (2015): Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi.org/10.5194/acp-15-7557-2015.&lt;br /&gt;
* Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners et al. (2015): Processes controlling tropical tropopause temperature and stratospheric water vapour, J. Climate, 28, 6516-6535, https://doi.org/10.1175/JCLI-D-15-0075.1&lt;br /&gt;
* Mann, G. W., Dhomse, S., Deshler T., Timmreck, C, Schmidt A, Neely, R and Thomason, L. (2015): Evolving particle size is the key to improved volcanic forcings, Past Global Change, 23(2), 52-53, https://doi.org/10.22498/pages.23.2.52&lt;br /&gt;
* Planche C., J. H. Marsham, P. R. Field, K. S. Carslaw, A. A. Hill, G. W. Mann and B. J. Shipway (2015): Precipitation sensitivity to autoconversion rate in a numerical weather-prediction model, Q. J. Roy. Meteorol. Soc., vol. 141(691), 2032-2044,  https://doi.org/10.1002/qj.2497.&lt;br /&gt;
* Pope, R. J., M. P. Chipperfield, N. H. Savage, C. Ordóñez, L. S. Neal, L. A. Lee, S. S. Dhomse, N. A. D. Richards and T. D. Keslake (2015): Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions, Atmos. Chem. Phys., 15, 5611-5626, https://doi.org/10.5194/acp-15-5611-2015.&lt;br /&gt;
* Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. (2015): The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2, Atmos. Chem. Phys., 15, 11201-11215, https://doi.org/10.5194/acp-15-11201-2015.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, L. A. Lee, A. Rap, J. Browse, G. W. Mann, C. L. Reddington, K. S. Carslaw, B. B. B. Booth and M. T. Woodhouse (2015): The climatic importance of uncertainties in regional aerosol-cloud radiative forcings over recent decades,  &lt;br /&gt;
J. Climate, vol. 28(17), 6589-6607, http://doi.org/10.1175/JCLI-D-15-0127.1&lt;br /&gt;
* Scott, C. E., D. V. Spracklen, J. R. Pierce, I. Riipinen, S. D. D&#039;Andrea, A. Rap, K. S. Carslaw, P. M. Forster et al. (2015): &lt;br /&gt;
Impact of gas-to-particle partitioning approaches on the simulated radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 15, 12989-13001, https://doi.org/10.5194/acp-15-12989-2015.&lt;br /&gt;
* Turnock, S. T., D. V. Spracklen. K. S. Carslaw, G. W. Mann, M. T. Woodhouse, P. M. Forster, J. Haywood, C. E. Johnson et al. (2015): Modelled and observed changes in aerosols and surface solar radiation over Europe between 1960 and 2009, Atmos. Chem. Phys., 15, 9477-9500, https://doi.org/doi:10.5194/acp-15-9477-2015. &lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* Breider, T. J., M. P. Chipperfield, G. W. Mann, M. T. Woodhouse and K. S. Carslaw (2014): Suppression of CCN formation by bromine chemistry in the remote marine atmosphere, Atmos. Sci. Lett., 16(2), 141-147, https://doi.org/10.1002/asl2.539&lt;br /&gt;
* Browse, J., K. S. Carslaw, G. W. Mann, C. E. Birch, S. R. Arnold, C. Leck. (2014): The complex response of Arctic aerosol to sea-ice retreat, Atmos. Chem. Phys., 14, 7543-7557, https://doi.org/10.5194/acp-14-7543-2014.&lt;br /&gt;
* Brunner, D., N. Savage, O. Jorba, B. Eder, L. Giordano, A. Badia, A. Balzarini, R. Baró, R. Bianconi, C. Chemel et al. (2014): Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2, Atmos. Env., vol. 115, 470-498, https://doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
* Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki et al. (2014): Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future, J. Geophys. Res. Atmos., 119, 5, 2555-2573, https://doi.org/10.1002/2013JD021097.&lt;br /&gt;
* Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, et al. (2014), Aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model, Atmos. Chem. Phys., 14, 11221-11246, https://doi.org/10.5194/acp-14-11221-2014.&lt;br /&gt;
* Hayman, G. D., F. M. O&#039;Connor, M. Dalvi, D. B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising and J. P. Burrows (2014): Comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns, Atmos. Chem. Phys., 14, 13257-13280, 2014, https://doi.org/10.5194/acp-14-13257-2014. &lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone, Atmos. Env., vol. 115, 404-420, https://doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter, Atmos. Env., vol. 115, pp. 421-441, https://doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* Jiao, C., M. G. Flanner, Y. Balkanski, S. E. Bauer, N. Bellouin, T. K. Berntsen, H. Bian, K. S. Carslaw, M. Chin et al. (2014): An AeroCom assessment of black carbon in Arctic snow and sea ice, Atmos. Chem. Phys., vol. 14(5), 2399-2417, https://doi.org/10.5194/acp-14-2399-2014.&lt;br /&gt;
* Mann, G. W., K. S. Carslaw, C. L. Reddington, K. J. Pringle, M. Schulz, A. Asmi, D. V. Spracklen, D. A. Ridley, M. T. Woodhouse, L. A. Lee et al. (2014): Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity, Atmos. Chem. Phys. vol. 14(9), 4679-4713, https://doi.org/10.5194/acp-14-4679-2014.&lt;br /&gt;
* Morgenstern, O., G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey (2014): Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases, Geophys. Res. Lett., 41, 9050–9057, https://doi.org/10.1002/2014GL062140.&lt;br /&gt;
* Neal, L. S. P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Application of a statistical post-processing technique to a gridded, operational, air quality forecast, Atmos. Env., vol. 98, 385-393, https://doi.org/10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* O&#039;Connor, F. M., C. E. Johnson, O. Morgenstern, N. L. Abraham, P. Braesicke, M. Dalvi, G. A. Folberth, M. G. Sanderson et al. (2014), Evaluation of the new UKCA climate-composition model. Part II. The troposphere. Geosci. Model Dev., 7, 41-91, 2014, https://doi.org/10.5194/gmd-7-41-2014.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, B. B. B. Booth, L. A. Lee, G. W. Mann, J. Browse, M. T. Woodhouse, A. Rap, C. L. Reddington, K. S. Carslaw (2014): Uncertainty in the magnitude of aerosol‐cloud radiative forcing over recent decades, Geophys. Res. Lett.  41(24), 9040-9049,  https://doi.org/10.1002/2014GL062029.&lt;br /&gt;
* Scott, C. E., A. Rap, D. V. Spracklen, P. M. Forster, K. S. Carslaw, G. W. Mann, K. J. Pringle, N. Kivekäs, M. Kulmala, H. Lihavainen and P. Tunved (2014): The direct and indirect radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 14(1), 447-470, https://doi.org/10.5194/acp-14-447-2014.&lt;br /&gt;
* Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A., Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone, Atmos. Chem. Phys., 14, 1011-1024, http://doi.org/10.5194/acp-14-1011-2014.&lt;br /&gt;
* Stock, Z. S., Russo, M. R., and Pyle, J. A. (2014): Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model, Atmos. Chem. Phys., 14, 3899-3912, https://doi.org/10.5194/acp-14-3899-2014.&lt;br /&gt;
* Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A. et al. (2014): Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection, Atmos. Chem. Phys., 14, 6035-6048, https://doi.org/10.5194/acp-14-6035-2014.&lt;br /&gt;
* Tsigaridis K., N. Daskalakis, M. Kanakidou, P. J. Adams, P. Artaxo, R. Bahadur, Y. Balkanski, S. E. Bauer, N. Bellouin et al. (2014): The AeroCom evaluation and intercomparison of organic aerosol in global models, Atmos. Chem. Phys. vol. 14(19), 10845-10895, https://doi.org/10.5194/acp-14-10845-2014.&lt;br /&gt;
* West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z. (2014): The importance of vertical velocity variability for estimates of the indirect aerosol effects, Atmos. Chem. Phys., 14, 6369-6393, https:/doi.org/10.5194/acp-14-6369-2014.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
&lt;br /&gt;
== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
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* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
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* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
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*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
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* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
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==2011==&lt;br /&gt;
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* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
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==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
&lt;br /&gt;
==2009==&lt;br /&gt;
&lt;br /&gt;
* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8523</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8523"/>
		<updated>2021-03-17T22:59:30Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2014 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen, R.J. et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne M., et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2019-1216/, Accepted, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T. et al. (2015): What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II, Atmos. Chem. Phys., 16, 2765-2783, http://doi.org/10.5194/acp-16-2221-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
* Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S. et al. (2016): On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, https://doi.org/10.5194/acp-16-2765-2016.&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, http://doi.org/10.1002/2014JD023009.&lt;br /&gt;
* Dhomse, S. S., M. P. Chipperfield, W. Feng, R. Hossaini, G. W. Mann and M. L. Santee (2015): Revisiting the hemispheric asymmetry in mid-latitude ozone changes following the Mount Pinatubo eruption: A 3-D model study, Geophys. Res. Lett., vol. 42(8), 3038-3047, https://doi.org/10.1002/2015GL063052.&lt;br /&gt;
* Giordano, L., D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel et al. (2015): Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2, Atmos. Env., vol. 115, 371-388, https://doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. (2015): Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi.org/10.5194/acp-15-7557-2015.&lt;br /&gt;
* Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners et al. (2015): Processes controlling tropical tropopause temperature and stratospheric water vapour, J. Climate, 28, 6516-6535, https://doi.org/10.1175/JCLI-D-15-0075.1&lt;br /&gt;
* Mann, G. W., Dhomse, S., Deshler T., Timmreck, C, Schmidt A, Neely, R and Thomason, L. (2015): Evolving particle size is the key to improved volcanic forcings, Past Global Change, 23(2), 52-53, https://doi.org/10.22498/pages.23.2.52&lt;br /&gt;
* Planche C., J. H. Marsham, P. R. Field, K. S. Carslaw, A. A. Hill, G. W. Mann and B. J. Shipway (2015): Precipitation sensitivity to autoconversion rate in a numerical weather-prediction model, Q. J. Roy. Meteorol. Soc., vol. 141(691), 2032-2044,  https://doi.org/10.1002/qj.2497.&lt;br /&gt;
* Pope, R. J., M. P. Chipperfield, N. H. Savage, C. Ordóñez, L. S. Neal, L. A. Lee, S. S. Dhomse, N. A. D. Richards and T. D. Keslake (2015): Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions, Atmos. Chem. Phys., 15, 5611-5626, https://doi.org/10.5194/acp-15-5611-2015.&lt;br /&gt;
* Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. (2015): The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2, Atmos. Chem. Phys., 15, 11201-11215, https://doi.org/10.5194/acp-15-11201-2015.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, L. A. Lee, A. Rap, J. Browse, G. W. Mann, C. L. Reddington, K. S. Carslaw, B. B. B. Booth and M. T. Woodhouse (2015): The climatic importance of uncertainties in regional aerosol-cloud radiative forcings over recent decades,  &lt;br /&gt;
J. Climate, vol. 28(17), 6589-6607, http://doi.org/10.1175/JCLI-D-15-0127.1&lt;br /&gt;
* Scott, C. E., D. V. Spracklen, J. R. Pierce, I. Riipinen, S. D. D&#039;Andrea, A. Rap, K. S. Carslaw, P. M. Forster et al. (2015): &lt;br /&gt;
Impact of gas-to-particle partitioning approaches on the simulated radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 15, 12989-13001, https://doi.org/10.5194/acp-15-12989-2015.&lt;br /&gt;
* Turnock, S. T., D. V. Spracklen. K. S. Carslaw, G. W. Mann, M. T. Woodhouse, P. M. Forster, J. Haywood, C. E. Johnson et al. (2015): Modelled and observed changes in aerosols and surface solar radiation over Europe between 1960 and 2009, Atmos. Chem. Phys., 15, 9477-9500, https://doi.org/doi:10.5194/acp-15-9477-2015. &lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* Breider, T. J., M. P. Chipperfield, G. W. Mann, M. T. Woodhouse and K. S. Carslaw (2014): Suppression of CCN formation by bromine chemistry in the remote marine atmosphere, Atmos. Sci. Lett., 16(2), 141-147, https://doi.org/10.1002/asl2.539&lt;br /&gt;
* Browse, J., K. S. Carslaw, G. W. Mann, C. E. Birch, S. R. Arnold, C. Leck. (2014): The complex response of Arctic aerosol to sea-ice retreat, Atmos. Chem. Phys., 14, 7543-7557, https://doi.org/10.5194/acp-14-7543-2014.&lt;br /&gt;
* Brunner, D., N. Savage, O. Jorba, B. Eder, L. Giordano, A. Badia, A. Balzarini, R. Baró, R. Bianconi, C. Chemel et al. (2014): Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2, Atmos. Env., vol. 115, 470-498, https://doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
* Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki et al. (2014): Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future, J. Geophys. Res. Atmos., 119, 5, 2555-2573, https://doi.org/10.1002/2013JD021097.&lt;br /&gt;
* Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, et al. (2014), Aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model, Atmos. Chem. Phys., 14, 11221-11246, https://doi.org/10.5194/acp-14-11221-2014.&lt;br /&gt;
* Hayman, G. D., F. M. O&#039;Connor, M. Dalvi, D. B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising and J. P. Burrows (2014): Comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns, Atmos. Chem. Phys., 14, 13257-13280, 2014, https://doi.org/10.5194/acp-14-13257-2014. &lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone, Atmos. Env., vol. 115, 404-420, https://doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter, Atmos. Env., vol. 115, pp. 421-441, https://doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* Jiao, C., M. G. Flanner, Y. Balkanski, S. E. Bauer, N. Bellouin, T. K. Berntsen, H. Bian, K. S. Carslaw, M. Chin et al. (2014): An AeroCom assessment of black carbon in Arctic snow and sea ice, Atmos. Chem. Phys., vol. 14(5), 2399-2417, https://doi.org/10.5194/acp-14-2399-2014.&lt;br /&gt;
* Mann, G. W., K. S. Carslaw, C. L. Reddington, K. J. Pringle, M. Schulz, A. Asmi, D. V. Spracklen, D. A. Ridley, M. T. Woodhouse, L. A. Lee et al. (2014): Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity, Atmos. Chem. Phys. vol. 14(9), 4679-4713, https://doi.org/10.5194/acp-14-4679-2014.&lt;br /&gt;
* Morgenstern, O., G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey (2014): Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases, Geophys. Res. Lett., 41, 9050–9057, https://doi.org/10.1002/2014GL062140.&lt;br /&gt;
* Neal, L. S. P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Application of a statistical post-processing technique to a gridded, operational, air quality forecast, Atmos. Env., vol. 98, 385-393, https://doi.org/10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* O&#039;Connor, F. M., C. E. Johnson, O. Morgenstern, N. L. Abraham, P. Braesicke, M. Dalvi, G. A. Folberth, M. G. Sanderson et al. (2014), Evaluation of the new UKCA climate-composition model. Part II. The troposphere. Geosci. Model Dev., 7, 41-91, 2014, https://doi.org/10.5194/gmd-7-41-2014.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, B. B. B. Booth, L. A. Lee, G. W. Mann, J. Browse, M. T. Woodhouse, A. Rap, C. L. Reddington, K. S. Carslaw (2014): Uncertainty in the magnitude of aerosol‐cloud radiative forcing over recent decades, Geophys. Res. Lett.  41(24), 9040-9049,  https://doi.org/10.1002/2014GL062029.&lt;br /&gt;
* Scott, C. E., A. Rap, D. V. Spracklen, P. M. Forster, K. S. Carslaw, G. W. Mann, K. J. Pringle, N. Kivekäs, M. Kulmala, H. Lihavainen and P. Tunved (2014): The direct and indirect radiative effects of biogenic secondary organic aerosol, &lt;br /&gt;
Atmos. Chem. Phys., 14(1), 447-470, https://doi.org/10.5194/acp-14-447-2014.&lt;br /&gt;
* Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A., Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone, Atmos. Chem. Phys., 14, 1011-1024, http://doi.org/10.5194/acp-14-1011-2014.&lt;br /&gt;
* Stock, Z. S., Russo, M. R., and Pyle, J. A. (2014): Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model, Atmos. Chem. Phys., 14, 3899-3912, https://doi.org/10.5194/acp-14-3899-2014.&lt;br /&gt;
* Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A. et al. (2014): Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection, Atmos. Chem. Phys., 14, 6035-6048, https://doi.org/10.5194/acp-14-6035-2014.&lt;br /&gt;
* Tsigaridis K., N. Daskalakis, M. Kanakidou, P. J. Adams, P. Artaxo, R. Bahadur, Y. Balkanski, S. E. Bauer, N. Bellouin et al. (2014): The AeroCom evaluation and intercomparison of organic aerosol in global models, Atmos. Chem. Phys. vol. 14(19), 10845-10895, https://doi.org/10.5194/acp-14-10845-2014.&lt;br /&gt;
* West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z. (2014): The importance of vertical velocity variability for estimates of the indirect aerosol effects, Atmos. Chem. Phys., 14, 6369-6393, https:/doi.org/10.5194/acp-14-6369-2014.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
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== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
&lt;br /&gt;
*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
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==2011==&lt;br /&gt;
&lt;br /&gt;
* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
&lt;br /&gt;
==2009==&lt;br /&gt;
&lt;br /&gt;
* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8522</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8522"/>
		<updated>2021-03-17T22:58:47Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2014 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen, R.J. et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne M., et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2019-1216/, Accepted, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T. et al. (2015): What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II, Atmos. Chem. Phys., 16, 2765-2783, http://doi.org/10.5194/acp-16-2221-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
* Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S. et al. (2016): On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, https://doi.org/10.5194/acp-16-2765-2016.&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, http://doi.org/10.1002/2014JD023009.&lt;br /&gt;
* Dhomse, S. S., M. P. Chipperfield, W. Feng, R. Hossaini, G. W. Mann and M. L. Santee (2015): Revisiting the hemispheric asymmetry in mid-latitude ozone changes following the Mount Pinatubo eruption: A 3-D model study, Geophys. Res. Lett., vol. 42(8), 3038-3047, https://doi.org/10.1002/2015GL063052.&lt;br /&gt;
* Giordano, L., D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel et al. (2015): Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2, Atmos. Env., vol. 115, 371-388, https://doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. (2015): Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi.org/10.5194/acp-15-7557-2015.&lt;br /&gt;
* Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners et al. (2015): Processes controlling tropical tropopause temperature and stratospheric water vapour, J. Climate, 28, 6516-6535, https://doi.org/10.1175/JCLI-D-15-0075.1&lt;br /&gt;
* Mann, G. W., Dhomse, S., Deshler T., Timmreck, C, Schmidt A, Neely, R and Thomason, L. (2015): Evolving particle size is the key to improved volcanic forcings, Past Global Change, 23(2), 52-53, https://doi.org/10.22498/pages.23.2.52&lt;br /&gt;
* Planche C., J. H. Marsham, P. R. Field, K. S. Carslaw, A. A. Hill, G. W. Mann and B. J. Shipway (2015): Precipitation sensitivity to autoconversion rate in a numerical weather-prediction model, Q. J. Roy. Meteorol. Soc., vol. 141(691), 2032-2044,  https://doi.org/10.1002/qj.2497.&lt;br /&gt;
* Pope, R. J., M. P. Chipperfield, N. H. Savage, C. Ordóñez, L. S. Neal, L. A. Lee, S. S. Dhomse, N. A. D. Richards and T. D. Keslake (2015): Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions, Atmos. Chem. Phys., 15, 5611-5626, https://doi.org/10.5194/acp-15-5611-2015.&lt;br /&gt;
* Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. (2015): The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2, Atmos. Chem. Phys., 15, 11201-11215, https://doi.org/10.5194/acp-15-11201-2015.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, L. A. Lee, A. Rap, J. Browse, G. W. Mann, C. L. Reddington, K. S. Carslaw, B. B. B. Booth and M. T. Woodhouse (2015): The climatic importance of uncertainties in regional aerosol-cloud radiative forcings over recent decades,  &lt;br /&gt;
J. Climate, vol. 28(17), 6589-6607, http://doi.org/10.1175/JCLI-D-15-0127.1&lt;br /&gt;
* Scott, C. E., D. V. Spracklen, J. R. Pierce, I. Riipinen, S. D. D&#039;Andrea, A. Rap, K. S. Carslaw, P. M. Forster et al. (2015): &lt;br /&gt;
Impact of gas-to-particle partitioning approaches on the simulated radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 15, 12989-13001, https://doi.org/10.5194/acp-15-12989-2015.&lt;br /&gt;
* Turnock, S. T., D. V. Spracklen. K. S. Carslaw, G. W. Mann, M. T. Woodhouse, P. M. Forster, J. Haywood, C. E. Johnson et al. (2015): Modelled and observed changes in aerosols and surface solar radiation over Europe between 1960 and 2009, Atmos. Chem. Phys., 15, 9477-9500, https://doi.org/doi:10.5194/acp-15-9477-2015. &lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* Breider, T. J., M. P. Chipperfield, G. W. Mann, M. T. Woodhouse and K. S. Carslaw (2014): Suppression of CCN formation by bromine chemistry in the remote marine atmosphere, Atmos. Sci. Lett., 16(2), 141-147, https://doi.org/10.1002/asl2.539&lt;br /&gt;
* Browse, J., K. S. Carslaw, G. W. Mann, C. E. Birch, S. R. Arnold, C. Leck. (2014): The complex response of Arctic aerosol to sea-ice retreat, Atmos. Chem. Phys., 14, 7543-7557, https://doi.org/10.5194/acp-14-7543-2014.&lt;br /&gt;
* Brunner, D., N. Savage, O. Jorba, B. Eder, L. Giordano, A. Badia, A. Balzarini, R. Baró, R. Bianconi, C. Chemel et al. (2014): Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2, Atmos. Env., vol. 115, 470-498, https://doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
* Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki et al. (2014): Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future, J. Geophys. Res. Atmos., 119, 5, 2555-2573, https://doi.org/10.1002/2013JD021097.&lt;br /&gt;
* Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, et al. (2014), Aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model, Atmos. Chem. Phys., 14, 11221-11246, https://doi.org/10.5194/acp-14-11221-2014.&lt;br /&gt;
* Hayman, G. D., F. M. O&#039;Connor, M. Dalvi, D. B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising and J. P. Burrows (2014): Comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns, Atmos. Chem. Phys., 14, 13257-13280, 2014, https://doi.org/10.5194/acp-14-13257-2014. &lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone, Atmos. Env., vol. 115, 404-420, https://doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* Im, U., R. Bianconi, E. Solazzo, I. Kioutsioukis, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel et al. (2014): Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter, Atmos. Env., vol. 115, pp. 421-441, https://doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* Jiao, C., M. G. Flanner, Y. Balkanski, S. E. Bauer, N. Bellouin, T. K. Berntsen, H. Bian, K. S. Carslaw, M. Chin et al. (2014):&lt;br /&gt;
An AeroCom assessment of black carbon in Arctic snow and sea ice, Atmos. Chem. Phys., vol. 14(5), 2399-2417, https://doi.org/10.5194/acp-14-2399-2014.&lt;br /&gt;
* Mann, G. W., K. S. Carslaw, C. L. Reddington, K. J. Pringle, M. Schulz, A. Asmi, D. V. Spracklen, D. A. Ridley, M. T. Woodhouse, L. A. Lee et al. (2014): Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity, Atmos. Chem. Phys. vol. 14(9), 4679-4713, https://doi.org/10.5194/acp-14-4679-2014.&lt;br /&gt;
* Morgenstern, O., G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey (2014): Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases, Geophys. Res. Lett., 41, 9050–9057, https://doi.org/10.1002/2014GL062140.&lt;br /&gt;
* Neal, L. S. P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Application of a statistical post-processing technique to a gridded, operational, air quality forecast, Atmos. Env., vol. 98, 385-393, https://doi.org/10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* O&#039;Connor, F. M., C. E. Johnson, O. Morgenstern, N. L. Abraham, P. Braesicke, M. Dalvi, G. A. Folberth, M. G. Sanderson et al. (2014), Evaluation of the new UKCA climate-composition model. Part II. The troposphere. Geosci. Model Dev., 7, 41-91, 2014, https://doi.org/10.5194/gmd-7-41-2014.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, B. B. B. Booth, L. A. Lee, G. W. Mann, J. Browse, M. T. Woodhouse, A. Rap, C. L. Reddington, K. S. Carslaw (2014): Uncertainty in the magnitude of aerosol‐cloud radiative forcing over recent decades, Geophys. Res. Lett.  41(24), 9040-9049,  https://doi.org/10.1002/2014GL062029.&lt;br /&gt;
* Scott, C. E., A. Rap, D. V. Spracklen, P. M. Forster, K. S. Carslaw, G. W. Mann, K. J. Pringle, N. Kivekäs, M. Kulmala, H. Lihavainen and P. Tunved (2014): The direct and indirect radiative effects of biogenic secondary organic aerosol, &lt;br /&gt;
Atmos. Chem. Phys., 14(1), 447-470, https://doi.org/10.5194/acp-14-447-2014.&lt;br /&gt;
* Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A., Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone, Atmos. Chem. Phys., 14, 1011-1024, http://doi.org/10.5194/acp-14-1011-2014.&lt;br /&gt;
* Stock, Z. S., Russo, M. R., and Pyle, J. A. (2014): Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model, Atmos. Chem. Phys., 14, 3899-3912, https://doi.org/10.5194/acp-14-3899-2014.&lt;br /&gt;
* Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A. et al. (2014): Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection, Atmos. Chem. Phys., 14, 6035-6048, https://doi.org/10.5194/acp-14-6035-2014.&lt;br /&gt;
* Tsigaridis K., N. Daskalakis, M. Kanakidou, P. J. Adams, P. Artaxo, R. Bahadur, Y. Balkanski, S. E. Bauer, N. Bellouin et al. (2014): The AeroCom evaluation and intercomparison of organic aerosol in global models, Atmos. Chem. Phys. vol. 14(19), 10845-10895, https://doi.org/10.5194/acp-14-10845-2014.&lt;br /&gt;
* West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z. (2014): The importance of vertical velocity variability for estimates of the indirect aerosol effects, Atmos. Chem. Phys., 14, 6369-6393, https:/doi.org/10.5194/acp-14-6369-2014.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
&lt;br /&gt;
== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
&lt;br /&gt;
*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
&lt;br /&gt;
==2011==&lt;br /&gt;
&lt;br /&gt;
* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
&lt;br /&gt;
==2009==&lt;br /&gt;
&lt;br /&gt;
* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8521</id>
		<title>Publications</title>
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		<updated>2021-03-17T22:21:50Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2015 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen, R.J. et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne M., et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2019-1216/, Accepted, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T. et al. (2015): What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II, Atmos. Chem. Phys., 16, 2765-2783, http://doi.org/10.5194/acp-16-2221-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
* Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S. et al. (2016): On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, https://doi.org/10.5194/acp-16-2765-2016.&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, http://doi.org/10.1002/2014JD023009.&lt;br /&gt;
* Dhomse, S. S., M. P. Chipperfield, W. Feng, R. Hossaini, G. W. Mann and M. L. Santee (2015): Revisiting the hemispheric asymmetry in mid-latitude ozone changes following the Mount Pinatubo eruption: A 3-D model study, Geophys. Res. Lett., vol. 42(8), 3038-3047, https://doi.org/10.1002/2015GL063052.&lt;br /&gt;
* Giordano, L., D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel et al. (2015): Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2, Atmos. Env., vol. 115, 371-388, https://doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. (2015): Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi.org/10.5194/acp-15-7557-2015.&lt;br /&gt;
* Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners et al. (2015): Processes controlling tropical tropopause temperature and stratospheric water vapour, J. Climate, 28, 6516-6535, https://doi.org/10.1175/JCLI-D-15-0075.1&lt;br /&gt;
* Mann, G. W., Dhomse, S., Deshler T., Timmreck, C, Schmidt A, Neely, R and Thomason, L. (2015): Evolving particle size is the key to improved volcanic forcings, Past Global Change, 23(2), 52-53, https://doi.org/10.22498/pages.23.2.52&lt;br /&gt;
* Planche C., J. H. Marsham, P. R. Field, K. S. Carslaw, A. A. Hill, G. W. Mann and B. J. Shipway (2015): Precipitation sensitivity to autoconversion rate in a numerical weather-prediction model, Q. J. Roy. Meteorol. Soc., vol. 141(691), 2032-2044,  https://doi.org/10.1002/qj.2497.&lt;br /&gt;
* Pope, R. J., M. P. Chipperfield, N. H. Savage, C. Ordóñez, L. S. Neal, L. A. Lee, S. S. Dhomse, N. A. D. Richards and T. D. Keslake (2015): Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions, Atmos. Chem. Phys., 15, 5611-5626, https://doi.org/10.5194/acp-15-5611-2015.&lt;br /&gt;
* Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. (2015): The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2, Atmos. Chem. Phys., 15, 11201-11215, https://doi.org/10.5194/acp-15-11201-2015.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, L. A. Lee, A. Rap, J. Browse, G. W. Mann, C. L. Reddington, K. S. Carslaw, B. B. B. Booth and M. T. Woodhouse (2015): The climatic importance of uncertainties in regional aerosol-cloud radiative forcings over recent decades,  &lt;br /&gt;
J. Climate, vol. 28(17), 6589-6607, http://doi.org/10.1175/JCLI-D-15-0127.1&lt;br /&gt;
* Scott, C. E., D. V. Spracklen, J. R. Pierce, I. Riipinen, S. D. D&#039;Andrea, A. Rap, K. S. Carslaw, P. M. Forster et al. (2015): &lt;br /&gt;
Impact of gas-to-particle partitioning approaches on the simulated radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 15, 12989-13001, https://doi.org/10.5194/acp-15-12989-2015.&lt;br /&gt;
* Turnock, S. T., D. V. Spracklen. K. S. Carslaw, G. W. Mann, M. T. Woodhouse, P. M. Forster, J. Haywood, C. E. Johnson et al. (2015): Modelled and observed changes in aerosols and surface solar radiation over Europe between 1960 and 2009, Atmos. Chem. Phys., 15, 9477-9500, https://doi.org/doi:10.5194/acp-15-9477-2015. &lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2013JD021097/abstract Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future] Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki, P. Braesicke, G. Di Genova, E.L. Fleming, S.C. Hardiman, D. Iachetti, C.H. Jackman, D.E. Kinnison, M. Marchand, G. Pitari, J.A. Pyle, E. Rozanov, A. Stenke and F. Tummon, J. Geophys. Res. Atmos., 119, 5, 2555-2573, doi:10.1002/2013JD021097, 2014.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2014GL062140/abstract Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases] O. Morgenstern, G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey, Geophys. Res. Lett., 41, 9050–9057, doi:10.1002/2014GL062140, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/13257/2014/acp-14-13257-2014.html First comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns] G.D. Hayman, F.M. O&#039;Connor, M. Dalvi, D.B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising, and J.P. Burrows, Atmos. Chem. Phys., 14, 13257-13280, 2014. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/11221/2014/acp-14-11221-2014.html Whole-atmosphere aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model] Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, P. Telford, P. Braesicke, M. Dalvi, C. E. Johnson, F. M. O&#039;Connor, O. Morgenstern, R. Hommel, and J. A. Pyle, Atmos. Chem. Phys., 14, 11221-11246, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/6369/2014/acp-14-6369-2014.html The importance of vertical velocity variability for estimates of the indirect aerosol effects] West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z., Atmos. Chem. Phys., 14, 6369-6393, doi:10.5194/acp-14-6369-2014, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/6035/2014/acp-14-6035-2014.html Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection] Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A., McGregor, J., Watson, I. M., Cox, R. A., and Kalberer, M., Atmos. Chem. Phys., 14, 6035-6048, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/1011/2014/acp-14-1011-2014.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys., 14, 1011-1024, doi:10.5194/acp-14-1011-2014, 2014.&lt;br /&gt;
* [http://www.geosci-model-dev.net/7/41/2014/gmd-7-41-2014.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, A. Voulgarakis, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev., 7, 41-91, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/3899/2014/acp-14-3899-2014.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model] Stock, Z. S., Russo, M. R., and Pyle, J. A., Atmos. Chem. Phys., 14, 3899-3912, doi:10.5194/acp-14-3899-2014, 2014.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006967 Application of a statistical post-processing technique to a gridded, operational, air quality forecast]. L.S. Neal, P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Atmospheric Environment, Volume 98, December 2014, Pages 385-393, ISSN 1352-2310, doi:10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014007353 Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Jeroen J.P. Kuenen, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 16 September 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006839 Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Hugo Denier van der Gon, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Kai Wang, Johannes Werhahn, Ralf Wolke, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 28 August 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014009807 Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2]. Dominik Brunner, Nicholas Savage, Oriol Jorba, Brian Eder, Lea Giordano, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bianconi, Charles Chemel, Gabriele Curci, Renate Forkel, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Ulas Im, Christoph Knote, Paul Makar, Astrid Manders-Groot, Erik van Meijgaard, Lucy Neal, Juan L. Pérez, Guido Pirovano, Roberto San Jose, Wolfram Schröder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Christian Hogrefe, Stefano Galmarini, Atmospheric Environment, Available online 15 December 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
&lt;br /&gt;
== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
&lt;br /&gt;
*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
&lt;br /&gt;
==2011==&lt;br /&gt;
&lt;br /&gt;
* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
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==2009==&lt;br /&gt;
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* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8520</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8520"/>
		<updated>2021-03-17T22:21:35Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2015 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen, R.J. et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne M., et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2019-1216/, Accepted, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T. et al. (2015): What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II, Atmos. Chem. Phys., 16, 2765-2783, http://doi.org/10.5194/acp-16-2221-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
* Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S. et al. (2016): On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, https://doi.org/10.5194/acp-16-2765-2016.&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* Breider, T. J., M. P. Chipperfield, G. W. Mann, M. T. Woodhouse and K. S. Carslaw (2015): Suppression of CCN formation by bromine chemistry in the remote marine atmosphere, Atmos. Sci. Lett.  16(2), 141-147, https://doi.org/10.1002/asl2.539&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, http://doi.org/10.1002/2014JD023009.&lt;br /&gt;
* Dhomse, S. S., M. P. Chipperfield, W. Feng, R. Hossaini, G. W. Mann and M. L. Santee (2015): Revisiting the hemispheric asymmetry in mid-latitude ozone changes following the Mount Pinatubo eruption: A 3-D model study, Geophys. Res. Lett., vol. 42(8), 3038-3047, https://doi.org/10.1002/2015GL063052.&lt;br /&gt;
* Giordano, L., D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel et al. (2015): Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2, Atmos. Env., vol. 115, 371-388, https://doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. (2015): Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi.org/10.5194/acp-15-7557-2015.&lt;br /&gt;
* Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners et al. (2015): Processes controlling tropical tropopause temperature and stratospheric water vapour, J. Climate, 28, 6516-6535, https://doi.org/10.1175/JCLI-D-15-0075.1&lt;br /&gt;
* Mann, G. W., Dhomse, S., Deshler T., Timmreck, C, Schmidt A, Neely, R and Thomason, L. (2015): Evolving particle size is the key to improved volcanic forcings, Past Global Change, 23(2), 52-53, https://doi.org/10.22498/pages.23.2.52&lt;br /&gt;
* Planche C., J. H. Marsham, P. R. Field, K. S. Carslaw, A. A. Hill, G. W. Mann and B. J. Shipway (2015): Precipitation sensitivity to autoconversion rate in a numerical weather-prediction model, Q. J. Roy. Meteorol. Soc., vol. 141(691), 2032-2044,  https://doi.org/10.1002/qj.2497.&lt;br /&gt;
* Pope, R. J., M. P. Chipperfield, N. H. Savage, C. Ordóñez, L. S. Neal, L. A. Lee, S. S. Dhomse, N. A. D. Richards and T. D. Keslake (2015): Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions, Atmos. Chem. Phys., 15, 5611-5626, https://doi.org/10.5194/acp-15-5611-2015.&lt;br /&gt;
* Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. (2015): The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2, Atmos. Chem. Phys., 15, 11201-11215, https://doi.org/10.5194/acp-15-11201-2015.&lt;br /&gt;
* Regayre, L. A., K. J. Pringle, L. A. Lee, A. Rap, J. Browse, G. W. Mann, C. L. Reddington, K. S. Carslaw, B. B. B. Booth and M. T. Woodhouse (2015): The climatic importance of uncertainties in regional aerosol-cloud radiative forcings over recent decades,  &lt;br /&gt;
J. Climate, vol. 28(17), 6589-6607, http://doi.org/10.1175/JCLI-D-15-0127.1&lt;br /&gt;
* Scott, C. E., D. V. Spracklen, J. R. Pierce, I. Riipinen, S. D. D&#039;Andrea, A. Rap, K. S. Carslaw, P. M. Forster et al. (2015): &lt;br /&gt;
Impact of gas-to-particle partitioning approaches on the simulated radiative effects of biogenic secondary organic aerosol, Atmos. Chem. Phys., 15, 12989-13001, https://doi.org/10.5194/acp-15-12989-2015.&lt;br /&gt;
* Turnock, S. T., D. V. Spracklen. K. S. Carslaw, G. W. Mann, M. T. Woodhouse, P. M. Forster, J. Haywood, C. E. Johnson et al. (2015): Modelled and observed changes in aerosols and surface solar radiation over Europe between 1960 and 2009, Atmos. Chem. Phys., 15, 9477-9500, https://doi.org/doi:10.5194/acp-15-9477-2015. &lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2013JD021097/abstract Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future] Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki, P. Braesicke, G. Di Genova, E.L. Fleming, S.C. Hardiman, D. Iachetti, C.H. Jackman, D.E. Kinnison, M. Marchand, G. Pitari, J.A. Pyle, E. Rozanov, A. Stenke and F. Tummon, J. Geophys. Res. Atmos., 119, 5, 2555-2573, doi:10.1002/2013JD021097, 2014.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2014GL062140/abstract Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases] O. Morgenstern, G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey, Geophys. Res. Lett., 41, 9050–9057, doi:10.1002/2014GL062140, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/13257/2014/acp-14-13257-2014.html First comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns] G.D. Hayman, F.M. O&#039;Connor, M. Dalvi, D.B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising, and J.P. Burrows, Atmos. Chem. Phys., 14, 13257-13280, 2014. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/11221/2014/acp-14-11221-2014.html Whole-atmosphere aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model] Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, P. Telford, P. Braesicke, M. Dalvi, C. E. Johnson, F. M. O&#039;Connor, O. Morgenstern, R. Hommel, and J. A. Pyle, Atmos. Chem. Phys., 14, 11221-11246, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/6369/2014/acp-14-6369-2014.html The importance of vertical velocity variability for estimates of the indirect aerosol effects] West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z., Atmos. Chem. Phys., 14, 6369-6393, doi:10.5194/acp-14-6369-2014, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/6035/2014/acp-14-6035-2014.html Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection] Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A., McGregor, J., Watson, I. M., Cox, R. A., and Kalberer, M., Atmos. Chem. Phys., 14, 6035-6048, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/1011/2014/acp-14-1011-2014.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys., 14, 1011-1024, doi:10.5194/acp-14-1011-2014, 2014.&lt;br /&gt;
* [http://www.geosci-model-dev.net/7/41/2014/gmd-7-41-2014.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, A. Voulgarakis, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev., 7, 41-91, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/3899/2014/acp-14-3899-2014.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model] Stock, Z. S., Russo, M. R., and Pyle, J. A., Atmos. Chem. Phys., 14, 3899-3912, doi:10.5194/acp-14-3899-2014, 2014.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006967 Application of a statistical post-processing technique to a gridded, operational, air quality forecast]. L.S. Neal, P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Atmospheric Environment, Volume 98, December 2014, Pages 385-393, ISSN 1352-2310, doi:10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014007353 Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Jeroen J.P. Kuenen, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 16 September 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006839 Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Hugo Denier van der Gon, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Kai Wang, Johannes Werhahn, Ralf Wolke, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 28 August 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014009807 Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2]. Dominik Brunner, Nicholas Savage, Oriol Jorba, Brian Eder, Lea Giordano, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bianconi, Charles Chemel, Gabriele Curci, Renate Forkel, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Ulas Im, Christoph Knote, Paul Makar, Astrid Manders-Groot, Erik van Meijgaard, Lucy Neal, Juan L. Pérez, Guido Pirovano, Roberto San Jose, Wolfram Schröder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Christian Hogrefe, Stefano Galmarini, Atmospheric Environment, Available online 15 December 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
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== 2012 ==&lt;br /&gt;
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* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
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* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
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* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
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*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
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* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
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==2011==&lt;br /&gt;
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* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
&lt;br /&gt;
==2009==&lt;br /&gt;
&lt;br /&gt;
* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8519</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8519"/>
		<updated>2021-03-17T21:57:44Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2016 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen, R.J. et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne M., et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2019-1216/, Accepted, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T. et al. (2015): What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II, Atmos. Chem. Phys., 16, 2765-2783, http://doi.org/10.5194/acp-16-2221-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
* Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S. et al. (2016): On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, https://doi.org/10.5194/acp-16-2765-2016.&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* Giordano, L., D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel et al. (2015): Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2, Atmos. Env., vol. 115, 371-388, http://dx.doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. (2015): Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi.org/10.5194/acp-15-7557-2015.&lt;br /&gt;
* Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners et al. (2015): Processes controlling tropical tropopause temperature and stratospheric water vapour, J. Climate, 28, 6516-6535, https://doi.org/10.1175/JCLI-D-15-0075.1&lt;br /&gt;
* Pope, R. J., Chipperfield, M. P., Savage, N. H., Ordóñez, C., Neal, L. S., Lee, L. A., Dhomse, S. S., Richards, N. A. D., and Keslake, T. D. (2015): Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions, Atmos. Chem. Phys., 15, 5611-5626, https://doi.org/10.5194/acp-15-5611-2015.&lt;br /&gt;
* Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. (2015): The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2, Atmos. Chem. Phys., 15, 11201-11215, https://doi.org/10.5194/acp-15-11201-2015.&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, doi:10.1002/2014JD023009.&lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2013JD021097/abstract Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future] Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki, P. Braesicke, G. Di Genova, E.L. Fleming, S.C. Hardiman, D. Iachetti, C.H. Jackman, D.E. Kinnison, M. Marchand, G. Pitari, J.A. Pyle, E. Rozanov, A. Stenke and F. Tummon, J. Geophys. Res. Atmos., 119, 5, 2555-2573, doi:10.1002/2013JD021097, 2014.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2014GL062140/abstract Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases] O. Morgenstern, G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey, Geophys. Res. Lett., 41, 9050–9057, doi:10.1002/2014GL062140, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/13257/2014/acp-14-13257-2014.html First comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns] G.D. Hayman, F.M. O&#039;Connor, M. Dalvi, D.B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising, and J.P. Burrows, Atmos. Chem. Phys., 14, 13257-13280, 2014. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/11221/2014/acp-14-11221-2014.html Whole-atmosphere aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model] Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, P. Telford, P. Braesicke, M. Dalvi, C. E. Johnson, F. M. O&#039;Connor, O. Morgenstern, R. Hommel, and J. A. Pyle, Atmos. Chem. Phys., 14, 11221-11246, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/6369/2014/acp-14-6369-2014.html The importance of vertical velocity variability for estimates of the indirect aerosol effects] West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z., Atmos. Chem. Phys., 14, 6369-6393, doi:10.5194/acp-14-6369-2014, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/6035/2014/acp-14-6035-2014.html Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection] Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A., McGregor, J., Watson, I. M., Cox, R. A., and Kalberer, M., Atmos. Chem. Phys., 14, 6035-6048, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/1011/2014/acp-14-1011-2014.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys., 14, 1011-1024, doi:10.5194/acp-14-1011-2014, 2014.&lt;br /&gt;
* [http://www.geosci-model-dev.net/7/41/2014/gmd-7-41-2014.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, A. Voulgarakis, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev., 7, 41-91, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/3899/2014/acp-14-3899-2014.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model] Stock, Z. S., Russo, M. R., and Pyle, J. A., Atmos. Chem. Phys., 14, 3899-3912, doi:10.5194/acp-14-3899-2014, 2014.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006967 Application of a statistical post-processing technique to a gridded, operational, air quality forecast]. L.S. Neal, P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Atmospheric Environment, Volume 98, December 2014, Pages 385-393, ISSN 1352-2310, doi:10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014007353 Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Jeroen J.P. Kuenen, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 16 September 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006839 Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Hugo Denier van der Gon, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Kai Wang, Johannes Werhahn, Ralf Wolke, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 28 August 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014009807 Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2]. Dominik Brunner, Nicholas Savage, Oriol Jorba, Brian Eder, Lea Giordano, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bianconi, Charles Chemel, Gabriele Curci, Renate Forkel, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Ulas Im, Christoph Knote, Paul Makar, Astrid Manders-Groot, Erik van Meijgaard, Lucy Neal, Juan L. Pérez, Guido Pirovano, Roberto San Jose, Wolfram Schröder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Christian Hogrefe, Stefano Galmarini, Atmospheric Environment, Available online 15 December 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
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== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
&lt;br /&gt;
*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
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==2011==&lt;br /&gt;
&lt;br /&gt;
* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
&lt;br /&gt;
==2009==&lt;br /&gt;
&lt;br /&gt;
* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8518</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8518"/>
		<updated>2021-03-17T21:56:57Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2015 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen, R.J. et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne M., et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2019-1216/, Accepted, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
* Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S. et al. (2016): On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, https://doi.org/10.5194/acp-16-2765-2016.&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* Giordano, L., D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel et al. (2015): Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2, Atmos. Env., vol. 115, 371-388, http://dx.doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. (2015): Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi.org/10.5194/acp-15-7557-2015.&lt;br /&gt;
* Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners et al. (2015): Processes controlling tropical tropopause temperature and stratospheric water vapour, J. Climate, 28, 6516-6535, https://doi.org/10.1175/JCLI-D-15-0075.1&lt;br /&gt;
* Pope, R. J., Chipperfield, M. P., Savage, N. H., Ordóñez, C., Neal, L. S., Lee, L. A., Dhomse, S. S., Richards, N. A. D., and Keslake, T. D. (2015): Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions, Atmos. Chem. Phys., 15, 5611-5626, https://doi.org/10.5194/acp-15-5611-2015.&lt;br /&gt;
* Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. (2015): The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2, Atmos. Chem. Phys., 15, 11201-11215, https://doi.org/10.5194/acp-15-11201-2015.&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, doi:10.1002/2014JD023009.&lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2013JD021097/abstract Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future] Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki, P. Braesicke, G. Di Genova, E.L. Fleming, S.C. Hardiman, D. Iachetti, C.H. Jackman, D.E. Kinnison, M. Marchand, G. Pitari, J.A. Pyle, E. Rozanov, A. Stenke and F. Tummon, J. Geophys. Res. Atmos., 119, 5, 2555-2573, doi:10.1002/2013JD021097, 2014.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2014GL062140/abstract Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases] O. Morgenstern, G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey, Geophys. Res. Lett., 41, 9050–9057, doi:10.1002/2014GL062140, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/13257/2014/acp-14-13257-2014.html First comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns] G.D. Hayman, F.M. O&#039;Connor, M. Dalvi, D.B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising, and J.P. Burrows, Atmos. Chem. Phys., 14, 13257-13280, 2014. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/11221/2014/acp-14-11221-2014.html Whole-atmosphere aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model] Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, P. Telford, P. Braesicke, M. Dalvi, C. E. Johnson, F. M. O&#039;Connor, O. Morgenstern, R. Hommel, and J. A. Pyle, Atmos. Chem. Phys., 14, 11221-11246, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/6369/2014/acp-14-6369-2014.html The importance of vertical velocity variability for estimates of the indirect aerosol effects] West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z., Atmos. Chem. Phys., 14, 6369-6393, doi:10.5194/acp-14-6369-2014, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/6035/2014/acp-14-6035-2014.html Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection] Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A., McGregor, J., Watson, I. M., Cox, R. A., and Kalberer, M., Atmos. Chem. Phys., 14, 6035-6048, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/1011/2014/acp-14-1011-2014.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys., 14, 1011-1024, doi:10.5194/acp-14-1011-2014, 2014.&lt;br /&gt;
* [http://www.geosci-model-dev.net/7/41/2014/gmd-7-41-2014.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, A. Voulgarakis, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev., 7, 41-91, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/3899/2014/acp-14-3899-2014.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model] Stock, Z. S., Russo, M. R., and Pyle, J. A., Atmos. Chem. Phys., 14, 3899-3912, doi:10.5194/acp-14-3899-2014, 2014.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006967 Application of a statistical post-processing technique to a gridded, operational, air quality forecast]. L.S. Neal, P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Atmospheric Environment, Volume 98, December 2014, Pages 385-393, ISSN 1352-2310, doi:10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014007353 Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Jeroen J.P. Kuenen, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 16 September 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006839 Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Hugo Denier van der Gon, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Kai Wang, Johannes Werhahn, Ralf Wolke, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 28 August 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014009807 Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2]. Dominik Brunner, Nicholas Savage, Oriol Jorba, Brian Eder, Lea Giordano, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bianconi, Charles Chemel, Gabriele Curci, Renate Forkel, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Ulas Im, Christoph Knote, Paul Makar, Astrid Manders-Groot, Erik van Meijgaard, Lucy Neal, Juan L. Pérez, Guido Pirovano, Roberto San Jose, Wolfram Schröder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Christian Hogrefe, Stefano Galmarini, Atmospheric Environment, Available online 15 December 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
&lt;br /&gt;
== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
&lt;br /&gt;
*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
&lt;br /&gt;
==2011==&lt;br /&gt;
&lt;br /&gt;
* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
&lt;br /&gt;
==2009==&lt;br /&gt;
&lt;br /&gt;
* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8517</id>
		<title>Publications</title>
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		<updated>2021-03-17T21:51:25Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2016 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen, R.J. et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne M., et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2019-1216/, Accepted, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
* Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S. et al. (2016): On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, https://doi.org/10.5194/acp-16-2765-2016.&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* Giordano, L., D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel et al. (2015): Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2, Atmos. Env., vol. 115, 371-388, http://dx.doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* Pope, R. J., Chipperfield, M. P., Savage, N. H., Ordóñez, C., Neal, L. S., Lee, L. A., Dhomse, S. S., Richards, N. A. D., and Keslake, T. D. (2015): Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions, Atmos. Chem. Phys., 15, 5611-5626, https://doi.org/10.5194/acp-15-5611-2015.&lt;br /&gt;
* Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners et al. (2015): Processes controlling tropical tropopause temperature and stratospheric water vapour, J. Climate, 28, 6516-6535, https://doi.org/10.1175/JCLI-D-15-0075.1&lt;br /&gt;
* Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. (2015): The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2, Atmos. Chem. Phys., 15, 11201-11215, https://doi.org/10.5194/acp-15-11201-2015.&lt;br /&gt;
* Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. (2015): Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi.org/10.5194/acp-15-7557-2015.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/15/25933/2015/acpd-15-25933-2015.html What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II]. Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T., Ghan, S. J., Iversen, T., Kirkevåg, A., Kokkola, H., Liu, X., Luo, G., van Noije, T., Pringle, K. J., von Salzen, K., Schulz, M., Seland, Ø., Skeie, R. B., Takemura, T., Tsigaridis, K., and Zhang, K. Atmos. Chem. Phys. Discuss., 15, 25933-25980, doi:10.5194/acpd-15-25933-2015, 2015.&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, doi:10.1002/2014JD023009.&lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2013JD021097/abstract Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future] Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki, P. Braesicke, G. Di Genova, E.L. Fleming, S.C. Hardiman, D. Iachetti, C.H. Jackman, D.E. Kinnison, M. Marchand, G. Pitari, J.A. Pyle, E. Rozanov, A. Stenke and F. Tummon, J. Geophys. Res. Atmos., 119, 5, 2555-2573, doi:10.1002/2013JD021097, 2014.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2014GL062140/abstract Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases] O. Morgenstern, G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey, Geophys. Res. Lett., 41, 9050–9057, doi:10.1002/2014GL062140, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/13257/2014/acp-14-13257-2014.html First comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns] G.D. Hayman, F.M. O&#039;Connor, M. Dalvi, D.B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising, and J.P. Burrows, Atmos. Chem. Phys., 14, 13257-13280, 2014. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/11221/2014/acp-14-11221-2014.html Whole-atmosphere aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model] Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, P. Telford, P. Braesicke, M. Dalvi, C. E. Johnson, F. M. O&#039;Connor, O. Morgenstern, R. Hommel, and J. A. Pyle, Atmos. Chem. Phys., 14, 11221-11246, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/6369/2014/acp-14-6369-2014.html The importance of vertical velocity variability for estimates of the indirect aerosol effects] West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z., Atmos. Chem. Phys., 14, 6369-6393, doi:10.5194/acp-14-6369-2014, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/6035/2014/acp-14-6035-2014.html Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection] Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A., McGregor, J., Watson, I. M., Cox, R. A., and Kalberer, M., Atmos. Chem. Phys., 14, 6035-6048, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/1011/2014/acp-14-1011-2014.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys., 14, 1011-1024, doi:10.5194/acp-14-1011-2014, 2014.&lt;br /&gt;
* [http://www.geosci-model-dev.net/7/41/2014/gmd-7-41-2014.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, A. Voulgarakis, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev., 7, 41-91, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/3899/2014/acp-14-3899-2014.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model] Stock, Z. S., Russo, M. R., and Pyle, J. A., Atmos. Chem. Phys., 14, 3899-3912, doi:10.5194/acp-14-3899-2014, 2014.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006967 Application of a statistical post-processing technique to a gridded, operational, air quality forecast]. L.S. Neal, P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Atmospheric Environment, Volume 98, December 2014, Pages 385-393, ISSN 1352-2310, doi:10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014007353 Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Jeroen J.P. Kuenen, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 16 September 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006839 Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Hugo Denier van der Gon, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Kai Wang, Johannes Werhahn, Ralf Wolke, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 28 August 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014009807 Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2]. Dominik Brunner, Nicholas Savage, Oriol Jorba, Brian Eder, Lea Giordano, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bianconi, Charles Chemel, Gabriele Curci, Renate Forkel, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Ulas Im, Christoph Knote, Paul Makar, Astrid Manders-Groot, Erik van Meijgaard, Lucy Neal, Juan L. Pérez, Guido Pirovano, Roberto San Jose, Wolfram Schröder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Christian Hogrefe, Stefano Galmarini, Atmospheric Environment, Available online 15 December 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
&lt;br /&gt;
== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
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*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
&lt;br /&gt;
==2011==&lt;br /&gt;
&lt;br /&gt;
* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
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==2009==&lt;br /&gt;
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* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
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==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8516</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8516"/>
		<updated>2021-03-17T21:50:38Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2015 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen, R.J. et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne M., et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2019-1216/, Accepted, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* Giordano, L., D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel et al. (2015): Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2, Atmos. Env., vol. 115, 371-388, http://dx.doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* Pope, R. J., Chipperfield, M. P., Savage, N. H., Ordóñez, C., Neal, L. S., Lee, L. A., Dhomse, S. S., Richards, N. A. D., and Keslake, T. D. (2015): Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions, Atmos. Chem. Phys., 15, 5611-5626, https://doi.org/10.5194/acp-15-5611-2015.&lt;br /&gt;
* Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners et al. (2015): Processes controlling tropical tropopause temperature and stratospheric water vapour, J. Climate, 28, 6516-6535, https://doi.org/10.1175/JCLI-D-15-0075.1&lt;br /&gt;
* Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. (2015): The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2, Atmos. Chem. Phys., 15, 11201-11215, https://doi.org/10.5194/acp-15-11201-2015.&lt;br /&gt;
* Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. (2015): Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi.org/10.5194/acp-15-7557-2015.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/15/25933/2015/acpd-15-25933-2015.html What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II]. Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T., Ghan, S. J., Iversen, T., Kirkevåg, A., Kokkola, H., Liu, X., Luo, G., van Noije, T., Pringle, K. J., von Salzen, K., Schulz, M., Seland, Ø., Skeie, R. B., Takemura, T., Tsigaridis, K., and Zhang, K. Atmos. Chem. Phys. Discuss., 15, 25933-25980, doi:10.5194/acpd-15-25933-2015, 2015.&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, doi:10.1002/2014JD023009.&lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2013JD021097/abstract Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future] Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki, P. Braesicke, G. Di Genova, E.L. Fleming, S.C. Hardiman, D. Iachetti, C.H. Jackman, D.E. Kinnison, M. Marchand, G. Pitari, J.A. Pyle, E. Rozanov, A. Stenke and F. Tummon, J. Geophys. Res. Atmos., 119, 5, 2555-2573, doi:10.1002/2013JD021097, 2014.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2014GL062140/abstract Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases] O. Morgenstern, G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey, Geophys. Res. Lett., 41, 9050–9057, doi:10.1002/2014GL062140, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/13257/2014/acp-14-13257-2014.html First comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns] G.D. Hayman, F.M. O&#039;Connor, M. Dalvi, D.B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising, and J.P. Burrows, Atmos. Chem. Phys., 14, 13257-13280, 2014. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/11221/2014/acp-14-11221-2014.html Whole-atmosphere aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model] Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, P. Telford, P. Braesicke, M. Dalvi, C. E. Johnson, F. M. O&#039;Connor, O. Morgenstern, R. Hommel, and J. A. Pyle, Atmos. Chem. Phys., 14, 11221-11246, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/6369/2014/acp-14-6369-2014.html The importance of vertical velocity variability for estimates of the indirect aerosol effects] West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z., Atmos. Chem. Phys., 14, 6369-6393, doi:10.5194/acp-14-6369-2014, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/6035/2014/acp-14-6035-2014.html Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection] Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A., McGregor, J., Watson, I. M., Cox, R. A., and Kalberer, M., Atmos. Chem. Phys., 14, 6035-6048, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/1011/2014/acp-14-1011-2014.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys., 14, 1011-1024, doi:10.5194/acp-14-1011-2014, 2014.&lt;br /&gt;
* [http://www.geosci-model-dev.net/7/41/2014/gmd-7-41-2014.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, A. Voulgarakis, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev., 7, 41-91, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/3899/2014/acp-14-3899-2014.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model] Stock, Z. S., Russo, M. R., and Pyle, J. A., Atmos. Chem. Phys., 14, 3899-3912, doi:10.5194/acp-14-3899-2014, 2014.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006967 Application of a statistical post-processing technique to a gridded, operational, air quality forecast]. L.S. Neal, P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Atmospheric Environment, Volume 98, December 2014, Pages 385-393, ISSN 1352-2310, doi:10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014007353 Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Jeroen J.P. Kuenen, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 16 September 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006839 Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Hugo Denier van der Gon, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Kai Wang, Johannes Werhahn, Ralf Wolke, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 28 August 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014009807 Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2]. Dominik Brunner, Nicholas Savage, Oriol Jorba, Brian Eder, Lea Giordano, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bianconi, Charles Chemel, Gabriele Curci, Renate Forkel, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Ulas Im, Christoph Knote, Paul Makar, Astrid Manders-Groot, Erik van Meijgaard, Lucy Neal, Juan L. Pérez, Guido Pirovano, Roberto San Jose, Wolfram Schröder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Christian Hogrefe, Stefano Galmarini, Atmospheric Environment, Available online 15 December 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
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== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
&lt;br /&gt;
*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
&lt;br /&gt;
==2011==&lt;br /&gt;
&lt;br /&gt;
* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
&lt;br /&gt;
==2009==&lt;br /&gt;
&lt;br /&gt;
* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8515</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8515"/>
		<updated>2021-03-17T21:32:51Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2017 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen, R.J. et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne M., et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2019-1216/, Accepted, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., vol. 12, no. 10, https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231015001533 Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2]. L. Giordano, D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel, G. Curci, R. Forkel, P. Jiménez-Guerrero, M. Hirtl, A. Hodzic, L. Honzak, O. Jorba, C. Knote, J.J.P. Kuenen, P.A. Makar, A. Manders-Groot, L. Neal, J.L. Pérez, G. Pirovano, G. Pouliot, R. San José, N. Savage, W. Schröder, R.S. Sokhi, D. Syrakov, A. Torian, P. Tuccella, J. Werhahn, R. Wolke, K. Yahya, R. Žabkar, Y. Zhang, S. Galmarini, Atmospheric Environment, Available online 12 February 2015, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/15/5611/2015/acp-15-5611-2015.html Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions]. Pope, R. J., Chipperfield, M. P., Savage, N. H., Ordóñez, C., Neal, L. S., Lee, L. A., Dhomse, S. S., Richards, N. A. D., and Keslake, T. D.  Atmos. Chem. Phys., 15, 5611-5626, doi:10.5194/acp-15-5611-2015, 2015.&lt;br /&gt;
* [http://journals.ametsoc.org/doi/full/10.1175/JCLI-D-15-0075.1 Processes controlling tropical tropopause temperature and stratospheric water vapour]. Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners, S. F. Milton, C. J. Morcrette, F. M. O&#039;Connor, B. J. Shipway, C. Smith, D. N. Walters, K. D. Williams, N. Wood, N. L. Abraham, J. M. Keeble, A. C. Maycock, J. Thurburn, and M. T. Woodhouse. J. Climate, 28, 6516-6535. doi: http://dx.doi.org/10.1175/JCLI-D-15-0075.1, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/15/11201/2015/acp-15-11201-2015.html The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2]. Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. Atmos. Chem. Phys., 15, 11201-11215, doi:10.5194/acp-15-11201-2015, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/15/7557/2015/acp-15-7557-2015.html Wet scavenging limits the detection of aerosol effects on precipitation]. Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. Atmos. Chem. Phys., 15, 7557-7570, doi:10.5194/acp-15-7557-2015, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/15/23683/2015/acpd-15-23683-2015.html On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models]. Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S., Takeamura, T., Gettelman, A., Morrison, H., Lee, Y. H., Shindell, D. T., Partridge, D. G., Stier, P., Kipling, Z., and Fu, C. Atmos. Chem. Phys. Discuss., 15, 23683-23729, doi:10.5194/acpd-15-23683-2015, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/15/25933/2015/acpd-15-25933-2015.html What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II]. Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T., Ghan, S. J., Iversen, T., Kirkevåg, A., Kokkola, H., Liu, X., Luo, G., van Noije, T., Pringle, K. J., von Salzen, K., Schulz, M., Seland, Ø., Skeie, R. B., Takemura, T., Tsigaridis, K., and Zhang, K. Atmos. Chem. Phys. Discuss., 15, 25933-25980, doi:10.5194/acpd-15-25933-2015, 2015.&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, doi:10.1002/2014JD023009.&lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2013JD021097/abstract Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future] Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki, P. Braesicke, G. Di Genova, E.L. Fleming, S.C. Hardiman, D. Iachetti, C.H. Jackman, D.E. Kinnison, M. Marchand, G. Pitari, J.A. Pyle, E. Rozanov, A. Stenke and F. Tummon, J. Geophys. Res. Atmos., 119, 5, 2555-2573, doi:10.1002/2013JD021097, 2014.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2014GL062140/abstract Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases] O. Morgenstern, G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey, Geophys. Res. Lett., 41, 9050–9057, doi:10.1002/2014GL062140, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/13257/2014/acp-14-13257-2014.html First comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns] G.D. Hayman, F.M. O&#039;Connor, M. Dalvi, D.B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising, and J.P. Burrows, Atmos. Chem. Phys., 14, 13257-13280, 2014. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/11221/2014/acp-14-11221-2014.html Whole-atmosphere aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model] Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, P. Telford, P. Braesicke, M. Dalvi, C. E. Johnson, F. M. O&#039;Connor, O. Morgenstern, R. Hommel, and J. A. Pyle, Atmos. Chem. Phys., 14, 11221-11246, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/6369/2014/acp-14-6369-2014.html The importance of vertical velocity variability for estimates of the indirect aerosol effects] West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z., Atmos. Chem. Phys., 14, 6369-6393, doi:10.5194/acp-14-6369-2014, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/6035/2014/acp-14-6035-2014.html Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection] Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A., McGregor, J., Watson, I. M., Cox, R. A., and Kalberer, M., Atmos. Chem. Phys., 14, 6035-6048, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/1011/2014/acp-14-1011-2014.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys., 14, 1011-1024, doi:10.5194/acp-14-1011-2014, 2014.&lt;br /&gt;
* [http://www.geosci-model-dev.net/7/41/2014/gmd-7-41-2014.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, A. Voulgarakis, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev., 7, 41-91, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/3899/2014/acp-14-3899-2014.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model] Stock, Z. S., Russo, M. R., and Pyle, J. A., Atmos. Chem. Phys., 14, 3899-3912, doi:10.5194/acp-14-3899-2014, 2014.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006967 Application of a statistical post-processing technique to a gridded, operational, air quality forecast]. L.S. Neal, P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Atmospheric Environment, Volume 98, December 2014, Pages 385-393, ISSN 1352-2310, doi:10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014007353 Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Jeroen J.P. Kuenen, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 16 September 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006839 Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Hugo Denier van der Gon, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Kai Wang, Johannes Werhahn, Ralf Wolke, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 28 August 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014009807 Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2]. Dominik Brunner, Nicholas Savage, Oriol Jorba, Brian Eder, Lea Giordano, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bianconi, Charles Chemel, Gabriele Curci, Renate Forkel, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Ulas Im, Christoph Knote, Paul Makar, Astrid Manders-Groot, Erik van Meijgaard, Lucy Neal, Juan L. Pérez, Guido Pirovano, Roberto San Jose, Wolfram Schröder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Christian Hogrefe, Stefano Galmarini, Atmospheric Environment, Available online 15 December 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
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== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
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*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
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==2011==&lt;br /&gt;
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* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
&lt;br /&gt;
==2009==&lt;br /&gt;
&lt;br /&gt;
* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8514</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8514"/>
		<updated>2021-03-17T21:31:48Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2017 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen, R.J. et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne M., et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2019-1216/, Accepted, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, 11,201–11,226 https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., 122, 11,112–11,130, https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231015001533 Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2]. L. Giordano, D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel, G. Curci, R. Forkel, P. Jiménez-Guerrero, M. Hirtl, A. Hodzic, L. Honzak, O. Jorba, C. Knote, J.J.P. Kuenen, P.A. Makar, A. Manders-Groot, L. Neal, J.L. Pérez, G. Pirovano, G. Pouliot, R. San José, N. Savage, W. Schröder, R.S. Sokhi, D. Syrakov, A. Torian, P. Tuccella, J. Werhahn, R. Wolke, K. Yahya, R. Žabkar, Y. Zhang, S. Galmarini, Atmospheric Environment, Available online 12 February 2015, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/15/5611/2015/acp-15-5611-2015.html Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions]. Pope, R. J., Chipperfield, M. P., Savage, N. H., Ordóñez, C., Neal, L. S., Lee, L. A., Dhomse, S. S., Richards, N. A. D., and Keslake, T. D.  Atmos. Chem. Phys., 15, 5611-5626, doi:10.5194/acp-15-5611-2015, 2015.&lt;br /&gt;
* [http://journals.ametsoc.org/doi/full/10.1175/JCLI-D-15-0075.1 Processes controlling tropical tropopause temperature and stratospheric water vapour]. Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners, S. F. Milton, C. J. Morcrette, F. M. O&#039;Connor, B. J. Shipway, C. Smith, D. N. Walters, K. D. Williams, N. Wood, N. L. Abraham, J. M. Keeble, A. C. Maycock, J. Thurburn, and M. T. Woodhouse. J. Climate, 28, 6516-6535. doi: http://dx.doi.org/10.1175/JCLI-D-15-0075.1, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/15/11201/2015/acp-15-11201-2015.html The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2]. Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. Atmos. Chem. Phys., 15, 11201-11215, doi:10.5194/acp-15-11201-2015, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/15/7557/2015/acp-15-7557-2015.html Wet scavenging limits the detection of aerosol effects on precipitation]. Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. Atmos. Chem. Phys., 15, 7557-7570, doi:10.5194/acp-15-7557-2015, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/15/23683/2015/acpd-15-23683-2015.html On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models]. Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S., Takeamura, T., Gettelman, A., Morrison, H., Lee, Y. H., Shindell, D. T., Partridge, D. G., Stier, P., Kipling, Z., and Fu, C. Atmos. Chem. Phys. Discuss., 15, 23683-23729, doi:10.5194/acpd-15-23683-2015, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/15/25933/2015/acpd-15-25933-2015.html What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II]. Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T., Ghan, S. J., Iversen, T., Kirkevåg, A., Kokkola, H., Liu, X., Luo, G., van Noije, T., Pringle, K. J., von Salzen, K., Schulz, M., Seland, Ø., Skeie, R. B., Takemura, T., Tsigaridis, K., and Zhang, K. Atmos. Chem. Phys. Discuss., 15, 25933-25980, doi:10.5194/acpd-15-25933-2015, 2015.&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, doi:10.1002/2014JD023009.&lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2013JD021097/abstract Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future] Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki, P. Braesicke, G. Di Genova, E.L. Fleming, S.C. Hardiman, D. Iachetti, C.H. Jackman, D.E. Kinnison, M. Marchand, G. Pitari, J.A. Pyle, E. Rozanov, A. Stenke and F. Tummon, J. Geophys. Res. Atmos., 119, 5, 2555-2573, doi:10.1002/2013JD021097, 2014.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2014GL062140/abstract Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases] O. Morgenstern, G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey, Geophys. Res. Lett., 41, 9050–9057, doi:10.1002/2014GL062140, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/13257/2014/acp-14-13257-2014.html First comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns] G.D. Hayman, F.M. O&#039;Connor, M. Dalvi, D.B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising, and J.P. Burrows, Atmos. Chem. Phys., 14, 13257-13280, 2014. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/11221/2014/acp-14-11221-2014.html Whole-atmosphere aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model] Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, P. Telford, P. Braesicke, M. Dalvi, C. E. Johnson, F. M. O&#039;Connor, O. Morgenstern, R. Hommel, and J. A. Pyle, Atmos. Chem. Phys., 14, 11221-11246, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/6369/2014/acp-14-6369-2014.html The importance of vertical velocity variability for estimates of the indirect aerosol effects] West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z., Atmos. Chem. Phys., 14, 6369-6393, doi:10.5194/acp-14-6369-2014, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/6035/2014/acp-14-6035-2014.html Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection] Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A., McGregor, J., Watson, I. M., Cox, R. A., and Kalberer, M., Atmos. Chem. Phys., 14, 6035-6048, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/1011/2014/acp-14-1011-2014.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys., 14, 1011-1024, doi:10.5194/acp-14-1011-2014, 2014.&lt;br /&gt;
* [http://www.geosci-model-dev.net/7/41/2014/gmd-7-41-2014.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, A. Voulgarakis, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev., 7, 41-91, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/3899/2014/acp-14-3899-2014.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model] Stock, Z. S., Russo, M. R., and Pyle, J. A., Atmos. Chem. Phys., 14, 3899-3912, doi:10.5194/acp-14-3899-2014, 2014.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006967 Application of a statistical post-processing technique to a gridded, operational, air quality forecast]. L.S. Neal, P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Atmospheric Environment, Volume 98, December 2014, Pages 385-393, ISSN 1352-2310, doi:10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014007353 Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Jeroen J.P. Kuenen, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 16 September 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006839 Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Hugo Denier van der Gon, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Kai Wang, Johannes Werhahn, Ralf Wolke, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 28 August 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014009807 Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2]. Dominik Brunner, Nicholas Savage, Oriol Jorba, Brian Eder, Lea Giordano, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bianconi, Charles Chemel, Gabriele Curci, Renate Forkel, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Ulas Im, Christoph Knote, Paul Makar, Astrid Manders-Groot, Erik van Meijgaard, Lucy Neal, Juan L. Pérez, Guido Pirovano, Roberto San Jose, Wolfram Schröder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Christian Hogrefe, Stefano Galmarini, Atmospheric Environment, Available online 15 December 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
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== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
&lt;br /&gt;
*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
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==2011==&lt;br /&gt;
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* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
&lt;br /&gt;
==2009==&lt;br /&gt;
&lt;br /&gt;
* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8513</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8513"/>
		<updated>2021-03-17T21:28:58Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2017 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen, R.J. et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne M., et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2019-1216/, Accepted, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D. C., J. M. Nicely, G. M. Wolfe, T. F. Hanisco, R. J. Salawitch, T. P. Canty et al. (2017): Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, https://doi.org/10.1002/2016JD026121.&lt;br /&gt;
* Brooke, J. S. A., Feng, W., Carillo-Sanchez, J. D., Mann, G. W., James, A. D., Bardeen, C. G. et al. (2017): Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., https://doi.org/10.1002/2017JD027143. &lt;br /&gt;
* Butt, E. W., S. T. Turnock, R. Rigby, C. L. Reddington, M. Yoshioka, J. S. Johnson, L. A. Regayre et al. (2017): Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., https://doi.org/10.1088/1748-9326/aa87be.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O. (2017): The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, https://doi.org/10.5194/acp-17-14075-2017.&lt;br /&gt;
* Hardiman, S. C., Butchart, N., O&#039;Connor, F. M. and Rumbold, S. (2017): The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, Geosci. Model Dev., 10, 1209-1232, https://doi.org/10.5194/gmd-10-1209-2017.&lt;br /&gt;
* Hopcroft, P. O., P. J. Valdes, F. M. O&#039;Connor, Kaplan, J. O. and Beerling, D. J. (2017): Understanding the glacial atmospheric methane cycle, 8, 14383, https://doi.org/10.1038/ncomms14383.&lt;br /&gt;
* Liang, Q., M. P. Chipperfield, E. L. Fleming, N. L. Abraham, P. Braesicke, J. B. Burkholder et al. (2017): Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, https://doi.org/10.1002/2017JD026926.&lt;br /&gt;
* Malavelle, F. F., J. M. Haywood, A. Jones, A. Gettelman, L. Clarisse, S. Bauduin, R. P. Allen et al. (2017): Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, 546, 485-491, https://doi.org/10.1038/nature22974.&lt;br /&gt;
* Morgenstern, O., M. I. Hegglin, E. Rozanov, F. M. O&#039;Connor, N. L. Abraham, H. Akiyoshi, A. T. Archibald, S. Bekki et al. (2017): Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639-671, https://doi.org/10.5194/gmd-10-639-2017.&lt;br /&gt;
* Pannullo, F., D. Lee, L. Neal, M. Dalvi, P. Agnew, F. M. O&#039;Connor, S. Mukhopadhyay, S. Sahu and C. Sarran (2017): Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, Environ. Health, vol. 16, no. 19 https://doi.org/10.1186/s12940-017-0237-1.&lt;br /&gt;
* Planche, C., G. W. Mann, K. S. Carslaw, M. Dalvi, J. H. Marsham and P. R. Field (2017): Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., 17, 3371-3384,  https://doi.org/10.5194/acp-17-3371-2017.&lt;br /&gt;
* Reddington, C., K. S. Carslaw, P. Stier, N. Schutgens, H. Coe, D. Liu, J. Allan, J. Browse, K. J. Pringle, L. A. Lee et al. (2017): The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., 98, 1857-1877, https://doi.org/10.1175/BAMS-D-15-00317.1.&lt;br /&gt;
* Son, S.-W., B.-R. Han, C. I. Garfinkel, S.-Y. Kim, R. Park, N. L. Abraham, H. Akiyoshi, A. T. Archibald et al. (2017): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024, https://doi.org/10.1088/1748-9326/aabf21.&lt;br /&gt;
* Zhang, J., W. Tian, F. Xie, M. P. Chipperfield, W. Feng, S.-W. Son, N. L. Abraham, A. T. Archibald, S. Bekki et al. (2017): Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Comms., 9, 206, https://doi.org/10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., O. Morgenstern, H. Shiona, A. J. Thomas, R. R. Querel and S. E. Nichol (2017): Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, https://doi.org/10.5194/acp-17-10495-2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231015001533 Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2]. L. Giordano, D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel, G. Curci, R. Forkel, P. Jiménez-Guerrero, M. Hirtl, A. Hodzic, L. Honzak, O. Jorba, C. Knote, J.J.P. Kuenen, P.A. Makar, A. Manders-Groot, L. Neal, J.L. Pérez, G. Pirovano, G. Pouliot, R. San José, N. Savage, W. Schröder, R.S. Sokhi, D. Syrakov, A. Torian, P. Tuccella, J. Werhahn, R. Wolke, K. Yahya, R. Žabkar, Y. Zhang, S. Galmarini, Atmospheric Environment, Available online 12 February 2015, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/15/5611/2015/acp-15-5611-2015.html Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions]. Pope, R. J., Chipperfield, M. P., Savage, N. H., Ordóñez, C., Neal, L. S., Lee, L. A., Dhomse, S. S., Richards, N. A. D., and Keslake, T. D.  Atmos. Chem. Phys., 15, 5611-5626, doi:10.5194/acp-15-5611-2015, 2015.&lt;br /&gt;
* [http://journals.ametsoc.org/doi/full/10.1175/JCLI-D-15-0075.1 Processes controlling tropical tropopause temperature and stratospheric water vapour]. Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners, S. F. Milton, C. J. Morcrette, F. M. O&#039;Connor, B. J. Shipway, C. Smith, D. N. Walters, K. D. Williams, N. Wood, N. L. Abraham, J. M. Keeble, A. C. Maycock, J. Thurburn, and M. T. Woodhouse. J. Climate, 28, 6516-6535. doi: http://dx.doi.org/10.1175/JCLI-D-15-0075.1, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/15/11201/2015/acp-15-11201-2015.html The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2]. Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. Atmos. Chem. Phys., 15, 11201-11215, doi:10.5194/acp-15-11201-2015, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/15/7557/2015/acp-15-7557-2015.html Wet scavenging limits the detection of aerosol effects on precipitation]. Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. Atmos. Chem. Phys., 15, 7557-7570, doi:10.5194/acp-15-7557-2015, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/15/23683/2015/acpd-15-23683-2015.html On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models]. Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S., Takeamura, T., Gettelman, A., Morrison, H., Lee, Y. H., Shindell, D. T., Partridge, D. G., Stier, P., Kipling, Z., and Fu, C. Atmos. Chem. Phys. Discuss., 15, 23683-23729, doi:10.5194/acpd-15-23683-2015, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/15/25933/2015/acpd-15-25933-2015.html What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II]. Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T., Ghan, S. J., Iversen, T., Kirkevåg, A., Kokkola, H., Liu, X., Luo, G., van Noije, T., Pringle, K. J., von Salzen, K., Schulz, M., Seland, Ø., Skeie, R. B., Takemura, T., Tsigaridis, K., and Zhang, K. Atmos. Chem. Phys. Discuss., 15, 25933-25980, doi:10.5194/acpd-15-25933-2015, 2015.&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, doi:10.1002/2014JD023009.&lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2013JD021097/abstract Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future] Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki, P. Braesicke, G. Di Genova, E.L. Fleming, S.C. Hardiman, D. Iachetti, C.H. Jackman, D.E. Kinnison, M. Marchand, G. Pitari, J.A. Pyle, E. Rozanov, A. Stenke and F. Tummon, J. Geophys. Res. Atmos., 119, 5, 2555-2573, doi:10.1002/2013JD021097, 2014.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2014GL062140/abstract Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases] O. Morgenstern, G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey, Geophys. Res. Lett., 41, 9050–9057, doi:10.1002/2014GL062140, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/13257/2014/acp-14-13257-2014.html First comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns] G.D. Hayman, F.M. O&#039;Connor, M. Dalvi, D.B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising, and J.P. Burrows, Atmos. Chem. Phys., 14, 13257-13280, 2014. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/11221/2014/acp-14-11221-2014.html Whole-atmosphere aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model] Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, P. Telford, P. Braesicke, M. Dalvi, C. E. Johnson, F. M. O&#039;Connor, O. Morgenstern, R. Hommel, and J. A. Pyle, Atmos. Chem. Phys., 14, 11221-11246, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/6369/2014/acp-14-6369-2014.html The importance of vertical velocity variability for estimates of the indirect aerosol effects] West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z., Atmos. Chem. Phys., 14, 6369-6393, doi:10.5194/acp-14-6369-2014, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/6035/2014/acp-14-6035-2014.html Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection] Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A., McGregor, J., Watson, I. M., Cox, R. A., and Kalberer, M., Atmos. Chem. Phys., 14, 6035-6048, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/1011/2014/acp-14-1011-2014.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys., 14, 1011-1024, doi:10.5194/acp-14-1011-2014, 2014.&lt;br /&gt;
* [http://www.geosci-model-dev.net/7/41/2014/gmd-7-41-2014.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, A. Voulgarakis, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev., 7, 41-91, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/3899/2014/acp-14-3899-2014.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model] Stock, Z. S., Russo, M. R., and Pyle, J. A., Atmos. Chem. Phys., 14, 3899-3912, doi:10.5194/acp-14-3899-2014, 2014.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006967 Application of a statistical post-processing technique to a gridded, operational, air quality forecast]. L.S. Neal, P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Atmospheric Environment, Volume 98, December 2014, Pages 385-393, ISSN 1352-2310, doi:10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014007353 Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Jeroen J.P. Kuenen, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 16 September 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006839 Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Hugo Denier van der Gon, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Kai Wang, Johannes Werhahn, Ralf Wolke, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 28 August 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014009807 Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2]. Dominik Brunner, Nicholas Savage, Oriol Jorba, Brian Eder, Lea Giordano, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bianconi, Charles Chemel, Gabriele Curci, Renate Forkel, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Ulas Im, Christoph Knote, Paul Makar, Astrid Manders-Groot, Erik van Meijgaard, Lucy Neal, Juan L. Pérez, Guido Pirovano, Roberto San Jose, Wolfram Schröder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Christian Hogrefe, Stefano Galmarini, Atmospheric Environment, Available online 15 December 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
&lt;br /&gt;
== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
&lt;br /&gt;
*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
&lt;br /&gt;
==2011==&lt;br /&gt;
&lt;br /&gt;
* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
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==2009==&lt;br /&gt;
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* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
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==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8512</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8512"/>
		<updated>2021-03-17T20:51:59Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2016 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen, R.J. et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne M., et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2019-1216/, Accepted, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D., and 37 others (2017), Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, doi:10.1002/2016JD026121.&lt;br /&gt;
* Brooke et al., Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017JD027143, 2017. &lt;br /&gt;
* Butt et al., Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/aa87be, 2017.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O.: The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, doi:10.5194/acp-17-14075-2017, 2017.&lt;br /&gt;
* Hardiman et al., The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, [http://www.geosci-model-dev.net/10/1209/2017/ Geosci. Model Dev.], 10, 1209-1232, 2017.&lt;br /&gt;
* Hopcroft et al., Understanding the glacial atmospheric methane cycle, [http://www.nature.com/articles/ncomms14383 Nature Comms.], 8, 14383, doi:10.1038/ncomms14383, 2017.&lt;br /&gt;
* Liang, Q., and 27 others (2017), Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, doi:10.1002/2017JD026926.&lt;br /&gt;
* Malavelle et al., Evidence cloud liquid water path is invariant in Aerosol-Cloud Interactions, [http://www.nature.com/nature/journal/v546/n7659/full/nature22974.html Nature], 546, 485-491, 2017.&lt;br /&gt;
* Morgenstern, O., and 37 others (2017), Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), [http://www.geosci-model-dev.net/10/639/2017/ Geosci. Model Dev.], 10, 639-671, 2017.&lt;br /&gt;
* Pannullo et al., Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, [http://ehjournal.biomedcentral.com/articles/10.1186/s12940-017-0237-1 Environ. Health], DOI:10.1186/s12940-017-0237-1, 2017.&lt;br /&gt;
* Planche et al., Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., https://acp.copernicus.org/articles/17/3371/2017/, 2017.&lt;br /&gt;
* Reddington et al., The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., https://journals.ametsoc.org/downloadpdf/journals/clim/28/17/jcli-d-15-0127.1.xml, 2017.&lt;br /&gt;
* Son, S.-W., and 28 others (2017), Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024.&lt;br /&gt;
* Zhang, J., and 25 others (2017), Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Communications, 9, 206, doi:10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., Morgenstern, O., Shiona, H., Thomas, A. J., Querel, R. R., and Nichol, S. E.: Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, doi:10.5194/acp-17-10495-2017, 2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, https://doi.org/10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, https://doi.org/10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, https://doi.org/10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, https://doi.org/10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, https://doi.org/10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11,  https://doi.org/10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, https://doi.org/10.5194/gmd-9-2701-2016&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231015001533 Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2]. L. Giordano, D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel, G. Curci, R. Forkel, P. Jiménez-Guerrero, M. Hirtl, A. Hodzic, L. Honzak, O. Jorba, C. Knote, J.J.P. Kuenen, P.A. Makar, A. Manders-Groot, L. Neal, J.L. Pérez, G. Pirovano, G. Pouliot, R. San José, N. Savage, W. Schröder, R.S. Sokhi, D. Syrakov, A. Torian, P. Tuccella, J. Werhahn, R. Wolke, K. Yahya, R. Žabkar, Y. Zhang, S. Galmarini, Atmospheric Environment, Available online 12 February 2015, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/15/5611/2015/acp-15-5611-2015.html Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions]. Pope, R. J., Chipperfield, M. P., Savage, N. H., Ordóñez, C., Neal, L. S., Lee, L. A., Dhomse, S. S., Richards, N. A. D., and Keslake, T. D.  Atmos. Chem. Phys., 15, 5611-5626, doi:10.5194/acp-15-5611-2015, 2015.&lt;br /&gt;
* [http://journals.ametsoc.org/doi/full/10.1175/JCLI-D-15-0075.1 Processes controlling tropical tropopause temperature and stratospheric water vapour]. Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners, S. F. Milton, C. J. Morcrette, F. M. O&#039;Connor, B. J. Shipway, C. Smith, D. N. Walters, K. D. Williams, N. Wood, N. L. Abraham, J. M. Keeble, A. C. Maycock, J. Thurburn, and M. T. Woodhouse. J. Climate, 28, 6516-6535. doi: http://dx.doi.org/10.1175/JCLI-D-15-0075.1, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/15/11201/2015/acp-15-11201-2015.html The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2]. Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. Atmos. Chem. Phys., 15, 11201-11215, doi:10.5194/acp-15-11201-2015, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/15/7557/2015/acp-15-7557-2015.html Wet scavenging limits the detection of aerosol effects on precipitation]. Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. Atmos. Chem. Phys., 15, 7557-7570, doi:10.5194/acp-15-7557-2015, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/15/23683/2015/acpd-15-23683-2015.html On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models]. Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S., Takeamura, T., Gettelman, A., Morrison, H., Lee, Y. H., Shindell, D. T., Partridge, D. G., Stier, P., Kipling, Z., and Fu, C. Atmos. Chem. Phys. Discuss., 15, 23683-23729, doi:10.5194/acpd-15-23683-2015, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/15/25933/2015/acpd-15-25933-2015.html What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II]. Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T., Ghan, S. J., Iversen, T., Kirkevåg, A., Kokkola, H., Liu, X., Luo, G., van Noije, T., Pringle, K. J., von Salzen, K., Schulz, M., Seland, Ø., Skeie, R. B., Takemura, T., Tsigaridis, K., and Zhang, K. Atmos. Chem. Phys. Discuss., 15, 25933-25980, doi:10.5194/acpd-15-25933-2015, 2015.&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, doi:10.1002/2014JD023009.&lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2013JD021097/abstract Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future] Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki, P. Braesicke, G. Di Genova, E.L. Fleming, S.C. Hardiman, D. Iachetti, C.H. Jackman, D.E. Kinnison, M. Marchand, G. Pitari, J.A. Pyle, E. Rozanov, A. Stenke and F. Tummon, J. Geophys. Res. Atmos., 119, 5, 2555-2573, doi:10.1002/2013JD021097, 2014.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2014GL062140/abstract Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases] O. Morgenstern, G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey, Geophys. Res. Lett., 41, 9050–9057, doi:10.1002/2014GL062140, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/13257/2014/acp-14-13257-2014.html First comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns] G.D. Hayman, F.M. O&#039;Connor, M. Dalvi, D.B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising, and J.P. Burrows, Atmos. Chem. Phys., 14, 13257-13280, 2014. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/11221/2014/acp-14-11221-2014.html Whole-atmosphere aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model] Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, P. Telford, P. Braesicke, M. Dalvi, C. E. Johnson, F. M. O&#039;Connor, O. Morgenstern, R. Hommel, and J. A. Pyle, Atmos. Chem. Phys., 14, 11221-11246, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/6369/2014/acp-14-6369-2014.html The importance of vertical velocity variability for estimates of the indirect aerosol effects] West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z., Atmos. Chem. Phys., 14, 6369-6393, doi:10.5194/acp-14-6369-2014, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/6035/2014/acp-14-6035-2014.html Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection] Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A., McGregor, J., Watson, I. M., Cox, R. A., and Kalberer, M., Atmos. Chem. Phys., 14, 6035-6048, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/1011/2014/acp-14-1011-2014.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys., 14, 1011-1024, doi:10.5194/acp-14-1011-2014, 2014.&lt;br /&gt;
* [http://www.geosci-model-dev.net/7/41/2014/gmd-7-41-2014.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, A. Voulgarakis, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev., 7, 41-91, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/3899/2014/acp-14-3899-2014.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model] Stock, Z. S., Russo, M. R., and Pyle, J. A., Atmos. Chem. Phys., 14, 3899-3912, doi:10.5194/acp-14-3899-2014, 2014.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006967 Application of a statistical post-processing technique to a gridded, operational, air quality forecast]. L.S. Neal, P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Atmospheric Environment, Volume 98, December 2014, Pages 385-393, ISSN 1352-2310, doi:10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014007353 Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Jeroen J.P. Kuenen, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 16 September 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006839 Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Hugo Denier van der Gon, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Kai Wang, Johannes Werhahn, Ralf Wolke, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 28 August 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014009807 Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2]. Dominik Brunner, Nicholas Savage, Oriol Jorba, Brian Eder, Lea Giordano, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bianconi, Charles Chemel, Gabriele Curci, Renate Forkel, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Ulas Im, Christoph Knote, Paul Makar, Astrid Manders-Groot, Erik van Meijgaard, Lucy Neal, Juan L. Pérez, Guido Pirovano, Roberto San Jose, Wolfram Schröder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Christian Hogrefe, Stefano Galmarini, Atmospheric Environment, Available online 15 December 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
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== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
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*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
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* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
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==2011==&lt;br /&gt;
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* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
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==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
&lt;br /&gt;
==2009==&lt;br /&gt;
&lt;br /&gt;
* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8511</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8511"/>
		<updated>2021-03-17T19:29:04Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2016 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen, R.J. et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne M., et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2019-1216/, Accepted, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
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== 2017 ==&lt;br /&gt;
* Anderson, D., and 37 others (2017), Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, doi:10.1002/2016JD026121.&lt;br /&gt;
* Brooke et al., Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017JD027143, 2017. &lt;br /&gt;
* Butt et al., Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/aa87be, 2017.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O.: The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, doi:10.5194/acp-17-14075-2017, 2017.&lt;br /&gt;
* Hardiman et al., The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, [http://www.geosci-model-dev.net/10/1209/2017/ Geosci. Model Dev.], 10, 1209-1232, 2017.&lt;br /&gt;
* Hopcroft et al., Understanding the glacial atmospheric methane cycle, [http://www.nature.com/articles/ncomms14383 Nature Comms.], 8, 14383, doi:10.1038/ncomms14383, 2017.&lt;br /&gt;
* Liang, Q., and 27 others (2017), Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, doi:10.1002/2017JD026926.&lt;br /&gt;
* Malavelle et al., Evidence cloud liquid water path is invariant in Aerosol-Cloud Interactions, [http://www.nature.com/nature/journal/v546/n7659/full/nature22974.html Nature], 546, 485-491, 2017.&lt;br /&gt;
* Morgenstern, O., and 37 others (2017), Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), [http://www.geosci-model-dev.net/10/639/2017/ Geosci. Model Dev.], 10, 639-671, 2017.&lt;br /&gt;
* Pannullo et al., Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, [http://ehjournal.biomedcentral.com/articles/10.1186/s12940-017-0237-1 Environ. Health], DOI:10.1186/s12940-017-0237-1, 2017.&lt;br /&gt;
* Planche et al., Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., https://acp.copernicus.org/articles/17/3371/2017/, 2017.&lt;br /&gt;
* Reddington et al., The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., https://journals.ametsoc.org/downloadpdf/journals/clim/28/17/jcli-d-15-0127.1.xml, 2017.&lt;br /&gt;
* Son, S.-W., and 28 others (2017), Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024.&lt;br /&gt;
* Zhang, J., and 25 others (2017), Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Communications, 9, 206, doi:10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., Morgenstern, O., Shiona, H., Thomas, A. J., Querel, R. R., and Nichol, S. E.: Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, doi:10.5194/acp-17-10495-2017, 2017.&lt;br /&gt;
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== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016): Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, doi:10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016): Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016): The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, doi:10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016): Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, doi:10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016):  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016): Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016): Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, doi:10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, doi:10.1002/2015GL067545.&lt;br /&gt;
* Schmidt A., R. A. Skeffington, T. Thordarson, S. Self, P. M. Forster, A. Rap, A. Ridgwell, D. Fowler, B. M. Wilson, G. W. Mann, P. B. Wignall and K. S. Carslaw (2016): Selective environmental stress from sulphur emitted by continental flood basalt eruptions, Nature Geoscience, vol. 9, 77-82, doi:10.1038/NGEO2588. &lt;br /&gt;
* Stone, K. A., O. Morgenstern, D. J. Karoly, A. R. Klekociuk, W. J. French, N. L. Abraham, and R. Schofield (2016): Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016.&lt;br /&gt;
* Turnock, S. T., E. W. Butt, T. B. Richardson, G. W. Mann, C. L. Reddington, P. M. Forster, J. Haywood et al. (2016): The impact of European legislative and technology measures to reduce air pollutants on air quality, human health and climate, Env. Res. Lett., 11, doi:10.1088/1748-9326/11/2/024010.&lt;br /&gt;
* Zanchettin, D., M. Khodri, C. Timmreck, M. Toohey, A. Schmidt, E. P. Gerber, G. Hegerl, A. Robock et al. (2016): The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6, Geosci. Mod. Dev., 9, 2701-2719, doi:10.5194/gmd-9-2701-2016&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231015001533 Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2]. L. Giordano, D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel, G. Curci, R. Forkel, P. Jiménez-Guerrero, M. Hirtl, A. Hodzic, L. Honzak, O. Jorba, C. Knote, J.J.P. Kuenen, P.A. Makar, A. Manders-Groot, L. Neal, J.L. Pérez, G. Pirovano, G. Pouliot, R. San José, N. Savage, W. Schröder, R.S. Sokhi, D. Syrakov, A. Torian, P. Tuccella, J. Werhahn, R. Wolke, K. Yahya, R. Žabkar, Y. Zhang, S. Galmarini, Atmospheric Environment, Available online 12 February 2015, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/15/5611/2015/acp-15-5611-2015.html Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions]. Pope, R. J., Chipperfield, M. P., Savage, N. H., Ordóñez, C., Neal, L. S., Lee, L. A., Dhomse, S. S., Richards, N. A. D., and Keslake, T. D.  Atmos. Chem. Phys., 15, 5611-5626, doi:10.5194/acp-15-5611-2015, 2015.&lt;br /&gt;
* [http://journals.ametsoc.org/doi/full/10.1175/JCLI-D-15-0075.1 Processes controlling tropical tropopause temperature and stratospheric water vapour]. Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners, S. F. Milton, C. J. Morcrette, F. M. O&#039;Connor, B. J. Shipway, C. Smith, D. N. Walters, K. D. Williams, N. Wood, N. L. Abraham, J. M. Keeble, A. C. Maycock, J. Thurburn, and M. T. Woodhouse. J. Climate, 28, 6516-6535. doi: http://dx.doi.org/10.1175/JCLI-D-15-0075.1, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/15/11201/2015/acp-15-11201-2015.html The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2]. Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. Atmos. Chem. Phys., 15, 11201-11215, doi:10.5194/acp-15-11201-2015, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/15/7557/2015/acp-15-7557-2015.html Wet scavenging limits the detection of aerosol effects on precipitation]. Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. Atmos. Chem. Phys., 15, 7557-7570, doi:10.5194/acp-15-7557-2015, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/15/23683/2015/acpd-15-23683-2015.html On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models]. Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S., Takeamura, T., Gettelman, A., Morrison, H., Lee, Y. H., Shindell, D. T., Partridge, D. G., Stier, P., Kipling, Z., and Fu, C. Atmos. Chem. Phys. Discuss., 15, 23683-23729, doi:10.5194/acpd-15-23683-2015, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/15/25933/2015/acpd-15-25933-2015.html What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II]. Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T., Ghan, S. J., Iversen, T., Kirkevåg, A., Kokkola, H., Liu, X., Luo, G., van Noije, T., Pringle, K. J., von Salzen, K., Schulz, M., Seland, Ø., Skeie, R. B., Takemura, T., Tsigaridis, K., and Zhang, K. Atmos. Chem. Phys. Discuss., 15, 25933-25980, doi:10.5194/acpd-15-25933-2015, 2015.&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, doi:10.1002/2014JD023009.&lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2013JD021097/abstract Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future] Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki, P. Braesicke, G. Di Genova, E.L. Fleming, S.C. Hardiman, D. Iachetti, C.H. Jackman, D.E. Kinnison, M. Marchand, G. Pitari, J.A. Pyle, E. Rozanov, A. Stenke and F. Tummon, J. Geophys. Res. Atmos., 119, 5, 2555-2573, doi:10.1002/2013JD021097, 2014.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2014GL062140/abstract Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases] O. Morgenstern, G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey, Geophys. Res. Lett., 41, 9050–9057, doi:10.1002/2014GL062140, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/13257/2014/acp-14-13257-2014.html First comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns] G.D. Hayman, F.M. O&#039;Connor, M. Dalvi, D.B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising, and J.P. Burrows, Atmos. Chem. Phys., 14, 13257-13280, 2014. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/11221/2014/acp-14-11221-2014.html Whole-atmosphere aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model] Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, P. Telford, P. Braesicke, M. Dalvi, C. E. Johnson, F. M. O&#039;Connor, O. Morgenstern, R. Hommel, and J. A. Pyle, Atmos. Chem. Phys., 14, 11221-11246, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/6369/2014/acp-14-6369-2014.html The importance of vertical velocity variability for estimates of the indirect aerosol effects] West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z., Atmos. Chem. Phys., 14, 6369-6393, doi:10.5194/acp-14-6369-2014, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/6035/2014/acp-14-6035-2014.html Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection] Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A., McGregor, J., Watson, I. M., Cox, R. A., and Kalberer, M., Atmos. Chem. Phys., 14, 6035-6048, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/1011/2014/acp-14-1011-2014.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys., 14, 1011-1024, doi:10.5194/acp-14-1011-2014, 2014.&lt;br /&gt;
* [http://www.geosci-model-dev.net/7/41/2014/gmd-7-41-2014.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, A. Voulgarakis, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev., 7, 41-91, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/3899/2014/acp-14-3899-2014.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model] Stock, Z. S., Russo, M. R., and Pyle, J. A., Atmos. Chem. Phys., 14, 3899-3912, doi:10.5194/acp-14-3899-2014, 2014.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006967 Application of a statistical post-processing technique to a gridded, operational, air quality forecast]. L.S. Neal, P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Atmospheric Environment, Volume 98, December 2014, Pages 385-393, ISSN 1352-2310, doi:10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014007353 Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Jeroen J.P. Kuenen, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 16 September 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006839 Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Hugo Denier van der Gon, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Kai Wang, Johannes Werhahn, Ralf Wolke, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 28 August 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014009807 Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2]. Dominik Brunner, Nicholas Savage, Oriol Jorba, Brian Eder, Lea Giordano, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bianconi, Charles Chemel, Gabriele Curci, Renate Forkel, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Ulas Im, Christoph Knote, Paul Makar, Astrid Manders-Groot, Erik van Meijgaard, Lucy Neal, Juan L. Pérez, Guido Pirovano, Roberto San Jose, Wolfram Schröder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Christian Hogrefe, Stefano Galmarini, Atmospheric Environment, Available online 15 December 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
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== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
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*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
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==2011==&lt;br /&gt;
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* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
&lt;br /&gt;
==2009==&lt;br /&gt;
&lt;br /&gt;
* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8510</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=Publications&amp;diff=8510"/>
		<updated>2021-03-17T19:14:10Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* 2016 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==List of UKCA Publications==  	&lt;br /&gt;
&lt;br /&gt;
Here is a list of Publications (by year) which use the UKCA Model:&lt;br /&gt;
&lt;br /&gt;
== 2021 ==&lt;br /&gt;
&lt;br /&gt;
* Allen, R.J. et al., Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions, Env. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/abe06b, 2021.&lt;br /&gt;
* Clyne M., et al., Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3317/2021/, 2021.&lt;br /&gt;
* Fenech et al., Future health burdens associated with emission changes in the UK, Sci. Total Environ., https://www.sciencedirect.com/science/article/abs/pii/S0048969721007038?dgcid=coauthor, 2021.&lt;br /&gt;
* Garfinkel et al., Influence of ENSO on entry stratospheric water vapor in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/3725/2021/, 2021.&lt;br /&gt;
* Griffiths et al., Tropospheric ozone in CMIP6 simulations, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2019-1216/, Accepted, 2021.&lt;br /&gt;
* Keeble et al., Using machine learning to make computationally inexpensive projections of 21st Century stratospheric column ozone changes in the tropics, Frontiers in Earth Science, https://www.frontiersin.org/articles/10.3389/feart.2020.592667/full, 2021.&lt;br /&gt;
* Liu et al., Contrasting atmospheric ozone chemical environments in China: different effectiveness of emission control strategies regionally and across the globe, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1251/, In discussion, 2021.&lt;br /&gt;
* O&#039;Connor et al., Assessment of the pre-industrial to present-day anthropogenic forcings in UKESM1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/1211/2021/, 2021.&lt;br /&gt;
* Parrish et al., Anthropogenic Reversal of the Natural Ozone Gradient between Northern and Southern Mid-latitudes, Atmos. Chem. Phys. Disc., https://acp.copernicus.org/preprints/acp-2020-1198/, In discussion, 2020.&lt;br /&gt;
* Teixeira et al., Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model, Geosci. Model Dev. Disc., https://gmd.copernicus.org/preprints/gmd-2020-298/, In discussion, 2021.&lt;br /&gt;
* Thornhill et al., Effective Radiative forcing from emissions of reactive gases and aerosols – a multimodel comparison, Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/853/2021/, 2021.&lt;br /&gt;
* Thornhill, G., et al., Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models, Atmos. Chem. Phys.,  https://acp.copernicus.org/articles/21/1105/2021/, 2021.&lt;br /&gt;
* Visioni et al., Seventeen years of ozone sounding at L’Aquila, Italy: evidence of mid-latitude stratospheric ozone recovery and tropospheric profile changes, Atmos. Chem. Phys., https://acp.copernicus.org/preprints/acp-2020-525/, In discussion, 2021.&lt;br /&gt;
&lt;br /&gt;
== 2020 ==&lt;br /&gt;
* Abalos et al., Future trends in stratosphere-to-troposphere transport in CCMI models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/6883/2020/, 2020.&lt;br /&gt;
* Ahamad et al., Ozone Trends from Two Decades of Ground Level Observation in Malaysia, Atmosphere, https://www.mdpi.com/2073-4433/11/7/755, 2020.&lt;br /&gt;
* Allen et al., Climate and air quality impacts due to mitigation of non-methane near-term climate forcers, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9641/2020/, 2020.&lt;br /&gt;
* Amos et al., Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9961/2020, 2020.&lt;br /&gt;
* Antuña-Marrero et al., Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption, Earth Sys. Sci. Data, https://essd.copernicus.org/articles/12/2843/2020/, 2020.&lt;br /&gt;
* Archibald et al., Description and Evaluation of the UKCA stratosphere-troposphere chemistry (UKCA StratTrop) as implemented in UKESM1, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/1223/2020/, 2020.&lt;br /&gt;
* Archibald et al., On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms, Phil. Trans. Royal Soc., https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2019.0329, 2020.&lt;br /&gt;
* Dhomse et al., Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/13627/2020/, 2020.&lt;br /&gt;
* Griffiths et al., On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979-2010, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019GL086901, 2020.&lt;br /&gt;
* Heimann et al., Methane Emissions in a Chemistry-Climate Model: Feedbacks and Climate Response, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS002019, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Keeble et al., Modelling the potential impacts of the recent, unexpected increase in CFC-11 emissions on total column ozone recovery, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/7153/2020/, 2020.&lt;br /&gt;
* Morgenstern et al., Reappraisal of the climate impacts of ozone-depleting substances,  Geophys. Res. Letts., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088295, 2020.&lt;br /&gt;
* Mulcahy et al., Description and evaluation of aerosol in UKESM1 and HadGEM-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., https://gmd.copernicus.org/articles/13/6383/2020/, 2020.&lt;br /&gt;
* Nicely et al., A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/1341/2020/, 2020.&lt;br /&gt;
* Orbe et al., Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/3809/2020/, 2020.&lt;br /&gt;
* Robson et al., The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6, J. Adv. Earth Sys. Modeling, https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020MS002126, 2020.&lt;br /&gt;
* Sellar et al., Implementation of UK Earth system models for CMIP6, J. Adv. Modelling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019MS001946, 2020.&lt;br /&gt;
* Seo et al., The Impacts of Aerosol Emissions on Historical Climate in UKESM1, Atmosphere, https://www.mdpi.com/2073-4433/11/10/1095, 2020.&lt;br /&gt;
* Skeie et al., Historical total ozone radiative forcing derived from CMIP6 simulations, npj Climate Atmos. Sci., https://www.nature.com/articles/s41612-020-00131-0, 2020.&lt;br /&gt;
* Smith et al., Effective radiative forcing and adjustments in CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/9591/2020/, 2020.&lt;br /&gt;
* Stevenson et al., Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/12905/2020/, 2020.&lt;br /&gt;
* Turnock et al., Historical and future changes in air pollutants from CMIP6 models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/14547/2020/, 2020.&lt;br /&gt;
* Wade et al., Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption, Proc. Natl. Academy Sci., https://www.pnas.org/content/117/43/26651.short, 2020.&lt;br /&gt;
* Weber et al., Minimal Climate Impacts From Short-Lived Climate Forcers Following Emission Reductions Related to the COVID-19 Pandemic, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020GL090326, 2020.&lt;br /&gt;
* Weber et al., CRI-HOM: A novel chemical mechanism for simulating highly oxygenated organic molecules (HOMs) in global chemistry-aerosol-climate models, Atmos. Chem. Phys., https://acp.copernicus.org/articles/20/10889/2020/, 2020.&lt;br /&gt;
&lt;br /&gt;
== 2019 == &lt;br /&gt;
&lt;br /&gt;
* Dennison, F., J. Keeble, O. Morgenstern, G. Zeng, N. L. Abraham, and X. Yang (2019), Improvements to stratospheric chemistry in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions, Geosci. Model Dev., 12, 1227-1239, https://doi.org/10.5194/gmd-12-1227-2019.&lt;br /&gt;
* Eichinger, R., and 20 others (2019), The influence of mixing on the stratospheric age of air changes in the 21st century, Atmos. Chem. Phys., 19, 921-940, https://doi.org/10.5194/acp-19-921-2019. &lt;br /&gt;
* Harari, O., C. I. Garfinkel, O. Morgenstern, D. Marsh, D. Kinnison, M. Deushi, P. Jöckel, and F. M. O’Connor (2019), Influence of Artic Stratospheric Ozone on Surface Climate in CCMI models, Atmos. Chem. Phys., to appear.&lt;br /&gt;
* Hakim, Z.Q., et al., Evaluation of tropospheric ozone and ozone precursors in simulations from the HTAPII and CCMI model intercomparisons - a focus on the Indian subcontinent, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/6437/2019/, 2019.&lt;br /&gt;
* Gillett, Z. E., and 13 others (2019), Evaluating the relationship between interannual variations in the Antarctic ozone hole and Southern Hemisphere surface climate in chemistry–climate models, J. Climate, 32, 3131–3151, https://doi.org/10.1175/JCLI-D-18-0273.1&lt;br /&gt;
* Kelly et al., The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production, a global perspective using the UKCA chemistry-climate model (vn8.4), Geosci. Model Dev., https://gmd.copernicus.org/articles/12/2539/2019/, 2019.&lt;br /&gt;
* Lamy, K., and 39 others (2019), Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmos. Chem. Phys., 19, 10,087–10,110, https://doi.org/10.5194/acp-19-10087-2019.&lt;br /&gt;
* Malavelle, F.F., et al., Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model, https://acp.copernicus.org/articles/19/1301/2019/, 2019&lt;br /&gt;
* Marshall et al., Exploring how eruption source parameters affect volcanic radiative forcing using statistical emulation, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD028675, 2019.&lt;br /&gt;
* McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, C. Brogniez, and S. Simic (2019), Success of Montreal Protocol demonstrated by comparing high-quality UV measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://www.nature.com/articles/s41598-019-48625-z&lt;br /&gt;
* Polvani, L. M., and 12 others (2019), Large impacts, past and future, of ozone depleting substances on Brewer-Dobson circulation trends: A multi-model assessment, J. Geophys. Res. Atmos., 124, https://doi.org/10.1029/2018JD029516.&lt;br /&gt;
* Šácha, P., and 11 others (2019), Extratropical age of air trends and causative factors in climate projection simulations, Atmos. Chem. Phys., 19, 7627-7647, https://doi.org/10.5194/acp-19-7627-2019.&lt;br /&gt;
* Shi et al., Introduction to the special issue “In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)”, Atmos. Chem. Phys., https://acp.copernicus.org/articles/19/7519/2019/, 2019.&lt;br /&gt;
* SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, WCRP-17/2018, GAW Report No. 241, doi:10.17874/f899e57a20b, available at http://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-9/.&lt;br /&gt;
* Turnock et  al., The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing, Geophys. Res. Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019GL082067, 2019. &lt;br /&gt;
* Walters et al., The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., https://gmd.copernicus.org/articles/12/1909/2019/gmd-12-1909-2019.html, 2019.&lt;br /&gt;
* Yang, H., and 13 others (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511–5528, https://doi.org/10.5194/acp-19-5511-2019.&lt;br /&gt;
* Yoshioka et al., Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and their Radiative Forcing, J. Adv. Modeling Earth Sys., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001628, 2019.&lt;br /&gt;
&lt;br /&gt;
== 2018 ==&lt;br /&gt;
&lt;br /&gt;
* Arnold, S.R., et al., Simulated Global Climate Response to Tropospheric Ozone-Induced Changes in Plant Transpiration, Geophys. Res Lett., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL079938, 2018.&lt;br /&gt;
* Ayarzagüena, B., and 26 others (2018), No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI, Atmos. Chem. Phys., 18, 11277-11287, https://doi.org/10.5194/acp-18-11277-2018.&lt;br /&gt;
* Dhomse, S. S., and 46 others (2018), Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations, Atmos. Chem. Phys., 18, 8409-8438, doi:10.5194/acp-18-8409-2018, 2018.&lt;br /&gt;
* Dietmüller, S., and 22 others (2018), Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699-6720, doi:10.5194/acp-18-6699-2018. &lt;br /&gt;
* Hamilton, D., et al., Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing, Nature Comms., https://www.nature.com/articles/s41467-018-05592-9, 2018.&lt;br /&gt;
* Kelly et al., The impact of biogenic, anthropogenic, and biomass burning emissions on regional and seasonal variations in secondary organic aerosol concentrations, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/7393/2018/, 2018.&lt;br /&gt;
* Liang, C.-K., et al., HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors, Atmos. Chem. Phys, https://acp.copernicus.org/articles/18/10497/2018/, 2018.&lt;br /&gt;
* Marshall et al., Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora, Atmos. Chem. Phys., https://acp.copernicus.org/articles/18/2307/2018/, 2018.&lt;br /&gt;
* Maycock, A. C., and 33 others (2018), Revisiting the mystery of recent stratospheric temperature trends, Geophys. Res. Lett., 45, 9919-9933, https://doi.org/10.1029/2018GL078035.&lt;br /&gt;
* Morgenstern, O., and 18 others (2018), Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI simulations, Atmos. Chem. Phys., 18, 1091–1114, doi:10.5194/acp-18-1091-2018.&lt;br /&gt;
* Orbe, C., and 27 others (2018), Large-scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217–7235, doi:10.5194/acp-18-7217-2018&lt;br /&gt;
* Revell, L. E., and 24 others (2018), Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155-16172, https://doi.org/10.5194/acp-18-16155-2018. &lt;br /&gt;
* Timmreck et al., The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev.,  https://gmd.copernicus.org/articles/11/2581/2018/, 2018.&lt;br /&gt;
* Wales, P. A., and 48 other (2018). Stratospheric injection of brominated very short-lived substances: Aircraft observations in the Western Paciﬁc and representation in global models. J. Geophys. Res. Atmos., 123, 5690–5719. https://doi.org/10.1029/2017JD027978.&lt;br /&gt;
* WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project–Report No. 58, 588 pp., Geneva, Switzerland, 2018.&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* Anderson, D., and 37 others (2017), Formaldehyde in the Tropical Western Pacific: Chemical sources and sinks, convective transport, and representation in CAM-Chem and the CCMI models, J. Geophys. Res. Atmos., 122, doi:10.1002/2016JD026121.&lt;br /&gt;
* Brooke et al., Meteoric smoke deposition in the polar regions: A comparison of measurements with global atmospheric models, J. Geophys. Res.: Atmos., https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017JD027143, 2017. &lt;br /&gt;
* Butt et al., Global and regional trends in particulate air pollution and attributable health burden over the past 50 years, Environ. Res. Lett., https://iopscience.iop.org/article/10.1088/1748-9326/aa87be, 2017.&lt;br /&gt;
* Dennison, F., McDonald, A., and Morgenstern, O.: The evolution of zonally asymmetric austral ozone in a chemistry–climate model, Atmos. Chem. Phys., 17, 14,075-14,084, doi:10.5194/acp-17-14075-2017, 2017.&lt;br /&gt;
* Hardiman et al., The Met Office HadGEM3-ES Chemistry-Climate Model: Evaluation of stratospheric dynamics and its impact on ozone, [http://www.geosci-model-dev.net/10/1209/2017/ Geosci. Model Dev.], 10, 1209-1232, 2017.&lt;br /&gt;
* Hopcroft et al., Understanding the glacial atmospheric methane cycle, [http://www.nature.com/articles/ncomms14383 Nature Comms.], 8, 14383, doi:10.1038/ncomms14383, 2017.&lt;br /&gt;
* Liang, Q., and 27 others (2017), Deriving global OH abundance and atmospheric lifetimes for long-lived gases: A search for the alternative reference gas for CH3CCl3, J. Geophys. Res. Atmos.,122, doi:10.1002/2017JD026926.&lt;br /&gt;
* Malavelle et al., Evidence cloud liquid water path is invariant in Aerosol-Cloud Interactions, [http://www.nature.com/nature/journal/v546/n7659/full/nature22974.html Nature], 546, 485-491, 2017.&lt;br /&gt;
* Morgenstern, O., and 37 others (2017), Review of the global models used within the Chemistry-Climate Model Initiative (CCMI), [http://www.geosci-model-dev.net/10/639/2017/ Geosci. Model Dev.], 10, 639-671, 2017.&lt;br /&gt;
* Pannullo et al., Quantifying the impact of current and future air pollution concentrations on respiratory disease risk in England, [http://ehjournal.biomedcentral.com/articles/10.1186/s12940-017-0237-1 Environ. Health], DOI:10.1186/s12940-017-0237-1, 2017.&lt;br /&gt;
* Planche et al., Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain, Atmos. Chem. Phys., https://acp.copernicus.org/articles/17/3371/2017/, 2017.&lt;br /&gt;
* Reddington et al., The global aerosol synthesis and science project (GASSP): Measurements and modelling to reduce uncertainty, Bull. Amer. Meteorol. Soc., https://journals.ametsoc.org/downloadpdf/journals/clim/28/17/jcli-d-15-0127.1.xml, 2017.&lt;br /&gt;
* Son, S.-W., and 28 others (2017), Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models, Environ. Res. Lett., 13, 054024.&lt;br /&gt;
* Zhang, J., and 25 others (2017), Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift, Nature Communications, 9, 206, doi:10.1038/s41467-017-02565-2.&lt;br /&gt;
* Zeng, G., Morgenstern, O., Shiona, H., Thomas, A. J., Querel, R. R., and Nichol, S. E.: Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations, Atmos. Chem. Phys., 17, 10,495-10,513, doi:10.5194/acp-17-10495-2017, 2017.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* Behrens, E., G. Rickard, O. Morgenstern, T. Martin, A. Osprey, and M. Joshi (2016), Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales, J. Geophys. Res. Oceans, 121, 3905–3925, doi:10.1002/2015JC011286. &lt;br /&gt;
* Benduhn, F., G. W. Mann, Pringle, K. J., Topping, D. O., McFiggans, G. and K. S. Carslaw (2016), Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results, Geosci. Mod. Dev., 9, 3875-3906, https://doi.org/10.5194/gmd-9-3875-2016.&lt;br /&gt;
* Dennison, F. W., A. J. McDonald, and O. Morgenstern (2016), The influence of ozone forcing on blocking in the Southern Hemisphere, J. Geophys. Res. Atmos., 121, doi:10.1002/2016JD025033.&lt;br /&gt;
* Dunne, E. M., H. Gordon, A. Kürten, J. Almeida, J. Duplissy, C. Williamson, I. K. Ortega, K. J. Pringle et al. (2016), Global atmospheric particle formation from CERN CLOUD measurements, Science, vol. 354, 6316, 1119-1124, doi:10.1126/science.aaf2649.&lt;br /&gt;
* Johnson, B. T., J. M. Haywood, J. M. Langridge, E. Darbyshire, W. T. Morgan, K. Szpek, J. K. Brooke, F. Marenco, H. Coe et al. (2016),  Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign, Atmos. Chem. Phys., 16, 14657-14685, https://doi.org/10.5194/acp-16-14657-2016.    &lt;br /&gt;
* Kapadia, Z. Z., D. V. Spracklen, S. R. Arnold, D. J. Borman, G. W. Mann, K. J. Pringle, S. A. Monks et al. (2016), Impacts of aviation fuel sulfur content on climate and human health, Atmos. Chem. Phys., 16, 10521-10541, https://doi.org/10.5194/acp-16-10521-2016.&lt;br /&gt;
* López-Comí, L., O. Morgenstern, G. Zeng, S. L. Masters, R. R. Querel, and G. E. Nedoluha (2016) Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand, Atmos. Chem. Phys., 16, 14599-14619, doi:10.5194/acp-16-14599-2016. &lt;br /&gt;
* Oberländer-Hayn, S., et al. (2016), Is the Brewer-Dobson circulation increasing or moving upward?, Geophys. Res. Lett., 43, doi:10.1002/2015GL067545.&lt;br /&gt;
* Stone, K. A., Morgenstern, O., Karoly, D. J., Klekociuk, A. R., French, W. J., Abraham, N. L., and Schofield, R.: Evaluation of the ACCESS – chemistry–climate model for the Southern Hemisphere, Atmos. Chem. Phys., 16, 2401-2415, doi:10.5194/acp-16-2401-2016, 2016.&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231015001533 Assessment of the MACC reanalysis and its influence as chemical boundary conditions for regional air quality modeling in AQMEII-2]. L. Giordano, D. Brunner, J. Flemming, C. Hogrefe, U. Im, R. Bianconi, A. Badia, A. Balzarini, R. Baró, C. Chemel, G. Curci, R. Forkel, P. Jiménez-Guerrero, M. Hirtl, A. Hodzic, L. Honzak, O. Jorba, C. Knote, J.J.P. Kuenen, P.A. Makar, A. Manders-Groot, L. Neal, J.L. Pérez, G. Pirovano, G. Pouliot, R. San José, N. Savage, W. Schröder, R.S. Sokhi, D. Syrakov, A. Torian, P. Tuccella, J. Werhahn, R. Wolke, K. Yahya, R. Žabkar, Y. Zhang, S. Galmarini, Atmospheric Environment, Available online 12 February 2015, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2015.02.034.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/15/5611/2015/acp-15-5611-2015.html Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions]. Pope, R. J., Chipperfield, M. P., Savage, N. H., Ordóñez, C., Neal, L. S., Lee, L. A., Dhomse, S. S., Richards, N. A. D., and Keslake, T. D.  Atmos. Chem. Phys., 15, 5611-5626, doi:10.5194/acp-15-5611-2015, 2015.&lt;br /&gt;
* [http://journals.ametsoc.org/doi/full/10.1175/JCLI-D-15-0075.1 Processes controlling tropical tropopause temperature and stratospheric water vapour]. Hardiman, S. C., I. A. Boutle, A. C. Bushell, N. Butchart, M. J. P. Cullen, P. R. Field, K. Furtado, J. C. Manners, S. F. Milton, C. J. Morcrette, F. M. O&#039;Connor, B. J. Shipway, C. Smith, D. N. Walters, K. D. Williams, N. Wood, N. L. Abraham, J. M. Keeble, A. C. Maycock, J. Thurburn, and M. T. Woodhouse. J. Climate, 28, 6516-6535. doi: http://dx.doi.org/10.1175/JCLI-D-15-0075.1, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/15/11201/2015/acp-15-11201-2015.html The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO2]. Pope, R. J., Savage, N. H., Chipperfield, M. P., Ordóñez, C., and Neal, L. S. Atmos. Chem. Phys., 15, 11201-11215, doi:10.5194/acp-15-11201-2015, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/15/7557/2015/acp-15-7557-2015.html Wet scavenging limits the detection of aerosol effects on precipitation]. Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z. Atmos. Chem. Phys., 15, 7557-7570, doi:10.5194/acp-15-7557-2015, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/15/23683/2015/acpd-15-23683-2015.html On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models]. Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S., Takeamura, T., Gettelman, A., Morrison, H., Lee, Y. H., Shindell, D. T., Partridge, D. G., Stier, P., Kipling, Z., and Fu, C. Atmos. Chem. Phys. Discuss., 15, 23683-23729, doi:10.5194/acpd-15-23683-2015, 2015.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/15/25933/2015/acpd-15-25933-2015.html What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II]. Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S. E., Bergman, T., Chin, M., Diehl, T., Ghan, S. J., Iversen, T., Kirkevåg, A., Kokkola, H., Liu, X., Luo, G., van Noije, T., Pringle, K. J., von Salzen, K., Schulz, M., Seland, Ø., Skeie, R. B., Takemura, T., Tsigaridis, K., and Zhang, K. Atmos. Chem. Phys. Discuss., 15, 25933-25980, doi:10.5194/acpd-15-25933-2015, 2015.&lt;br /&gt;
* Dennison, F., A. J. McDonald, and O. Morgenstern (2015), The effect of ozone depletion on the Southern Annular Mode and stratosphere-troposphere coupling, J. Geophys. Res., Atmos., 120, 6305–6312, doi:10.1002/2014JD023009.&lt;br /&gt;
* Zeng, G., J. E. Williams, J. A. Fisher, L. K. Emmons, N. B. Jones, O. Morgenstern, et. al. (2015), Multi-model simulation of CO and HCHO in the Southern Hemisphere: biogenic emissions and model uncertainties, Atmos. Chem. Phys., 15, 7217-7245, doi:10.5194/acp-15-7217-2015.&lt;br /&gt;
&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2013JD021097/abstract Multi-model estimates of atmospheric lifetimes of long-lived ozone-depleting substances: Present and future] Chipperfield, M.P., Q. Liang, S. E. Strahan, O. Morgenstern, S.S. Dhomse, N.L. Abraham, A.T. Archibald, S. Bekki, P. Braesicke, G. Di Genova, E.L. Fleming, S.C. Hardiman, D. Iachetti, C.H. Jackman, D.E. Kinnison, M. Marchand, G. Pitari, J.A. Pyle, E. Rozanov, A. Stenke and F. Tummon, J. Geophys. Res. Atmos., 119, 5, 2555-2573, doi:10.1002/2013JD021097, 2014.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/2014GL062140/abstract Direct and ozone-mediated forcing of the Southern Annular Mode by greenhouse gases] O. Morgenstern, G. Zeng, S. M. Dean, M. Joshi, N. L. Abraham, and A. Osprey, Geophys. Res. Lett., 41, 9050–9057, doi:10.1002/2014GL062140, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/13257/2014/acp-14-13257-2014.html First comparison of the HadGEM2 climate-chemistry model against SCIAMACHY atmospheric methane columns] G.D. Hayman, F.M. O&#039;Connor, M. Dalvi, D.B. Clark, C. Huntingford, N. Gedney, C. Prigent, M. Buchwitz, O. Schneising, and J.P. Burrows, Atmos. Chem. Phys., 14, 13257-13280, 2014. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/11221/2014/acp-14-11221-2014.html Whole-atmosphere aerosol microphysics simulations of the Mt Pinatubo eruption with the UKCA composition-climate model] Dhomse S. S., K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, N. L. Abraham, P. Telford, P. Braesicke, M. Dalvi, C. E. Johnson, F. M. O&#039;Connor, O. Morgenstern, R. Hommel, and J. A. Pyle, Atmos. Chem. Phys., 14, 11221-11246, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/6369/2014/acp-14-6369-2014.html The importance of vertical velocity variability for estimates of the indirect aerosol effects] West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin, N., Partridge, D. G., and Kipling, Z., Atmos. Chem. Phys., 14, 6369-6393, doi:10.5194/acp-14-6369-2014, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/6035/2014/acp-14-6035-2014.html Heterogeneous reaction of N2O5 with airborne TiO2 particles and its implication for stratospheric particle injection] Tang, M. J., Telford, P. J., Pope, F. D., Rkiouak, L., Abraham, N. L., Archibald, A. T., Braesicke, P., Pyle, J. A., McGregor, J., Watson, I. M., Cox, R. A., and Kalberer, M., Atmos. Chem. Phys., 14, 6035-6048, 2014.&lt;br /&gt;
* [http://http://www.atmos-chem-phys.net/14/1011/2014/acp-14-1011-2014.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Abraham, N. L., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys., 14, 1011-1024, doi:10.5194/acp-14-1011-2014, 2014.&lt;br /&gt;
* [http://www.geosci-model-dev.net/7/41/2014/gmd-7-41-2014.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, A. Voulgarakis, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev., 7, 41-91, 2014.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/14/3899/2014/acp-14-3899-2014.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model] Stock, Z. S., Russo, M. R., and Pyle, J. A., Atmos. Chem. Phys., 14, 3899-3912, doi:10.5194/acp-14-3899-2014, 2014.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006967 Application of a statistical post-processing technique to a gridded, operational, air quality forecast]. L.S. Neal, P. Agnew, S. Moseley, C. Ordóñez, N.H. Savage, M. Tilbee, Atmospheric Environment, Volume 98, December 2014, Pages 385-393, ISSN 1352-2310, doi:10.1016/j.atmosenv.2014.09.004.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014007353 Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Jeroen J.P. Kuenen, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 16 September 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.09.042.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014006839 Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter]. Ulas Im, Roberto Bianconi, Efisio Solazzo, Ioannis Kioutsioukis, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Hugo Denier van der Gon, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Oriol Jorba, Christoph Knote, Paul A. Makar, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guido Pirovano, George Pouliot, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Kai Wang, Johannes Werhahn, Ralf Wolke, Rahela Zabkar, Yang Zhang, Junhua Zhang, Christian Hogrefe, Stefano Galmarini. Atmospheric Environment, Available online 28 August 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.08.072.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/pii/S1352231014009807 Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2]. Dominik Brunner, Nicholas Savage, Oriol Jorba, Brian Eder, Lea Giordano, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bianconi, Charles Chemel, Gabriele Curci, Renate Forkel, Pedro Jiménez-Guerrero, Marcus Hirtl, Alma Hodzic, Luka Honzak, Ulas Im, Christoph Knote, Paul Makar, Astrid Manders-Groot, Erik van Meijgaard, Lucy Neal, Juan L. Pérez, Guido Pirovano, Roberto San Jose, Wolfram Schröder, Ranjeet S. Sokhi, Dimiter Syrakov, Alfreida Torian, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Khairunnisa Yahya, Rahela Zabkar, Yang Zhang, Christian Hogrefe, Stefano Galmarini, Atmospheric Environment, Available online 15 December 2014, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2014.12.032.&lt;br /&gt;
&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/3027/2013/acp-13-3027-2013.pdf Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model]. N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi, Atmos. Chem. Phys., 13, 3027-3044, doi:10.5194/acp-13-3027-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/8455/2013/acpd-13-8455-2013.html Consistent circulation differences in the Southern Hemisphere caused by ozone changes: a chemistry-climate model and observational study] Braesicke, P., Keeble, J., Yang, X., Stiller, G., Kellmann, S., Abraham, N. L., Archibald, A. T., Telford, P., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 8455-8487, doi:10.5194/acpd-13-8455-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/5969/2013/acp-13-5969-2013.html Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon]. Z. Kipling, P. Stier, J. P. Schwarz, A. E. Perring, J. R. Spackman, G. W. Mann, C. E. Johnson, and P. J. Telford, Atmos. Chem. Phys., 13, 5969-5986, doi:10.5194/acp-13-5969-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2012JD018382/ Impacts of climate change, ozone recovery, and increasing methane on surface ozone and the tropospheric oxidizing capacity] O. Morgenstern, G. Zeng, N. L. Abraham, P. J. Telford, P. Braesicke, J. A. Pyle, S. C. Hardiman, F. M. O&#039;Connor, and C. E. Johnson, J. Geophys. Res., Atmos., 118, 2, 1028–1041, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev-discuss.net/6/1743/2013/gmdd-6-1743-2013.html Evaluation of the new UKCA climate-composition model. Part II. The troposphere]. F.M. O&#039;Connor, C.E. Johnson, O. Morgenstern, N.L. Abraham, P. Braesicke, M. Dalvi, G.A. Folberth, M.G. Sanderson, P.J. Telford, P.J. Young, G. Zeng, W.J. Collins, and J.A. Pyle, Geosci. Model Dev. Disc., 6, 1743-1857, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/353/2013/gmd-6-353-2013.html Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation]. Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O&#039;Connor, F. M., and Dalvi, M., Geosci. Model Dev., 6, 353-372, doi:10.5194/gmd-6-353-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/18307/2013/acpd-13-18307-2013.html Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone] Squire, O. J., Archibald, A. T., Beerling, D. J., Hewitt, C. N., Lathière, J., Pike, R. C., Telford, P. J., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 18307-18344, doi:10.5194/acpd-13-18307-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/12215/2013/acp-13-12215-2013.html Modelling the impact of megacities on local, regional and global tropospheric ozone and the deposition of nitrogen species]. Stock, Z. S., Russo, M. R., Butler, T. M., Archibald, A. T., Lawrence, M. G., Telford, P. J., Abraham, N. L., and Pyle, J. A. Atmos. Chem. Phys., 13, 12215-12231, doi:10.5194/acp-13-12215-2013, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/13/27423/2013/acpd-13-27423-2013.html Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model].  Stock, Z. S., Russo, M. R., and Pyle, J. A. Atmos. Chem. Phys. Discuss., 13, 27423-27458, doi:10.5194/acpd-13-27423-2013, 2013.&lt;br /&gt;
* [http://www.geosci-model-dev.net/6/161/2013/gmd-6-161-2013.html Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3)]. P. J. Telford, N. L. Abraham, A. T. Archibald, P. Braesicke, M. Dalvi, O. Morgenstern, F. M. O&#039;Connor, N. A. D. Richards, and J. A. Pyle. Geosci. Model Dev., 6, 161-177, 2013.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/13/2723/2013/acp-13-2723-2013.html Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw and O. Boucher, Atmos. Chem. Phys., 13, 2723-2733. doi: 10.5194/acp-13-2723-2013, 2013.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1111/j.1751-1097.2012.01223.x/abstract Skin cancer risks avoided by the Montreal Protocol – Worldwide modelling integrating coupled climate-chemistry models with a risk model for UV] Van Dijk, A., Slaper, H., den Outer, P.N., Morgenstern, O., Braesicke, P., Pyle, J.A., Garny, H., Stenke, A., Dameris, M., Kazantzidis, A., Tourpali, K. and Bais, A.F., Photochemistry and Photobiology, 89: 234–246. doi: 10.1111/j.1751-1097.2012.01223.x, 2013.&lt;br /&gt;
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== 2012 ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/6775/2012/acp-12-6775-2012.html The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol]. J. Browse, K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher, Atmos. Chem. Phys., 12, 6775-6798, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/11573/2012/acp-12-11573-2012.html No statistically significant effect of a short-term decrease in the nucleation rate on atmospheric aerosols]. E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw, Atmos. Chem. Phys., 12, 11573-11587, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1220/2012GL053401/index.shtml Modelling future changes to the stratospheric source gas injection of biogenic bromocarbons]. Hossaini, R., et al., Geophys. Res. Lett., 39, L20813, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/9739/2012/acp-12-9739-2012.html Mapping the uncertainty in global CCN using emulation]. L. A. Lee, K. S. Carslaw, K. J. Pringle, and G. W. Mann, Atmos. Chem. Phys., 12, 9739-9751, 2012&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys.net/12/4449/2012/acp-12-4449-2012.pdf Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model]. G. W. Mann, K. S. Carslaw, D. A. Ridley, D. V. Spracklen, K. J. Pringle, J. Merikanto, H. Korhonen, J. P. Schwarz, L. A. Lee, P. T. Manktelow, M. T. Woodhouse, A. Schmidt, T. J. Breider, K. M. Emmerson, C. L. Reddington, M. P. Chipperfield, and S. J. Pickering, Atmos. Chem. Phys., 12, 4449–4476, 2012.&lt;br /&gt;
&lt;br /&gt;
*[http://www.agu.org/journals/jd/jd1222/2012JD018276/ Sensitivity of biogenic isoprene emissions to past, present, and future environmental conditions and implications for atmospheric chemistry]. Pacifico, F., G. A. Folberth, C. D. Jones, S. P. Harrison, and W. J. Collins, J. Geophys. Res., 117, D22302, doi:10.1029/2012JD018276, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys-discuss.net/12/7125/2012/acpd-12-7125-2012.html A multi-model assessment of the efficacy of sea spray geoengineering]. K. J. Pringle, K. S. Carslaw, T. Fan, G.W. Mann, A. Hill, P. Stier, K. Zhang, and H. Tost, Atmos. Chem. Phys. Discuss., 12, 7125-7166, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/26503/2012/acpd-12-26503-2012.pdf The size distribution and mixing state of black carbon aerosol over Europe]. C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw, Atmos. Chem. Phys. Discuss., 12, 26503-26560, 2012.&lt;br /&gt;
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* [http://www.atmos-chem-phys.net/12/7321/2012/acp-12-7321-2012.pdf Importance of tropospheric volcanic aerosol for indirect radiative forcing of climate]. A. Schmidt, K. S. Carslaw, G. W. Mann, A. Rap, K. J. Pringle, D. V. Spracklen, M. Wilson, and P. M. Forster, Atmos. Chem. Phys., 12, 7321-7339, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/12/27395/2012/acpd-12-27395-2012.pdf Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions]. M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher, Atmos. Chem. Phys. Discuss., 12, 27395-27423, 2012.&lt;br /&gt;
&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/qj.1909/abstract The nature of Arctic polar vortices in chemistry–climate models]. Mitchell, D.M., Charlton-Perez, A.J., Gray, L.J., Akiyoshi, H., Butchart, N., Hardiman, S.C., Morgenstern, O., Nakamura, T., Rozanov, E., Shibata, K., Smale, D. and Yamashita, Y., Q.J.R. Meteorol. Soc., 138: 1681–1691. doi: 10.1002/qj.1909, 2012.&lt;br /&gt;
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==2011==&lt;br /&gt;
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* [http://www.pnas.org/content/108/38/15710.full.pdf+html Excess mortality in Europe following a future Laki-style Icelandic eruption]. A. Schmidt, B. Ostro, K. S. Carslaw, M. Wilson, T. Thordarson, G. W. Mann and A. J. Simmons, Proceedings of the National Academy of Sciences, USA, vol. 108 ∣ no. 38, pp. 15710–15715, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12253/2011/acp-11-12253-2011.pdf Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters]. L. A. Lee, K. S. Carslaw, K. J. Pringle, G. W. Mann, and D. V. Spracklen, Atmos. Chem. Phys., 11, 12253-12273, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046520.shtml Impacts of HOx regeneration and recycling in the oxidation of isoprene: Consequences for the composition of past, present and future atmospheres] A. T. Archibald, J. G. Levine, N. L. Abraham, M. C. Cooke, P. M. Edwards, D. E. Heard, M. E. Jenkin, A. Karunaharan, R. C. Pike, P. S. Monks, D. E. Shallcross, P. J. Telford, L. K. Whalley, and J. A. Pyle, Geophys. Res. Lett. , 38 , L05804, doi:10.1029/2010GL046520&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GL046228.shtml Ozone concentration changes in the Asian summer monsoon anticyclone and lower stratospheric water vapour: An idealised model study]: ,Braesicke, P., O. J. Smith, P. Telford, and J. A. Pyle (2011), Geophys. Res. Lett., 38, 10.1029/2010GL046228, L03810.&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/1051/2011/ Development and evaluation of an Earth-system model - HadGEM2] W. J. Collins, N. Bellouin, M. Doutriaux-Boucher, N. Gedney, P. Halloran, T. Hinton, J. Hughes, C. D. Jones, M. Joshi, S. Liddicoat, G. Martin, F. O&#039;Connor, J. Rae, C. Senior, S. Sitch, I. Totterdell, A. Wiltshire, and S. Woodward, Geosci. Model Dev., 4, 1051-1075, 2011. &lt;br /&gt;
* [http://dx.doi.org/10.5194/acp-11-599-2011 Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., Akiyoshi, H., Bekki, S., Braesicke, P., Eyring, V., Garcia, R., Karpechko, A. Yu., McLinden, C. A., Morgenstern, O., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J., and Shibata, K., (2011), Atmos. Chem. Phys., 10.5194/acp-11-599-2011 11, 599-609&lt;br /&gt;
* [http://www.geosci-model-dev.net/4/543/2011/ The HadGEM2-ES implementation of CMIP5 centennial simulations] C. D. Jones, J. K. Hughes, N. Bellouin, S. C. Hardiman, G. S. Jones, J. Knight, S. Liddicoat, F. M. O&#039;Connor, R. J. Andres, C. Bell, K.-O. Boo, A. Bozzo, N. Butchart, P. Cadule, K. D. Corbin, M. Doutriaux-Boucher, P. Friedlingstein, J. Gornall, L. Gray, P. R. Halloran, G. Hurtt, W. J. Ingram, J.-F. Lamarque, R. M. Law, M. Meinshausen, S. Osprey, E. J. Palin, L. Parsons Chini, T. Raddatz, M. G. Sanderson, A. A. Sellar, A. Schurer, P. Valdes, N. Wood, S. Woodward, M. Yoshioka, and M. Zerroukat, Geosci. Model Dev., 4, 543-570, 2011. &lt;br /&gt;
* [http://www.atmos-chem-phys-discuss.net/11/9057/2011/acpd-11-9057-2011.pdf Large methane releases lead to strong aerosol forcing and reduced cloudiness] T. Kurtén, L. Zhou, R. Makkonen, J. Merikanto, P. Räisänen, M. Boy, N. Richards, A. Rap, S. Smolander, A. Sogachev, A. Guenther, G. W. Mann, K. Carslaw, and M. Kulmala (2011),  Atmos. Chem. Phys. Discuss., 11, 9057-9081.&lt;br /&gt;
*[http://www.geosci-model-dev.net/4/723/2011/ The HadGEM2 family of Met Office Unified Model climate configurations] The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O&#039;Connor, F. M., Roberts, M. J., Rodriguez, J.M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A., Geosci. Model Dev., 4, 723-757, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/2765/2011/acp-11-2765-2011.html Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations],Russo, M. R., Marécal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., and Pyle, J. A,  Atmos. Chem. Phys., 11, doi:10.5194/acp-11-2765-2011,  2765-2786.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8459/2011/acp-11-8459-2011.pdf Minor effect of physical size sorting on iron solubility of transported mineral dust] Z. B. Shi, M. T. Woodhouse, K. S. Carslaw, M. D. Krom, G. W. Mann, A. R. Baker, I. Savov, G. Fones, B. Brooks, T. D. Jickells, and L. G. Benning, Atmos. Chem. Phys., 11, 8459-8469, 2011.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2011/2010GB003837.shtml Influence of chemical weathering and aging of iron oxides on the potential iron solubility of Saharan dust during simulated atmospheric processing] Z. B. Shi, M. Krom, S. Bonneville, A. R. Baker, C. Bristow, N. Drake, G. W. Mann, K. S. Carslaw, J. B. McQuaid, T. Jickells, L. G. Benning, Global Biogeochem. Cycles, doi:10.1029/2010GB003837, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/12109/2011/acp-11-12109-2011.pdf Aerosol mass spectrometer constraint on the global secondary organic aerosol budget] D. V. Spracklen, J. L. Jimenez, K. S. Carslaw, D. R. Worsnop, M. J. Evans, G. W. Mann, Q. Zhang, M. R. Canagaratna, J. Allan, H. Coe, G. McFiggans, A. Rap, and P. Forster (2011),  Atmos. Chem. Phys., 11, 12109-12136, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/9067/2011/acp-11-9067-2011.pdf Global cloud condensation nuclei influenced by carbonaceous combustion aerosol] D. V. Spracklen,  K. S. Carslaw, U. Poeschl, A. Rap, and P. M. Forster (2011),  Atmos. Chem. Phys., 11, 9067-9087, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/5819/2011/acp-11-5819-2011.html Global multi-year O3-CO correlation patterns from models and TES satellite observations] A. Voulgarakis, P. J. Telford, A. M. Aghedo, P. Braesicke, G. Faluvegi, N. L. Abraham, K. W. Bowman, J. A. Pyle, and D. T. Shindell, (2011), Atmos. Chem. Phys., 11, 5819-5838, doi:10.5194/acp-11-5819-2011&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/7533/2011/acp-11-7533-2011.html Projections of UV radiation changes in the 21st century: Impact of ozone recovery and cloud effects] Bais, A. F., K. Tourpali, A. Kazantzidis, H. Akiyoshi, S. Bekki, P. Braesicke, M. P. Chipperfield, M. Dameris, V. Eyring, H. Garny, D. Iachetti, P. Jöckel, A. Kubin, U. Langematz, E. Mancini, M. Michou, O. Morgenstern, T. Nakamura, P.A. Newman, G. Pitari, D.A. Plummer, E. Rozanov, T.G. Shepherd, K. Shibata, W. Tian, and Y. Yamashita, Atmos. Chem. Phys., 11, 15, 7533-7545, doi:10.5194/acp-11-7533-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1002/asl.294/abstract Might dimming the sun change atmospheric ENSO teleconnections as we know them?] Braesicke, P., O. Morgenstern, and J.A. Pyle, Atmos. Sci. Lett., 12, 2, 184-188, doi:10.1002/asl.294, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD014995/abstract Multimodel climate and variability of the stratosphere] Butchart, N., A.J. Charlton-Perez, I. Cionni, S.C. Hardiman, P.H. Haynes, K. Krüger, P.J. Kushner, P.A. Newman, S.M. Osprey, J. Perlwitz, M. Sigmond, L. Wang, H. Akiyoshi, J. Austin, S. Bekki, A. Baumgaertner, P. Braesicke, C. Brühl, M. Chipperfield, M. Dameris, S. Dhomse, V. Eyring, R. Garcia, H. Garny, P. Jöckel, J.-F. Lamarque, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura,S. Pawson, D. Plummer, J. Pyle, E. Rozanov, J. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian, D. Waugh and Y. Yamashita, J. Geophys. Res., 116, D05102, doi:10.1029/2010JD014995, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015361/abstract Evaluation of radiation scheme performance within chemistry climate models], Forster, P.M., V. I. Fomichev, E. Rozanov, C. Cagnazzo, A. I. Jonsson, U. Langematz, B. Fomin, M. J. Iacono, B. Mayer, E. Mlawer, G. Myhre, R. W. Portmann, H. Akiyoshi, V. Falaleeva, N. Gillett, A. Karpechko, J. Li, P. Lemennais, O. Morgenstern, S. Oberländer, M. Sigmond and K. Shibata, J. Geophys. Res., 116, D10302, doi:10.1029/2010JD015361, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/599/2011/acp-11-599-2011.html Attribution of observed changes in stratospheric ozone and temperature] Gillett, N. P., H. Akiyoshi, S. Bekki, P. Braesicke, V. Eyring, R. Garcia, A.Yu. Karpechko, C.A. McLinden, O. Morgenstern, D.A. Plummer, J.A. Pyle, E. Rozanov, J. Scinocca, and K. Shibata, Atmos. Chem. Phys., 11, 599-609, doi:10.5194/acp-11-599-2011, 2011.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/11/8103/2011/acp-11-8103-2011.html Representation of tropical deep convection in atmospheric models - Part 2: Tracer transport] Hoyle, C. R., V. Marécal, M.R. Russo, G. Allen, J. Arteta, C. Chemel, M.P. Chipperfield, F. D&#039;Amato, O. Dessens, W. Feng, J.F. Hamilton, N.R.P. Harris, J.S. Hosking, A.C. Lewis, O. Morgenstern, T. Peter, J.A. Pyle, T. Reddmann, N.A.D. Richards, P.J. Telford, W. Tian, S. Viciani, A. Volz-Thomas, O. Wild, X. Yang, and G. Zeng, Atmos. Chem. Phys., 11, 15, 8103-8131, doi:10.5194/acp-11-8103-2011, 2011.&lt;br /&gt;
* [http://onlinelibrary.wiley.com/doi/10.1029/2010JD015360/abstract Using transport diagnostics to understand chemistry climate model ozone simulations], Strahan, S.E., A.R. Douglass, R.S. Stolarski, H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M.P. Chipperfield, D. Cugnet, S. Dhomse, S.M. Frith, A. Gettelman, S.C. Hardiman, D. E. Kinnison, J.-F. Lamarque, E. Mancini, M. Marchand, M. Michou, O. Morgenstern, T. Nakamura, D. Olivié, S. Pawson, G. Pitari, D.A. Plummer, J.A. Pyle, J.F. Scinocca, T.G. Shepherd, K. Shibata, D. Smale, H. Teyssèdre, W. Tian and Y. Yamashita, J. Geophys. Res., 116, D17302, doi: 10.1029/2010JD015360, 2011.&lt;br /&gt;
&lt;br /&gt;
==2010==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013577.shtml Chemistry-climate model simulations of spring Antarctic ozone]: Austin, J., et al. (2010), Chemistry-climate model simulations of spring Antarctic ozone, J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013857.shtml Decline and recovery of total column ozone using a multimodel time series analysis]: Austin, J., et al. (2010), Decline and recovery of total column ozone using a multimodel time series analysis, J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857. &lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL040868.shtml Impact of BrO on dimethylsulfide in the remote marine boundary layer] Breider, T. J., M. P. Chipperfield, N. A. D. Richards, K. S. Carslaw, G. W. Mann, and D. V. Spracklen (2010), Impact of BrO on dimethylsulfide in the remote marine boundary layer, Geophys. Res. Lett., 37, L02807, doi:10.1029/2009GL040868.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9473/2010/acp-10-9473-2010.html The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century]: Charlton-Perez, A. J., Hawkins, E., Eyring, V., Cionni, I., Bodeker, G. E., Kinnison, D. E., Akiyoshi, H., Frith, S. M., Garcia, R., Gettelman, A., Lamarque, J. F., Nakamura, T., Pawson, S., Yamashita, Y., Bekki, S., Braesicke, P., Chipperfield, M. P., Dhomse, S., Marchand, M., Mancini, E., Morgenstern, O., Pitari, G., Plummer, D., Pyle, J. A., Rozanov, E., Scinocca, J., Shibata, K., Shepherd, T. G., Tian, W., and Waugh, D. W.: The potential to narrow uncertainty in projections of stratospheric ozone over the 21st century, Atmos. Chem. Phys., 10, 9473-9486, doi:10.5194/acp-10-9473-2010, 2010&lt;br /&gt;
* [http://www.atmosp.physics.utoronto.ca/SPARC SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models]: V. Eyring, T. G. Shepherd, D. W. Waugh (eds.), SPARC CCMVal (2010), SPARC CCMVal Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-X, WMO/TD-No. X.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/9451/2010/acp-10-9451-2010.html Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models] Eyring, V., Cionni, I., Bodeker, G. E., Charlton-Perez, A. J., Kinnison, D. E., Scinocca, J. F., Waugh, D. W., Akiyoshi, H., Bekki, S., Chipperfield, M. P., Dameris, M., Dhomse, S., Frith, S. M., Garny, H., Gettelman, A., Kubin, A., Langematz, U., Mancini, E., Marchand, M., Nakamura, T., Oman, L. D., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Shepherd, T. G., Shibata, K., Tian, W., Braesicke, P., Hardiman, S. C., Lamarque, J. F., Morgenstern, O., Pyle, J. A., Smale, D., and Yamashita, Y.: Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models, Atmos. Chem. Phys., 10, 9451-9472, doi:10.5194/acp-10-9451-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009JD013770.shtml Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models] Gerber, E. P., et al. (2010), Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res., 115, D00M06, doi:10.1029/2009JD013770.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD013884.shtml Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics] Hegglin, M. I., et al. (2010), Multimodel assessment of the upper troposphere and lower stratosphere: Extratropics, J. Geophys. Res., 115, D00M09, doi:10.1029/2010JD013884. &lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1007/2009JD012788/ Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models]: Hurwitz, M. M., P. A. Newman, F. Li, L. D. Oman, O. Morgenstern, P. Braesicke, and J. A. Pyle (2010), Assessment of the breakup of the Antarctic polar vortex in two new chemistry-climate models, J. Geophys. Res., 115, D07105, doi:10.1029/2009JD012788.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/4133/2010/acp-10-4133-2010.html Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport] Korhonen, H., Carslaw, K. S., and Romakkaniemi, S.: Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport, Atmos. Chem. Phys., 10, 4133-4143, doi:10.5194/acp-10-4133-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2009GL041320.shtml Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds] Korhonen, H., K. S. Carslaw, P. M. Forster, S. Mikkonen, N. D. Gordon, and H. Kokkola (2010), Aerosol climate feedback due to decadal increases in Southern Hemisphere wind speeds, Geophys. Res. Lett., 37, L02805, doi:10.1029/2009GL041320.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/365/2010/acp-10-365-2010.html The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm] Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The impact of dust on sulfate aerosol, CN and CCN during an East Asian dust storm, Atmos. Chem. Phys., 10, 365-382, doi:10.5194/acp-10-365-2010, 2010. &lt;br /&gt;
* [http://www.geosci-model-dev.net/3/519/2010/gmd-3-519-2010.html Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model] Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519-551, doi:10.5194/gmd-3-519-2010, 2010.&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/695/2010/acp-10-695-2010.html Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000] Merikanto, J., Spracklen, D. V., Pringle, K. J., and Carslaw, K. S.: Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000, Atmos. Chem. Phys., 10, 695-705, doi:10.5194/acp-10-695-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1017/2009JD013347/ Anthropogenic forcing of the Northern Annular Mode in CCMVal-2 models]: Morgenstern, O., H. Akiyoshi, S. Bekki, P. Braesicke, N. Butchart, M. P. Chipperfield, D. Cugnet, M. Deushi, S. S. Dhomse, R. R. Garcia, A. Gettelman, N. P. Gillett, S. C. Hardiman, J. Jumelet, D. E. Kinnison, J.-F. Lamarque, F. Lott, M. Marchand, M. Michou, T. Nakamura, D. Olivié, T. Peter, D. Plummer, J. A. Pyle, E. Rozanov, D. Saint-Martin, J. F. Scinocca, K. Shibata, M. Sigmond, D. Smale, H. Teyssèdre, W. Tian, A. Voldoire, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M03, doi:10.1029/2009JD013347.&lt;br /&gt;
* [http://www.agu.org/journals/jd/jd1015/2009JD013728/ Review of the formulation of present-generation stratospheric chemistry-climate models and associated external forcings]: O. Morgenstern, M. A. Giorgetta, K. Shibata, V. Eyring, D. W. Waugh, T. G. Shepherd, H. Akiyoshi, J. Austin, A. J. G. Baumgaertner, S. Bekki, P. Braesicke, C. Brühl, M. P. Chipperfield, D. Cugnet, M. Dameris, S. Dhomse, S. M. Frith, H. Garny, A. Gettelman, S. C. Hardiman, M. I. Hegglin, P. Jöckel, D. E. Kinnison, J.-F. Lamarque, E. Mancini, E. Manzini, M. Marchand, M. Michou, T. Nakamura, J. E. Nielsen, D. Olivié, G. Pitari, D. A. Plummer, E. Rozanov, J. F. Scinocca, D. Smale, H. Teyssèdre, M. Toohey, W. Tian, and Y. Yamashita (2010), J. Geophys. Res., 115, D00M02, doi:10.1029/2009JD013728.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014206.shtml Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis]  Ray, E. A., et al. (2010), Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis, J. Geophys. Res., 115, D21304, doi:10.1029/2010JD014206. &lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/6025/2010/acp-10-6025-2010.html The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei] Schmidt, A., Carslaw, K. S., Mann, G. W., Wilson, M., Breider, T. J., Pickering, S. J., and Thordarson, T.: The impact of the 1783–1784 AD Laki eruption on global aerosol formation processes and cloud condensation nuclei, Atmos. Chem. Phys., 10, 6025-6041, doi:10.5194/acp-10-6025-2010, 2010.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2010/2010JD014271.shtml Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment] Son, S.-W., et al. (2010), Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, doi:10.1029/2010JD014271. &lt;br /&gt;
* [http://www.atmos-chem-phys.net/10/7117/2010/acp-10-7117-2010.html Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo] Telford, P., J. Lathiere, N. L. Abraham, P. Braesicke, C. E. Johnson, O. Morgenstern, F. M. O&#039;Connor, R. C. Pike, O. Wild, P. J. Young, D. Beerling, C. N. Hewitt and J. A. Pyle (2010), Effects of climate-induced changes in isoprene emissions after the eruption of Mount Pinatubo, Atmos. Chem. Phys., 10,  7117-7125, doi:10.5194/acp-10-7117-2010&lt;br /&gt;
* [http://www.atmos-chem-phys.org/10/7545/2010/acp-10-7545-2010.html Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide] Woodhouse, M. T., Carslaw, K. S., Mann, G. W., Vallina, S. M., Vogt, M., Halloran, P. R., and Boucher, O.: Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide, Atmos. Chem. Phys., 10, 7545-7559, doi:10.5194/acp-10-7545-2010, 2010. &lt;br /&gt;
* [http://www.agu.org/journals/gl/gl1009/2010GL042812/ Impact of stratospheric ozone recovery on tropospheric ozone and the oxidizing capacity]: Zeng, G., O. Morgenstern, P. Braesicke, and J. A. Pyle (2010),  Geophys. Res. Lett., 37, L09805, doi:10.1029/2010GL042812.&lt;br /&gt;
&lt;br /&gt;
==2009==&lt;br /&gt;
&lt;br /&gt;
* [http://www.geosci-model-dev.net/2/43/2009/ Evaluation of the new UKCA climate-composition model – Part 1: The stratosphere]: Morgenstern, O., Braesicke, P., O&#039;Connor, F. M., Bushell, A. C., Johnson, C. E., Osprey, S. M., and Pyle, J. A., Geosci. Model Dev., 2, 43-57, 2009.&lt;br /&gt;
* [http://www.agu.org/journals/gl/gl0916/2009GL039152/ Interactions between tropospheric chemistry and climate model temperature and humidity biases]: F. M. O&#039;Connor, C. E. Johnson, O. Morgenstern, and W. J. Collins, Geophys. Res. Lett., 36, L16801, doi:10.1029/2009GL039152, 2009.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/9/4251/2009/acp-9-4251-2009.html Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM]: Telford, P., Braesicke, P., Morgenstern, O., and Pyle, J.: Reassessment of causes of ozone column variability following the eruption of Mount Pinatubo using a nudged CCM, Atmos. Chem. Phys., 9, 4251-4260, 2009.&lt;br /&gt;
&lt;br /&gt;
==2008==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007JD009718.shtml Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study]: Korhonen, H., K. S. Carslaw, D. V. Spracklen, G. W. Mann, and M. T. Woodhouse (2008), Influence of oceanic dimethyl sulfide emissions on cloud condensation nuclei concentrations and seasonality over the remote Southern Hemisphere oceans: A global model study, J. Geophys. Res., 113, D15204, doi:10.1029/2007JD009718.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2008GL034590.shtml The World Avoided by the Montreal Protocol]: Morgenstern, O., P. Braesicke, M. M. Hurwitz, F. M. O&#039;Connor, A. C. Bushell, C. E. Johnson, and J. A. Pyle (2008), Geophys. Res. Lett., 35, L16811, doi:10.1029/2008GL034590.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/8/1701/2008/acp-8-1701-2008.html Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model]: Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712, 2008.&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2008/2007GL033038.shtml Contribution of particle formation to global cloud condensation nuclei concentrations]: Spracklen, D. V., et al. (2008), Contribution of particle formation to global cloud condensation nuclei concentrations, Geophys. Res. Lett., 35, L06808, doi:10.1029/2007GL033038.&lt;br /&gt;
* [http://www.sciencedirect.com/science/article/B6VH3-4SMNY0J-1/2/4a88e04ab0cac2c4069c19ac12c2c42f New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei]: Matthew T. Woodhouse, Graham W. Mann, Kenneth S. Carslaw, Olivier Boucher, New Directions: The impact of oceanic iron fertilisation on cloud condensation nuclei, Atmospheric Environment, Volume 42, Issue 22, July 2008, Pages 5728-5730, ISSN 1352-2310, DOI: 10.1016/j.atmosenv.2008.05.005.&lt;br /&gt;
&lt;br /&gt;
==2007==&lt;br /&gt;
&lt;br /&gt;
* [http://www.agu.org/pubs/crossref/2007/2006GL028668.shtml Regional and global trends in sulfate aerosol since the 1980s]: Manktelow, P. T., G. W. Mann, K. S. Carslaw, D. V. Spracklen, and M. P. Chipperfield (2007), Regional and global trends in sulfate aerosol since the 1980s, Geophys. Res. Lett., 34, L14803, doi:10.1029/2006GL028668.&lt;br /&gt;
* [http://www.atmos-chem-phys.net/7/2073/2007/acp-7-2073-2007.html Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere]: Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Mann, G. W., Manktelow, P., and Heintzenberg, J.: Evaluation of a global aerosol microphysics model against size-resolved particle statistics in the marine atmosphere, Atmos. Chem. Phys., 7, 2073-2090, 2007.&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5777</id>
		<title>UKCA Chemistry and Aerosol vn10.4 Tutorial 12</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5777"/>
		<updated>2017-01-09T08:33:28Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* Task 12.2 Configure the UKCA tutorial job to run as a double-call job diagnosing aerosol radiative effects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[UKCA Chemistry and Aerosol Tutorials at vn10.4]]&lt;br /&gt;
&lt;br /&gt;
==What you will learn in this Tutorial==&lt;br /&gt;
&lt;br /&gt;
In this tutorial you will learn about how to quantify the radiative effects of aerosol&lt;br /&gt;
simulated by GLOMAP-mode in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
In the first task you will update your copy of the UKCA tutorial job to request radiative&lt;br /&gt;
fluxes allowing the radiative flux perturbation (or effective radiative forcing) to be&lt;br /&gt;
diagnosed based on difference in the fluxes between a pair of UM-UKCA jobs with some&lt;br /&gt;
difference (e.g. pre-industrial and present-day emissions jobs).&lt;br /&gt;
&lt;br /&gt;
The second task involves configuring a copy of the UKCA tutorial job to run in&lt;br /&gt;
&#039;&#039;double-call configuration&#039;&#039; whereby the aerosol radiative effects can be diagnosed&lt;br /&gt;
at each radiation timestep.&lt;br /&gt;
&lt;br /&gt;
==Task 12.1: Update your copy of the UKCA tutorial job to diagnose Top Of the Atmosphere (TOA) radiative fluxes==&lt;br /&gt;
&lt;br /&gt;
In this task you will add STASH requests for SW and LW outgoing radiative fluxes at&lt;br /&gt;
the top of the atmosphere to enable the radiative forcing from a particular change to be diagnosed.&lt;br /&gt;
&lt;br /&gt;
The user should note however that to illustrate the task we are adding these requests to&lt;br /&gt;
the UKCA tutorial job which is just a 1-day simulation.&lt;br /&gt;
&lt;br /&gt;
One would need to average the flux-difference between the pair of simulations over an&lt;br /&gt;
appropriate timescale (e.g. multi-annual monthly-means) in order to diagnose an&lt;br /&gt;
effective radiative forcing appropriately.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Noting the above caveat, proceed and add daily-mean STASH requests for section 1 item 208 (all-sky outgoing short wave flux at the top-of-the-atmosphere) and section 2 item 205 (all-sky outgoing long wave flux at the top-of-the-atmosphere) to the updated copy of the UKCA tutorial suite you produced in Task 10 after adding AOD and OM diags&#039;&#039;&#039; (the reference job for this is u-ai830).&lt;br /&gt;
&lt;br /&gt;
The radiative fluxes are 2-dimensional diagnostics (longitude by latitude) so you should&lt;br /&gt;
use the DIAG domain profile in this case. For daily-means use the TDAYM time profile.&lt;br /&gt;
Again, since we require the daily-mean fluxes to be output to the .pa file you should&lt;br /&gt;
request the diagnostics with the UPK usage profile.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows the daily-mean SW and LW all-sky TOA radiative flux &lt;br /&gt;
fields from the UKCA tutorial job for 1st September 1999 (produced by&lt;br /&gt;
gmann job u-ai902, which updated from u-ai830 by adding in the requests).&lt;br /&gt;
&lt;br /&gt;
[[File:ai902_SWandLWallskyTOAfluxes.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Example Output===&lt;br /&gt;
&lt;br /&gt;
You .pk file should now contain the following fields:&lt;br /&gt;
&lt;br /&gt;
 0    : 192   144   1     1     Upward solar&lt;br /&gt;
 1    : 192   144   1     1     IR up&lt;br /&gt;
 2    : 192   144   6     1     Unspecified&lt;br /&gt;
 3    : 192   144   6     1     Unspecified&lt;br /&gt;
 4    : 192   144   6     1     Unspecified&lt;br /&gt;
 5    : 192   144   6     1     Unspecified&lt;br /&gt;
 6    : 192   144   6     1     Unspecified&lt;br /&gt;
 7    : 192   144   6     1     Unspecified&lt;br /&gt;
 8    : 192   144   6     1     Unspecified&lt;br /&gt;
 9    : 192   144   6     1     Unspecified&lt;br /&gt;
 10   : 192   144   6     1     Unspecified&lt;br /&gt;
 11   : 192   144   6     1     Unspecified&lt;br /&gt;
 12   : 192   144   6     1     Unspecified&lt;br /&gt;
 13   : 192   144   6     1     Unspecified&lt;br /&gt;
 14   : 192   144   85    1     AITKEN MODE (SOLUBLE) OC MMR&lt;br /&gt;
 15   : 192   144   85    1     ACCUMULATION MODE (SOL) OC MMR&lt;br /&gt;
 16   : 192   144   85    1     COARSE MODE (SOLUBLE) OC MMR&lt;br /&gt;
 17   : 192   144   85    1     AITKEN MODE (INSOLUBLE) OC MMR&lt;br /&gt;
 18   : 192   144   85    1     NUCLEATION MODE (SOLUBLE) OC  MMR&lt;br /&gt;
&lt;br /&gt;
Example output for Task12.1 can be found on ARCHER in the following directory:&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn10.4/sample_output/Task12.1&lt;br /&gt;
&lt;br /&gt;
The Rose specific changes required are:&lt;br /&gt;
&lt;br /&gt;
 Index: app/um/rose-app.conf&lt;br /&gt;
 ===================================================================&lt;br /&gt;
 --- app/um/rose-app.conf	(revision 28624)&lt;br /&gt;
 +++ app/um/rose-app.conf	(revision 28651)&lt;br /&gt;
 @@ -6638,6 +6638,14 @@&lt;br /&gt;
  tim_name=&#039;TRADDM&#039;&lt;br /&gt;
  use_name=&#039;UPMEAN&#039;&lt;br /&gt;
  &lt;br /&gt;
 +[namelist:streq(678928ac)]&lt;br /&gt;
 +dom_name=&#039;DIAG&#039;&lt;br /&gt;
 +isec=1&lt;br /&gt;
 +item=208&lt;br /&gt;
 +package=&#039;&#039;&lt;br /&gt;
 +tim_name=&#039;TDAYM&#039;&lt;br /&gt;
 +use_name=&#039;UPK&#039;&lt;br /&gt;
 +&lt;br /&gt;
  [namelist:streq(67a9602e)]&lt;br /&gt;
  dom_name=&#039;DIAGAOT&#039;&lt;br /&gt;
  isec=2&lt;br /&gt;
 @@ -8878,6 +8886,14 @@&lt;br /&gt;
  tim_name=&#039;TDAYM&#039;&lt;br /&gt;
  use_name=&#039;UPJ&#039;&lt;br /&gt;
  &lt;br /&gt;
 +[namelist:streq(c8bb6a1f)]&lt;br /&gt;
 +dom_name=&#039;DIAG&#039;&lt;br /&gt;
 +isec=2&lt;br /&gt;
 +item=205&lt;br /&gt;
 +package=&#039;&#039;&lt;br /&gt;
 +tim_name=&#039;TDAYM&#039;&lt;br /&gt;
 +use_name=&#039;UPK&#039;&lt;br /&gt;
 +&lt;br /&gt;
  [namelist:streq(c8c613fb)]&lt;br /&gt;
  dom_name=&#039;DALLTH&#039;&lt;br /&gt;
  isec=34&lt;br /&gt;
&lt;br /&gt;
A file containing these changes can be found at:&lt;br /&gt;
&lt;br /&gt;
 /home/ukca/Tutorial/worked_solutions/Task12.1/task12.1.rose.diff&lt;br /&gt;
&lt;br /&gt;
==Task 12.2 Configure the UKCA tutorial job to run as a &#039;&#039;double-call&#039;&#039; job diagnosing aerosol radiative effects==&lt;br /&gt;
&lt;br /&gt;
In this task you will copy the copy of the standard tutorial job you used in Task 12.1&lt;br /&gt;
(&amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai902&#039;&#039;&#039;&amp;lt;/code&amp;gt;)&lt;br /&gt;
and configure it to run with &#039;&#039;double-call&#039;&#039; to the radiation scheme to diagnose the radiative&lt;br /&gt;
effects of the aerosol simulated by GLOMAP in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
The UM has been coded to allow the user to diagnose radiative effects of a particular&lt;br /&gt;
forcing agent by calling the radiation scheme twice with one of the calls setting the&lt;br /&gt;
agent&#039;s concentration to zero. Special &#039;&#039;forcing&#039;&#039; STASH items are included within the&lt;br /&gt;
UM which store the difference in the radiative fluxes between the two radiation calls.&lt;br /&gt;
&lt;br /&gt;
In the um &#039;&#039;app&#039;&#039; in the Rose GUI go to namelist --&amp;gt; UM Science Settings&lt;br /&gt;
and then choose &#039;&#039;Section 1 - 2: Radiation&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
In the &#039;&#039;General Options&#039;&#039; panel, you see that at the top there is an&lt;br /&gt;
&#039;&#039;i_rad_extra_call&#039;&#039; &amp;quot;Options for multiple calls to radiation&amp;quot; button-selector.&lt;br /&gt;
&lt;br /&gt;
The UKCA tutorial job is set to &amp;quot;Single call&amp;quot; which is the standard way of running the UM&lt;br /&gt;
with a single call to the radiation scheme every radiation timestep (here one hour).&lt;br /&gt;
You see there is a 2nd option there to select &amp;quot;Diagnose radiative forcings&amp;quot;.&lt;br /&gt;
Selecting this option activates the &#039;&#039;double-call&#039;&#039; approach where the radiation scheme&lt;br /&gt;
is called twice on each radiation timestep once with the forcing agent and&lt;br /&gt;
once without it.&lt;br /&gt;
&lt;br /&gt;
With this option, the idea is that the user can then isolate the difference in&lt;br /&gt;
the radiative fluxes (i.e. the forcing) due to a particular forcing agent of&lt;br /&gt;
interest. There are a host of additional settings that become available when&lt;br /&gt;
you select this option setting exactly which forcings to isolate via the&lt;br /&gt;
difference between the main call and the 2nd call.&lt;br /&gt;
&lt;br /&gt;
The default approach, for this &#039;&#039;Diagnose radiative forcings&#039;&#039; option, involves&lt;br /&gt;
the model diagnosing the radiative forcing based on the flux-difference being&lt;br /&gt;
between the &#039;&#039;advancing call&#039;&#039; including the radiative effects of the forcing&lt;br /&gt;
agent (as usual), and the 2nd &#039;&#039;diagnostic call&#039;&#039; to the radiation setting&lt;br /&gt;
that species&#039; concentration to zero (or not including its effects in the&lt;br /&gt;
radiative transfer calculations).&lt;br /&gt;
&lt;br /&gt;
These additional settings for the diagnostic call are set in three of the&lt;br /&gt;
sub-panels of this &#039;&#039;Section 1 - 2: Radiation&#039;&#039; part of the Rose GUI.&lt;br /&gt;
First it can be seen that there are &amp;quot;SW second call&amp;quot; and &amp;quot;LW second call&amp;quot;&lt;br /&gt;
panels that become active.  There is also a separate &#039;&#039;Diagnostic forcing&#039;&#039;&lt;br /&gt;
panel for setting the precise arrangement for this second call to the&lt;br /&gt;
radiation. In this separate panel it is possible to individually (or multiply)&lt;br /&gt;
select the CLASSIC aerosol types to diagnose their radiative effects.&lt;br /&gt;
For GLOMAP-mode it&#039;s different in that it only makes sense to diagnose the&lt;br /&gt;
effects over all the types considered since the different types are often internally&lt;br /&gt;
mixed within each size class.  The user will likely only want to run these&lt;br /&gt;
effects when the settings in the second radiation call match exactly with&lt;br /&gt;
those in the first radiation call (so that the difference then indicates&lt;br /&gt;
the forcing due to the forcing agent of interest rather than any difference&lt;br /&gt;
in settings). If particular experiments are planned, as usual it is recommended&lt;br /&gt;
to discuss with the relevant expert(s) within NCAS or the Met Office.&lt;br /&gt;
&lt;br /&gt;
As explained above, the default UM setting for the double-call is to set&lt;br /&gt;
the species mixing ratio to zero in the diagnostic call with the&lt;br /&gt;
difference then including any fast feedbacks from the forcing agent&lt;br /&gt;
in the advancing call. However, it is often very useful to be able to&lt;br /&gt;
suppress the fast feedbacks from the forcing agent in question by&lt;br /&gt;
reversing the operation of the double-call including the aerosol&lt;br /&gt;
radiative effects only in the diagnostic call&lt;br /&gt;
and setting the species mixing ratio to zero in the advancing call.&lt;br /&gt;
&lt;br /&gt;
With this &#039;&#039;diagnostic double-call radiative forcing&#039;&#039; configuration,&lt;br /&gt;
the difference in radiative fluxes between the two calls then&lt;br /&gt;
provides the aerosol radiative perturbation with respect to an&lt;br /&gt;
atmosphere containing no aerosols. For example, one can diagnose the &lt;br /&gt;
present-day to pre-industrial aerosol radiative forcing by taking the &lt;br /&gt;
difference between two parallel diagnostic-double-call simulations with &lt;br /&gt;
aerosol and precursor emissions set to 1850 and 2000. As long as&lt;br /&gt;
other forcing agents, such as greenhouse gases or land-use change, &lt;br /&gt;
remain fixed at a reference time period, the meteorology should&lt;br /&gt;
then be identical in the two runs, giving a radiative forcing &lt;br /&gt;
signal &amp;quot;clean&amp;quot; from the different transport arising from the&lt;br /&gt;
dynamical response to the aerosol radiative effects.&lt;br /&gt;
&lt;br /&gt;
Often nudging to meteorological re-analysis winds and temperatures is applied in tandem with the double-call configuration&lt;br /&gt;
in which case the composition-climate model is being run in a similar way to an offline chemistry-transport model.&lt;br /&gt;
This approach has been used extensively in aerosol forcing intercomparisons (e.g. the AeroCom direct forcing&lt;br /&gt;
experiments, Myhre et al., 2013, ACP) with the radiative forcings diagnosed from each model with fast feedbacks&lt;br /&gt;
disabled.&lt;br /&gt;
&lt;br /&gt;
Unfortunately, this &#039;&#039;diagnostic double-call&#039;&#039; configuration is not one of&lt;br /&gt;
the supported configurations of the v10.4 release job. As a consequence,&lt;br /&gt;
to run UM-UKCA with this configuration, you will need to add an&lt;br /&gt;
extra FCM branch to the job and also modify the metadata in the&lt;br /&gt;
the Rose GUI to enable the option to run configured in this way.&lt;br /&gt;
&lt;br /&gt;
First add the branch. In the fcm_make_um &#039;&#039;app&#039;&#039; go to &#039;&#039;env&#039;&#039; and&lt;br /&gt;
then &#039;&#039;Sources&#039;&#039;.  There you should add an extra entry to add-in the&lt;br /&gt;
code-changes from revision 32452 of the following FCM branch:&lt;br /&gt;
&lt;br /&gt;
 branches/dev/grahammann/vn10.4_updates_for_dblcalaerforc@32452&lt;br /&gt;
&lt;br /&gt;
The code added in that branch applies a new switch C2C_AER_DIAGCAL&lt;br /&gt;
which controls whether the setting of the forcing agent to zero is&lt;br /&gt;
applied on the advancing call (C2C_AER_DIAGCAL is .TRUE.) or&lt;br /&gt;
to retain the standard operation of the double-call where the aerosol&lt;br /&gt;
is included in the advancing call but set to zero in the diagnostic&lt;br /&gt;
call (C2C_AER_DIAGCAL is .FALSE).&lt;br /&gt;
&lt;br /&gt;
We need to use new metadata to enable this switch -- and also to&lt;br /&gt;
add in a new switch C2C_UKCA_I which controls whether the GLOMAP&lt;br /&gt;
indirect effects are included or not.&lt;br /&gt;
&lt;br /&gt;
Just like in the last task, this requires to point the Rose GUI&lt;br /&gt;
to a new rose-meta.conf file within a separate directory outside&lt;br /&gt;
the FCM branch.&lt;br /&gt;
&lt;br /&gt;
In the Rose GUI click on the &#039;&#039;um&#039;&#039; word and you&#039;ll see that&lt;br /&gt;
there is already a separate metadata file specified in that&lt;br /&gt;
job which is set to point to:&lt;br /&gt;
&lt;br /&gt;
 /home/grenville/meta/ga7_vn10.4&lt;br /&gt;
&lt;br /&gt;
I have prepared a modified version of this that enables the extra&lt;br /&gt;
C2C_AER_DIAGCAL and C2C_UKCA_I switches to be selected in the Rose GUI.&lt;br /&gt;
So change the file path to instead point to this one:&lt;br /&gt;
&lt;br /&gt;
 /home/gmann/meta/ga7_vn10.4_dblcalaerforc&lt;br /&gt;
&lt;br /&gt;
After you have done this, there will be 2 additional buttons&lt;br /&gt;
available in the &#039;&#039;Diagnostic forcing&#039;&#039; panel to allow the user&lt;br /&gt;
to specify the C2C_AER_DIAGCAL and C2C_UKCA_I switches to be&lt;br /&gt;
true or false.&lt;br /&gt;
&lt;br /&gt;
We want to use this diagnostic double call configuration and we want to&lt;br /&gt;
have the forcing be including both the direct and indirect effects&lt;br /&gt;
from the GLOMAP aerosol -- so set C2C_UKCA_D and C2C_UKCA_I to&lt;br /&gt;
be .TRUE.  You should also set the C2C_DUST_D switch to be true&lt;br /&gt;
so that the model is then calculating the overall aerosol&lt;br /&gt;
radiative effects (including both aerosol direct and indirect&lt;br /&gt;
effects with the aerosol consisting of the total of the 6 CLASSIC&lt;br /&gt;
dust bins plus the GLOMAP aerosol modes).  All the other C2C&lt;br /&gt;
switches in that panel should be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
You will also need to update your job to make sure all the settings&lt;br /&gt;
for the diagnostic call so that they match those set for the prognostic&lt;br /&gt;
call (in terms of the methods for cloud water content variability,&lt;br /&gt;
overlapping clouds, and which other forcing agents are interacting (or not).&lt;br /&gt;
&lt;br /&gt;
To check this you should compare the &amp;quot;SW main call&amp;quot; and&lt;br /&gt;
&amp;quot;SW second call&amp;quot; windows and the &amp;quot;LW main call&amp;quot; and the&lt;br /&gt;
&amp;quot;LW second call&amp;quot; panels.&lt;br /&gt;
&lt;br /&gt;
Firstly you need to add the &#039;&#039;spectral file&#039;&#039; name in both second call&lt;br /&gt;
to match that used in the main call -- see the spectral files used are&lt;br /&gt;
sp_sw_ga7 for the shortwave and sp_lw_ga7 for the longwave.&lt;br /&gt;
&lt;br /&gt;
Next, select the Shortwave panel and &amp;quot;Number of times per day for full SW&lt;br /&gt;
radiation calls&amp;quot; is set to 24, which means the radiation scheme is called&lt;br /&gt;
every hour. The contrasts with the actual model timestep which is set at&lt;br /&gt;
20 minutes (see Top Level Model Control --&amp;gt; Model Domain and Timestep).&lt;br /&gt;
In our double-call case, at every radiation timestep, we want there to&lt;br /&gt;
be two calls. In other words the frequency for the second SW call needs&lt;br /&gt;
to be set to match that in the full radiation call. It might seem the&lt;br /&gt;
user would always want the two to match, but it turns out that in the so-called&lt;br /&gt;
&#039;&#039;single-call timestepping&#039;&#039; configuration, this 2nd call is used to enable&lt;br /&gt;
to call the radiation scheme more frequently but with a reduced operation&lt;br /&gt;
of the radiation interactions (for details see Manners et al., QJRMS 2009).&lt;br /&gt;
That&#039;s why the first call is referred to as a full call (because in the&lt;br /&gt;
single-call timestepping configuration the second call is a reduced one.&lt;br /&gt;
But in our double-call case, the second call is also full and we are&lt;br /&gt;
diagnosing (on each radiation timestep) the difference to isolate the&lt;br /&gt;
effects from the forcing agent of interest.&lt;br /&gt;
&lt;br /&gt;
For the Longwave panel, also set the frequency to 24 per day for both.&lt;br /&gt;
&lt;br /&gt;
All that remains then is to add in the extra STASH requests for the&lt;br /&gt;
double-call forcing diagnostics which give the &amp;quot;increment&amp;quot; (flux-difference)&lt;br /&gt;
between the two calls and to note a change to the way the AOD diagnostics&lt;br /&gt;
operate.&lt;br /&gt;
&lt;br /&gt;
The approach taken to index the STASH numbers for the radiative forcing items (the flux-difference between&lt;br /&gt;
the two radiation calls) is to apply an offset of +200 to the item number to the corresponding item for&lt;br /&gt;
the conventional radiative fluxes.&lt;br /&gt;
&lt;br /&gt;
In task 12.1 we added STASH requests for the all-sky TOA outgoing SW and LW radiative fluxes which are&lt;br /&gt;
referenced in STASH as section 1 item 208 and section 2 item 205.&lt;br /&gt;
&lt;br /&gt;
To request the all-sky TOA outgoing SW and LW radiative forcings (between the two radiation calls) the&lt;br /&gt;
corresponding item numbers are section 1 item 408 and section 2 item 405.  Unfortunately however,&lt;br /&gt;
at UM v10.4, section 2 item 405 is not available from the Rose GUI.  In this task we will therefore request&lt;br /&gt;
instead the clear-sky TOA outgoing SW and LW radiative forcing diagnostics (section 1 item 409 and&lt;br /&gt;
section 2 item 406).  Note also that one needs to request both the radiation flux and radiation forcing&lt;br /&gt;
diagnostic in these runs so you should add 4 daily-mean STASH requests for section 1 items 209 and 409&lt;br /&gt;
and section 2 items 206 and 406.&lt;br /&gt;
&lt;br /&gt;
Go to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add the daily-mean (TDAYM)&lt;br /&gt;
requests for both of these flux-forcing pairs of diagnostics. As in Task 10.1, the domain profile&lt;br /&gt;
should be set as DIAG and the usage profile as UPK. Note however that the TDAYM&lt;br /&gt;
time profile is set to sample from the diagnostics on every timestep, whereas in&lt;br /&gt;
fact these forcing diagnostics are only defined on radiation timesteps.&lt;br /&gt;
As a consequence, we need to make up a new time profile &#039;&#039;TDMN_RAD&#039;&#039; which&lt;br /&gt;
samples every 3 timesteps (on radiation timesteps)) instead of on every&lt;br /&gt;
timestep.  To do this requires to go to &#039;&#039;STASH requests and Profiles&#039;&#039; and&lt;br /&gt;
select &#039;&#039;Time Profiles&#039;&#039;. Again, this is quite an intimidating panel of data,&lt;br /&gt;
but actually it gives the UM a great deal of flexibility to sample diagnostics&lt;br /&gt;
during runtime in a myriad of different ways.  Here we want to take a copy of&lt;br /&gt;
the existing TDAYM &#039;&#039;time profile&#039;&#039; (which calculated daily-means based on&lt;br /&gt;
the average of values on every timestep) and instead change it to only sample&lt;br /&gt;
the data every hour (ignoring the values on the other timesteps). You see&lt;br /&gt;
there is a column in the Table entitled &#039;&#039;tim_name&#039;&#039; -- this should really be&lt;br /&gt;
the first column of data because it tells you what the name of the profile is.&lt;br /&gt;
You see there are profiles such as TDAYMAX -- that takes the maximum value&lt;br /&gt;
over the day (useful for example in air quality applications for diagnosing&lt;br /&gt;
exceedance days) and other useful ways of storing some statistics on the data&lt;br /&gt;
as it is running. This flexibility does potentially make it seem difficult&lt;br /&gt;
to understand. You can get an idea of what each time profile does by noting&lt;br /&gt;
its index in the far left column. This number will be in the list underneath.&lt;br /&gt;
For example the TDAYMAX time profile has the code 3ffa377f. When you then&lt;br /&gt;
click on that code underneath a panel appears explaining exactly what it does.&lt;br /&gt;
In our case, we want to take a copy of the TDAYM profile. This is done by&lt;br /&gt;
right-clicking on the word &#039;&#039;TDAYM&#039;&#039; in the &#039;&#039;tim_name column&#039;&#039; and then&lt;br /&gt;
selecting &#039;&#039;Clone this section&#039;&#039;.  It&#039;s confusing because the word &#039;&#039;section&#039;&#039;&lt;br /&gt;
is not really correct here -- it should say &#039;&#039;profile&#039;&#039; not &#039;&#039;section&#039;&#039;.&lt;br /&gt;
Still, you know what it means. When you do that it generates a copy of the&lt;br /&gt;
TDAYM and you should change that name to &#039;&#039;TDMN_RAD&#039;&#039; and then change the&lt;br /&gt;
specified frequency of &#039;&#039;isam&#039;&#039; (&amp;quot;Specify the sampling period (frequency)&amp;quot;)&lt;br /&gt;
to be 3 instead of 1. See it says underneath that the &#039;&#039;units&#039;&#039; for the&lt;br /&gt;
sampling period are set as &#039;&#039;timesteps&#039;&#039;. So we&#039;re changing the sampling&lt;br /&gt;
frequency from once every timestep to once every three timesteps.&lt;br /&gt;
Once this is done, it&#039;s just a case of saving the profile and requesting&lt;br /&gt;
these double-call radiation diags (1-209, 1-409, 2-206, 2-406) with&lt;br /&gt;
TDMN_RAD, DIAG and UPK.&lt;br /&gt;
&lt;br /&gt;
Since we have set C2C_AER_DIAGCAL to be .TRUE., when the model runs it will&lt;br /&gt;
be settings the GLOMAP aerosol to zero in the advancing call. So&lt;br /&gt;
the conventional AOD diagnostics introduced in tutorial 10 (section 2 items&lt;br /&gt;
300 to 305) will now contain zero values when the model is run.&lt;br /&gt;
&lt;br /&gt;
The UM therefore has a second set of AOD diagnostics giving the aerosol&lt;br /&gt;
optical depth as calculated in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The approach for the double-call AOD diagnostics is the same as for the&lt;br /&gt;
forcing diags, i.e. to apply an offset of +200 to the item number to&lt;br /&gt;
find the corresponding AOD item in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The double-call GLOMAP AOD diagnostics are therefore found in section 2&lt;br /&gt;
items 500 to 505. I have added these extra STASH items to the modified&lt;br /&gt;
STASHmaster_A in the ~gmann/meta/ga7_vn10.4_dblcalaerforc directory&lt;br /&gt;
that the job is pointing to, so those double-call GLOMAP AODs&lt;br /&gt;
will be available to select in the Rose GUI. Again, request these&lt;br /&gt;
with the TDMN_RAD time profile, usage profile UPK&lt;br /&gt;
and (this time) use domain profile DIAG_AOT (which specifies that&lt;br /&gt;
6 pseudo-levels are required for the 6 wavelengths the AODs are&lt;br /&gt;
calculated for).&lt;br /&gt;
&lt;br /&gt;
The simulation will then output daily-mean SW and LW clear-sky forcings&lt;br /&gt;
and double-call AOD diagnostics to the .pk file for your v10.4 UM-UKCA job.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows daily-mean TOA SW-clearsky and LW-clearsky radiative&lt;br /&gt;
effect fields for the double-call-modified version of the UKCA tutorial&lt;br /&gt;
(gmann job u-ai978).&lt;br /&gt;
&lt;br /&gt;
[[File:idl_dailyTOAradforcings_SWclearsky_LWclearsky_xkwhi.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Worked Solution===&lt;br /&gt;
&lt;br /&gt;
[[Image:task1202.png|thumb|300px|right|Figure 1: m01s02i500, showing the corrupt values.]]&lt;br /&gt;
A worked solution to Task 12.2 can be found in job &amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai978&#039;&#039;&#039;&amp;lt;/code&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
It should be noted that due to problems with setting up this configuration, the s02i500 to s02i505 fields are corrupted. To prevent the run from failing you need to change the &#039;&#039;&#039;&#039;&#039;packing&#039;&#039;&#039;&#039;&#039; of the .pk file to &#039;&#039;&#039;&#039;Unpacked (0)&#039;&#039;&#039;&#039;. This can be done in &#039;&#039;&#039;um &amp;amp;rarr; namelist &amp;amp;rarr; Model Input and Output &amp;amp;rarr; Model Output Streams &amp;amp;rarr; pp10&#039;&#039;&#039;. With this done the file is created with the fields in place, but it is clear that the diagnostics are corrupted (see Figure 1).&lt;br /&gt;
&lt;br /&gt;
It should be noted that these values may be different in your job. &#039;&#039;It is currently unclear why this issue exists, but we hope to fix it soon.&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Sample output from a copy of this job can be found on ARCHER in the directory&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn10.4/sample_output/Task12.2&lt;br /&gt;
&lt;br /&gt;
Your .pk file should contain the following fields:&lt;br /&gt;
&lt;br /&gt;
 0    : 192   144   1     1     Upward solar&lt;br /&gt;
 1    : 192   144   1     1     Clear-sky flux (type II) solar up&lt;br /&gt;
 2    : 192   144   1     1     Clear-sky flux (type II) solar up&lt;br /&gt;
 3    : 192   144   1     1     IR up&lt;br /&gt;
 4    : 192   144   1     1     Clear-sky (type II) IR up&lt;br /&gt;
 5    : 192   144   6     1     Unspecified&lt;br /&gt;
 6    : 192   144   6     1     Unspecified&lt;br /&gt;
 7    : 192   144   6     1     Unspecified&lt;br /&gt;
 8    : 192   144   6     1     Unspecified&lt;br /&gt;
 9    : 192   144   6     1     Unspecified&lt;br /&gt;
 10   : 192   144   6     1     Unspecified&lt;br /&gt;
 11   : 192   144   6     1     Unspecified&lt;br /&gt;
 12   : 192   144   6     1     Unspecified&lt;br /&gt;
 13   : 192   144   6     1     Unspecified&lt;br /&gt;
 14   : 192   144   6     1     Unspecified&lt;br /&gt;
 15   : 192   144   6     1     Unspecified&lt;br /&gt;
 16   : 192   144   6     1     Unspecified&lt;br /&gt;
 17   : 192   144   1     1     Clear-sky (type II) IR up&lt;br /&gt;
 18   : 192   144   6     1     Unspecified&lt;br /&gt;
 19   : 192   144   6     1     Unspecified&lt;br /&gt;
 20   : 192   144   6     1     Unspecified&lt;br /&gt;
 21   : 192   144   6     1     Unspecified&lt;br /&gt;
 22   : 192   144   6     1     Unspecified&lt;br /&gt;
 23   : 192   144   6     1     Unspecified&lt;br /&gt;
 24   : 192   144   85    1     AITKEN MODE (SOLUBLE) OC MMR&lt;br /&gt;
 25   : 192   144   85    1     ACCUMULATION MODE (SOL) OC MMR&lt;br /&gt;
 26   : 192   144   85    1     COARSE MODE (SOLUBLE) OC MMR&lt;br /&gt;
 27   : 192   144   85    1     AITKEN MODE (INSOLUBLE) OC MMR&lt;br /&gt;
 28   : 192   144   85    1     NUCLEATION MODE (SOLUBLE) OC  MMR&lt;br /&gt;
&lt;br /&gt;
The Rose specific changes required for this task are (excluding the STASHmaster_A changes):&lt;br /&gt;
&lt;br /&gt;
 Index: app/um/rose-app.conf&lt;br /&gt;
 ===================================================================&lt;br /&gt;
 --- app/um/rose-app.conf	(revision 28651)&lt;br /&gt;
 +++ app/um/rose-app.conf	(revision 28652)&lt;br /&gt;
 @@ -1,4 +1,4 @@&lt;br /&gt;
 -meta=/home/grenville/meta/ga7_vn10.4&lt;br /&gt;
 +meta=/home/gmann/meta/ga7_vn10.4_dblcalaerforc&lt;br /&gt;
  &lt;br /&gt;
  [command]&lt;br /&gt;
  default=um-atmos&lt;br /&gt;
 @@ -23,6 +23,7 @@&lt;br /&gt;
  RECON_KEEP_MPP_STDOUT=true&lt;br /&gt;
  RECON_STDOUT_FILE=pe_output/${RUNID}.fort6.pe&lt;br /&gt;
  SPECTRAL_FILE_DIR=$UMDIR/vn$VN/ctldata/spectral/ga7&lt;br /&gt;
 +STASHMSTR=.&lt;br /&gt;
  UM_THREAD_LEVEL=MULTIPLE&lt;br /&gt;
  VN=10.4&lt;br /&gt;
  &lt;br /&gt;
 @@ -2832,7 +2833,7 @@&lt;br /&gt;
  !!filename=&#039;$ROSE_DATAC/$RUNID.pp10&#039;&lt;br /&gt;
  filename_base=&#039;$DATAM/${RUNID}a.pk%C&#039;&lt;br /&gt;
  l_reinit=.true.&lt;br /&gt;
 -packing=5&lt;br /&gt;
 +packing=0&lt;br /&gt;
  reinit_end=-1&lt;br /&gt;
  reinit_start=0&lt;br /&gt;
  reinit_step=90&lt;br /&gt;
 @@ -3004,140 +3005,142 @@&lt;br /&gt;
  &lt;br /&gt;
  [namelist:r2lwclnl]&lt;br /&gt;
  i_cnv_ice_lw=8&lt;br /&gt;
 -!!i_cnv_ice_lw2=8&lt;br /&gt;
 +i_cnv_ice_lw2=8&lt;br /&gt;
  i_cnv_water_lw=5&lt;br /&gt;
 -!!i_cnv_water_lw2=5&lt;br /&gt;
 +i_cnv_water_lw2=5&lt;br /&gt;
  i_gas_overlap_lw=4&lt;br /&gt;
 -!!i_gas_overlap_lw2=6&lt;br /&gt;
 +i_gas_overlap_lw2=4&lt;br /&gt;
  i_scatter_method_lw=5&lt;br /&gt;
 -!!i_scatter_method_lw2=1&lt;br /&gt;
 +i_scatter_method_lw2=5&lt;br /&gt;
  i_st_ice_lw=11&lt;br /&gt;
 -!!i_st_ice_lw2=8&lt;br /&gt;
 +i_st_ice_lw2=11&lt;br /&gt;
  i_st_water_lw=5&lt;br /&gt;
 -!!i_st_water_lw2=5&lt;br /&gt;
 +i_st_water_lw2=5&lt;br /&gt;
  l_cfc113_lw=.false.&lt;br /&gt;
 -!!l_cfc113_lw2=.false.&lt;br /&gt;
 +l_cfc113_lw2=.false.&lt;br /&gt;
  l_cfc114_lw=.false.&lt;br /&gt;
 -!!l_cfc114_lw2=.false.&lt;br /&gt;
 +l_cfc114_lw2=.false.&lt;br /&gt;
  l_cfc11_lw=.false.&lt;br /&gt;
 -!!l_cfc11_lw2=.false.&lt;br /&gt;
 +l_cfc11_lw2=.false.&lt;br /&gt;
  l_cfc12_lw=.true.&lt;br /&gt;
 -!!l_cfc12_lw2=.false.&lt;br /&gt;
 +l_cfc12_lw2=.true.&lt;br /&gt;
  l_ch4_lw=.true.&lt;br /&gt;
 -!!l_ch4_lw2=.false.&lt;br /&gt;
 +l_ch4_lw2=.true.&lt;br /&gt;
  l_co2_lw=.true.&lt;br /&gt;
 -!!l_co2_lw2=.true.&lt;br /&gt;
 +l_co2_lw2=.true.&lt;br /&gt;
  l_co_lw=.false.&lt;br /&gt;
 -!!l_co_lw2=.false.&lt;br /&gt;
 +l_co_lw2=.false.&lt;br /&gt;
  l_cs_lw=.false.&lt;br /&gt;
 -!!l_cs_lw2=.false.&lt;br /&gt;
 +l_cs_lw2=.false.&lt;br /&gt;
  l_extra_top_lw=.false.&lt;br /&gt;
 -!!l_extra_top_lw2=.false.&lt;br /&gt;
 +l_extra_top_lw2=.false.&lt;br /&gt;
  l_h2_lw=.false.&lt;br /&gt;
 -!!l_h2_lw2=.false.&lt;br /&gt;
 +l_h2_lw2=.false.&lt;br /&gt;
  l_hcfc22_lw=.false.&lt;br /&gt;
 -!!l_hcfc22_lw2=.false.&lt;br /&gt;
 +l_hcfc22_lw2=.false.&lt;br /&gt;
  l_he_lw=.false.&lt;br /&gt;
 -!!l_he_lw2=.false.&lt;br /&gt;
 +l_he_lw2=.false.&lt;br /&gt;
  l_hfc125_lw=.false.&lt;br /&gt;
 -!!l_hfc125_lw2=.false.&lt;br /&gt;
 +l_hfc125_lw2=.false.&lt;br /&gt;
  l_hfc134a_lw=.true.&lt;br /&gt;
 -!!l_hfc134a_lw2=.false.&lt;br /&gt;
 +l_hfc134a_lw2=.true.&lt;br /&gt;
  l_k_lw=.false.&lt;br /&gt;
 -!!l_k_lw2=.false.&lt;br /&gt;
 +l_k_lw2=.false.&lt;br /&gt;
  l_li_lw=.false.&lt;br /&gt;
 -!!l_li_lw2=.false.&lt;br /&gt;
 +l_li_lw2=.false.&lt;br /&gt;
  l_microphysics_lw=.true.&lt;br /&gt;
 -!!l_microphysics_lw2=.false.&lt;br /&gt;
 +l_microphysics_lw2=.true.&lt;br /&gt;
  l_n2o_lw=.true.&lt;br /&gt;
 -!!l_n2o_lw2=.false.&lt;br /&gt;
 +l_n2o_lw2=.true.&lt;br /&gt;
  l_na_lw=.false.&lt;br /&gt;
 -!!l_na_lw2=.false.&lt;br /&gt;
 +l_na_lw2=.false.&lt;br /&gt;
  l_nh3_lw=.false.&lt;br /&gt;
 -!!l_nh3_lw2=.false.&lt;br /&gt;
 +l_nh3_lw2=.false.&lt;br /&gt;
  l_rb_lw=.false.&lt;br /&gt;
 -!!l_rb_lw2=.false.&lt;br /&gt;
 +l_rb_lw2=.false.&lt;br /&gt;
  l_solar_tail_flux=.false.&lt;br /&gt;
 -!!l_solar_tail_flux_2=.false.&lt;br /&gt;
 +l_solar_tail_flux_2=.false.&lt;br /&gt;
  l_tio_lw=.false.&lt;br /&gt;
 -!!l_tio_lw2=.false.&lt;br /&gt;
 +l_tio_lw2=.false.&lt;br /&gt;
  l_vo_lw=.false.&lt;br /&gt;
 -!!l_vo_lw2=.false.&lt;br /&gt;
 +l_vo_lw2=.false.&lt;br /&gt;
  spectral_file_lw=&#039;sp_lw_ga7&#039;&lt;br /&gt;
 -!!spectral_file_lw2=&#039;&#039;&lt;br /&gt;
 +spectral_file_lw2=&#039;sp_lw_ga7&#039;&lt;br /&gt;
  &lt;br /&gt;
  [namelist:r2swclnl]&lt;br /&gt;
  i_cnv_ice_sw=8&lt;br /&gt;
 -!!i_cnv_ice_sw2=8&lt;br /&gt;
 +i_cnv_ice_sw2=8&lt;br /&gt;
  i_cnv_water_sw=5&lt;br /&gt;
 -!!i_cnv_water_sw2=5&lt;br /&gt;
 +i_cnv_water_sw2=5&lt;br /&gt;
  i_gas_overlap_sw=4&lt;br /&gt;
 -!!i_gas_overlap_sw2=5&lt;br /&gt;
 +i_gas_overlap_sw2=4&lt;br /&gt;
  i_st_ice_sw=11&lt;br /&gt;
 -!!i_st_ice_sw2=8&lt;br /&gt;
 +i_st_ice_sw2=11&lt;br /&gt;
  i_st_water_sw=5&lt;br /&gt;
 -!!i_st_water_sw2=5&lt;br /&gt;
 +i_st_water_sw2=5&lt;br /&gt;
  l_ch4_sw=.true.&lt;br /&gt;
 -!!l_ch4_sw2=.false.&lt;br /&gt;
 +l_ch4_sw2=.true.&lt;br /&gt;
  l_co2_sw=.true.&lt;br /&gt;
 -!!l_co2_sw2=.true.&lt;br /&gt;
 +l_co2_sw2=.true.&lt;br /&gt;
  l_co_sw=.false.&lt;br /&gt;
 -!!l_co_sw2=.false.&lt;br /&gt;
 +l_co_sw2=.false.&lt;br /&gt;
  l_cs_sw=.false.&lt;br /&gt;
 -!!l_cs_sw2=.false.&lt;br /&gt;
 +l_cs_sw2=.false.&lt;br /&gt;
  l_extra_top_sw=.false.&lt;br /&gt;
 -!!l_extra_top_sw2=.false.&lt;br /&gt;
 +l_extra_top_sw2=.false.&lt;br /&gt;
  l_h2_sw=.false.&lt;br /&gt;
 -!!l_h2_sw2=.false.&lt;br /&gt;
 +l_h2_sw2=.false.&lt;br /&gt;
  l_he_sw=.false.&lt;br /&gt;
 -!!l_he_sw2=.false.&lt;br /&gt;
 +l_he_sw2=.false.&lt;br /&gt;
  l_k_sw=.false.&lt;br /&gt;
 -!!l_k_sw2=.false.&lt;br /&gt;
 +l_k_sw2=.false.&lt;br /&gt;
  l_li_sw=.false.&lt;br /&gt;
 -!!l_li_sw2=.false.&lt;br /&gt;
 +l_li_sw2=.false.&lt;br /&gt;
  l_n2o_sw=.true.&lt;br /&gt;
 -!!l_n2o_sw2=.false.&lt;br /&gt;
 +l_n2o_sw2=.true.&lt;br /&gt;
  l_na_sw=.false.&lt;br /&gt;
 -!!l_na_sw2=.false.&lt;br /&gt;
 +l_na_sw2=.false.&lt;br /&gt;
  l_nh3_sw=.false.&lt;br /&gt;
 -!!l_nh3_sw2=.false.&lt;br /&gt;
 +l_nh3_sw2=.false.&lt;br /&gt;
  l_o2_sw=.true.&lt;br /&gt;
 -!!l_o2_sw2=.false.&lt;br /&gt;
 +l_o2_sw2=.true.&lt;br /&gt;
  l_rb_sw=.false.&lt;br /&gt;
 -!!l_rb_sw2=.false.&lt;br /&gt;
 +l_rb_sw2=.false.&lt;br /&gt;
  l_solvar_sw=.false.&lt;br /&gt;
 -!!l_solvar_sw2=.false.&lt;br /&gt;
 +l_solvar_sw2=.false.&lt;br /&gt;
  l_tio_sw=.false.&lt;br /&gt;
 -!!l_tio_sw2=.false.&lt;br /&gt;
 +l_tio_sw2=.false.&lt;br /&gt;
  l_vo_sw=.false.&lt;br /&gt;
 -!!l_vo_sw2=.false.&lt;br /&gt;
 +l_vo_sw2=.false.&lt;br /&gt;
  spectral_file_sw=&#039;sp_sw_ga7&#039;&lt;br /&gt;
 -!!spectral_file_sw2=&#039;&#039;&lt;br /&gt;
 +spectral_file_sw2=&#039;sp_sw_ga7&#039;&lt;br /&gt;
  &lt;br /&gt;
  [namelist:radfcdia]&lt;br /&gt;
 -!!c2c_aerosol=.false.&lt;br /&gt;
 -!!c2c_all=.false.&lt;br /&gt;
 -!!c2c_biog_d=.false.&lt;br /&gt;
 -!!c2c_bmb_d=.false.&lt;br /&gt;
 -!!c2c_c113=.false.&lt;br /&gt;
 -!!c2c_cfc11=.false.&lt;br /&gt;
 -!!c2c_cfc12=.false.&lt;br /&gt;
 -!!c2c_ch4=.false.&lt;br /&gt;
 -!!c2c_co2=.false.&lt;br /&gt;
 -!!c2c_dust_d=.false.&lt;br /&gt;
 -!!c2c_hcfc22=.false.&lt;br /&gt;
 -!!c2c_hfc125=.false.&lt;br /&gt;
 -!!c2c_hfc134=.false.&lt;br /&gt;
 -!!c2c_land_s=.false.&lt;br /&gt;
 -!!c2c_n2o=.false.&lt;br /&gt;
 -!!c2c_nitr_d=.false.&lt;br /&gt;
 -!!c2c_o3=.false.&lt;br /&gt;
 -!!c2c_ocff_d=.false.&lt;br /&gt;
 -!!c2c_seas_d=.false.&lt;br /&gt;
 -!!c2c_soot_d=.false.&lt;br /&gt;
 -!!c2c_sulpc_d=.false.&lt;br /&gt;
 -!!c2c_ukca_d=.false.&lt;br /&gt;
 -!!c2c_wmg=.false.&lt;br /&gt;
 +c2c_aer_diagcal=.true.&lt;br /&gt;
 +c2c_aerosol=.false.&lt;br /&gt;
 +c2c_all=.false.&lt;br /&gt;
 +c2c_biog_d=.false.&lt;br /&gt;
 +c2c_bmb_d=.false.&lt;br /&gt;
 +c2c_c113=.false.&lt;br /&gt;
 +c2c_cfc11=.false.&lt;br /&gt;
 +c2c_cfc12=.false.&lt;br /&gt;
 +c2c_ch4=.false.&lt;br /&gt;
 +c2c_co2=.false.&lt;br /&gt;
 +c2c_dust_d=.true.&lt;br /&gt;
 +c2c_hcfc22=.false.&lt;br /&gt;
 +c2c_hfc125=.false.&lt;br /&gt;
 +c2c_hfc134=.false.&lt;br /&gt;
 +c2c_land_s=.false.&lt;br /&gt;
 +c2c_n2o=.false.&lt;br /&gt;
 +c2c_nitr_d=.false.&lt;br /&gt;
 +c2c_o3=.false.&lt;br /&gt;
 +c2c_ocff_d=.false.&lt;br /&gt;
 +c2c_seas_d=.false.&lt;br /&gt;
 +c2c_soot_d=.false.&lt;br /&gt;
 +c2c_sulpc_d=.false.&lt;br /&gt;
 +c2c_ukca_d=.true.&lt;br /&gt;
 +c2c_ukca_i=.true.&lt;br /&gt;
 +c2c_wmg=.false.&lt;br /&gt;
  &lt;br /&gt;
  [namelist:recon]&lt;br /&gt;
  ainitial=&#039;$AINITIAL_N96&#039;&lt;br /&gt;
 @@ -3743,19 +3746,19 @@&lt;br /&gt;
  hfc125mmr=0.0&lt;br /&gt;
  hfc134ammr=0&lt;br /&gt;
  i_cloud_representation=2&lt;br /&gt;
 -!!i_cloud_representation_2=2&lt;br /&gt;
 +i_cloud_representation_2=2&lt;br /&gt;
  i_fsd=2&lt;br /&gt;
 -!!i_fsd_2=0&lt;br /&gt;
 +i_fsd_2=0&lt;br /&gt;
  i_inhom=2&lt;br /&gt;
 -!!i_inhom_2=0&lt;br /&gt;
 -!!i_lw_radstep_perday_diag=24&lt;br /&gt;
 +i_inhom_2=0&lt;br /&gt;
 +i_lw_radstep_perday_diag=24&lt;br /&gt;
  i_lw_radstep_perday_prog=24&lt;br /&gt;
  i_overlap=3&lt;br /&gt;
 -!!i_overlap_2=0&lt;br /&gt;
 +i_overlap_2=0&lt;br /&gt;
  i_ozone_int=2&lt;br /&gt;
 -i_rad_extra_call=0&lt;br /&gt;
 +i_rad_extra_call=1&lt;br /&gt;
  i_rad_topography=2&lt;br /&gt;
 -!!i_sw_radstep_perday_diag=24&lt;br /&gt;
 +i_sw_radstep_perday_diag=24&lt;br /&gt;
  i_sw_radstep_perday_prog=24&lt;br /&gt;
  inhom_cloud_lw=0&lt;br /&gt;
  inhom_cloud_sw=0&lt;br /&gt;
 @@ -4078,6 +4081,54 @@&lt;br /&gt;
  ukcacrsw=&#039;$UMDIR/vn$VN/ctldata/UKCA/radaer/nml_cr_sw&#039;&lt;br /&gt;
  ukcaprec=&#039;$UMDIR/vn$VN/ctldata/spectral/ga7/RADAER_pcalc.ukca&#039;&lt;br /&gt;
  &lt;br /&gt;
 +[namelist:streq(1)]&lt;br /&gt;
 +dom_name=&#039;DIAGAOT&#039;&lt;br /&gt;
 +isec=2&lt;br /&gt;
 +item=500&lt;br /&gt;
 +package=&#039;&#039;&lt;br /&gt;
 +tim_name=&#039;TDMN_RAD&#039;&lt;br /&gt;
 +use_name=&#039;UPK&#039;&lt;br /&gt;
 +&lt;br /&gt;
 +[namelist:streq(2)]&lt;br /&gt;
 +dom_name=&#039;DIAGAOT&#039;&lt;br /&gt;
 +isec=2&lt;br /&gt;
 +item=501&lt;br /&gt;
 +package=&#039;&#039;&lt;br /&gt;
 +tim_name=&#039;TDMN_RAD&#039;&lt;br /&gt;
 +use_name=&#039;UPK&#039;&lt;br /&gt;
 +&lt;br /&gt;
 +[namelist:streq(3)]&lt;br /&gt;
 +dom_name=&#039;DIAGAOT&#039;&lt;br /&gt;
 +isec=2&lt;br /&gt;
 +item=502&lt;br /&gt;
 +package=&#039;&#039;&lt;br /&gt;
 +tim_name=&#039;TDMN_RAD&#039;&lt;br /&gt;
 +use_name=&#039;UPK&#039;&lt;br /&gt;
 +&lt;br /&gt;
 +[namelist:streq(4)]&lt;br /&gt;
 +dom_name=&#039;DIAGAOT&#039;&lt;br /&gt;
 +isec=2&lt;br /&gt;
 +item=503&lt;br /&gt;
 +package=&#039;&#039;&lt;br /&gt;
 +tim_name=&#039;TDMN_RAD&#039;&lt;br /&gt;
 +use_name=&#039;UPK&#039;&lt;br /&gt;
 +&lt;br /&gt;
 +[namelist:streq(5)]&lt;br /&gt;
 +dom_name=&#039;DIAGAOT&#039;&lt;br /&gt;
 +isec=2&lt;br /&gt;
 +item=504&lt;br /&gt;
 +package=&#039;&#039;&lt;br /&gt;
 +tim_name=&#039;TDMN_RAD&#039;&lt;br /&gt;
 +use_name=&#039;UPK&#039;&lt;br /&gt;
 +&lt;br /&gt;
 +[namelist:streq(6)]&lt;br /&gt;
 +dom_name=&#039;DIAGAOT&#039;&lt;br /&gt;
 +isec=2&lt;br /&gt;
 +item=505&lt;br /&gt;
 +package=&#039;&#039;&lt;br /&gt;
 +tim_name=&#039;TDMN_RAD&#039;&lt;br /&gt;
 +use_name=&#039;UPK&#039;&lt;br /&gt;
 +&lt;br /&gt;
  [namelist:streq(00687592)]&lt;br /&gt;
  dom_name=&#039;DALLTH&#039;&lt;br /&gt;
  isec=38&lt;br /&gt;
 @@ -4966,6 +5017,14 @@&lt;br /&gt;
  tim_name=&#039;T6HDAYM&#039;&lt;br /&gt;
  use_name=&#039;UPB&#039;&lt;br /&gt;
  &lt;br /&gt;
 +[namelist:streq(1fdb379b)]&lt;br /&gt;
 +dom_name=&#039;DIAG&#039;&lt;br /&gt;
 +isec=1&lt;br /&gt;
 +item=409&lt;br /&gt;
 +package=&#039;&#039;&lt;br /&gt;
 +tim_name=&#039;TDMN_RAD&#039;&lt;br /&gt;
 +use_name=&#039;UPK&#039;&lt;br /&gt;
 +&lt;br /&gt;
  [namelist:streq(200da117)]&lt;br /&gt;
  dom_name=&#039;DIAG&#039;&lt;br /&gt;
  isec=1&lt;br /&gt;
 @@ -6494,6 +6553,14 @@&lt;br /&gt;
  tim_name=&#039;TDMPMN&#039;&lt;br /&gt;
  use_name=&#039;UPMEAN&#039;&lt;br /&gt;
  &lt;br /&gt;
 +[namelist:streq(5f71be2b)]&lt;br /&gt;
 +dom_name=&#039;DIAG&#039;&lt;br /&gt;
 +isec=2&lt;br /&gt;
 +item=406&lt;br /&gt;
 +package=&#039;&#039;&lt;br /&gt;
 +tim_name=&#039;TDMN_RAD&#039;&lt;br /&gt;
 +use_name=&#039;UPK&#039;&lt;br /&gt;
 +&lt;br /&gt;
  [namelist:streq(5fb62131)]&lt;br /&gt;
  dom_name=&#039;DP36CCMZ&#039;&lt;br /&gt;
  isec=6&lt;br /&gt;
 @@ -7790,6 +7857,14 @@&lt;br /&gt;
  tim_name=&#039;TDMPMN&#039;&lt;br /&gt;
  use_name=&#039;UPMEAN&#039;&lt;br /&gt;
  &lt;br /&gt;
 +[namelist:streq(989fcb6a)]&lt;br /&gt;
 +dom_name=&#039;DIAG&#039;&lt;br /&gt;
 +isec=2&lt;br /&gt;
 +item=206&lt;br /&gt;
 +package=&#039;&#039;&lt;br /&gt;
 +tim_name=&#039;TDMN_RAD&#039;&lt;br /&gt;
 +use_name=&#039;UPK&#039;&lt;br /&gt;
 +&lt;br /&gt;
  [namelist:streq(98ace802)]&lt;br /&gt;
  dom_name=&#039;DIAG&#039;&lt;br /&gt;
  isec=2&lt;br /&gt;
 @@ -8750,6 +8825,14 @@&lt;br /&gt;
  tim_name=&#039;TMPMN00&#039;&lt;br /&gt;
  use_name=&#039;UPMEAN&#039;&lt;br /&gt;
  &lt;br /&gt;
 +[namelist:streq(c305ce49)]&lt;br /&gt;
 +dom_name=&#039;DIAG&#039;&lt;br /&gt;
 +isec=1&lt;br /&gt;
 +item=209&lt;br /&gt;
 +package=&#039;&#039;&lt;br /&gt;
 +tim_name=&#039;TDMN_RAD&#039;&lt;br /&gt;
 +use_name=&#039;UPK&#039;&lt;br /&gt;
 +&lt;br /&gt;
  [namelist:streq(c320ea17)]&lt;br /&gt;
  dom_name=&#039;DIAG&#039;&lt;br /&gt;
  isec=2&lt;br /&gt;
 @@ -10586,6 +10669,25 @@&lt;br /&gt;
  !!unt2=2&lt;br /&gt;
  unt3=2&lt;br /&gt;
  &lt;br /&gt;
 +[namelist:time(a8072e80)]&lt;br /&gt;
 +!!iedt=0&lt;br /&gt;
 +iend=-1&lt;br /&gt;
 +ifre=1&lt;br /&gt;
 +intv=1&lt;br /&gt;
 +ioff=0&lt;br /&gt;
 +iopt=1&lt;br /&gt;
 +isam=3&lt;br /&gt;
 +!!isdt=0&lt;br /&gt;
 +!!iser=0&lt;br /&gt;
 +istr=1&lt;br /&gt;
 +!!itimes=0&lt;br /&gt;
 +ityp=3&lt;br /&gt;
 +!!lts0=.false.&lt;br /&gt;
 +tim_name=&#039;TDMN_RAD&#039;&lt;br /&gt;
 +unt1=3&lt;br /&gt;
 +unt2=1&lt;br /&gt;
 +unt3=3&lt;br /&gt;
 +&lt;br /&gt;
  [namelist:time(c34e59a7)]&lt;br /&gt;
  !!iedt=0&lt;br /&gt;
  iend=-1&lt;br /&gt;
 Index: app/fcm_make_um/rose-app.conf&lt;br /&gt;
 ===================================================================&lt;br /&gt;
 --- app/fcm_make_um/rose-app.conf	(revision 28651)&lt;br /&gt;
 +++ app/fcm_make_um/rose-app.conf	(revision 28652)&lt;br /&gt;
 @@ -45,4 +45,4 @@&lt;br /&gt;
  stash_version=1A&lt;br /&gt;
  timer_version=3A&lt;br /&gt;
  um_rev=vn10.4&lt;br /&gt;
 -um_sources=branches/dev/mohitdalvi/vn10.4_scale_lightning_nox@19623 branches/dev/stevenhardiman/vn10.4_ukca_tropopause_amendment@19627 branches/dev/alistairsellar/vn10.4_no_expvolc_so2@19808 branches/dev/marcuskoehler/vn10.4_ukca_fix_glomap_climatol_surfarea@24038&lt;br /&gt;
 +um_sources=branches/dev/mohitdalvi/vn10.4_scale_lightning_nox@19623 branches/dev/stevenhardiman/vn10.4_ukca_tropopause_amendment@19627 branches/dev/alistairsellar/vn10.4_no_expvolc_so2@19808 branches/dev/marcuskoehler/vn10.4_ukca_fix_glomap_climatol_surfarea@24038 branches/dev/grahammann/vn10.4_updates_for_dblcalaerforc@32452&lt;br /&gt;
 Index: rose-suite.conf&lt;br /&gt;
 ===================================================================&lt;br /&gt;
 --- rose-suite.conf	(revision 28651)&lt;br /&gt;
 +++ rose-suite.conf	(revision 28652)&lt;br /&gt;
 @@ -2,7 +2,7 @@&lt;br /&gt;
  !!ACCOUNT_USR=&#039;foundation&#039;&lt;br /&gt;
  ANCIL_OPT_KEYS=&#039;&#039;&lt;br /&gt;
  ARCHER_GROUP=&#039;n02-training&#039;&lt;br /&gt;
 -ARCHER_QUEUE=&#039;short&#039;&lt;br /&gt;
 +ARCHER_QUEUE=&#039;standard&#039;&lt;br /&gt;
  !!ARCH_LOG=true&lt;br /&gt;
  !!ARCH_WALL=true&lt;br /&gt;
  ATM_PPN=24&lt;br /&gt;
&lt;br /&gt;
These can also be found on PUMA here (including the STASHmaster_A changes):&lt;br /&gt;
&lt;br /&gt;
 /home/ukca/Tutorial/worked_solutions/Task12.2/task12.2.rose.diff&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&#039;&#039;Written by [[User:Gmann | Graham Mann]] 2016&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5764</id>
		<title>UKCA Chemistry and Aerosol vn10.4 Tutorial 12</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5764"/>
		<updated>2017-01-06T19:54:48Z</updated>

		<summary type="html">&lt;p&gt;Gmann: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[UKCA Chemistry and Aerosol Tutorials at vn10.4]]&lt;br /&gt;
&lt;br /&gt;
==What you will learn in this Tutorial==&lt;br /&gt;
&lt;br /&gt;
In this tutorial you will learn about how to quantify the radiative effects of aerosol&lt;br /&gt;
simulated by GLOMAP-mode in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
In the first task you will update your copy of the UKCA tutorial job to request radiative&lt;br /&gt;
fluxes allowing the radiative flux perturbation (or effective radiative forcing) to be&lt;br /&gt;
diagnosed based on difference in the fluxes between a pair of UM-UKCA jobs with some&lt;br /&gt;
difference (e.g. pre-industrial and present-day emissions jobs).&lt;br /&gt;
&lt;br /&gt;
The second task involves configuring a copy of the UKCA tutorial job to run in&lt;br /&gt;
&#039;&#039;double-call configuration&#039;&#039; whereby the aerosol radiative effects can be diagnosed&lt;br /&gt;
at each radiation timestep.&lt;br /&gt;
&lt;br /&gt;
==Task 12.1: Update your copy of the UKCA tutorial job to diagnose Top Of the Atmosphere (TOA) radiative fluxes==&lt;br /&gt;
&lt;br /&gt;
In this task you will add STASH requests for SW and LW outgoing radiative fluxes at&lt;br /&gt;
the top of the atmosphere to enable the radiative forcing from a particular change to be diagnosed.&lt;br /&gt;
&lt;br /&gt;
The user should note however that to illustrate the task we are adding these requests to&lt;br /&gt;
the UKCA tutorial job which is just a 1-day simulation.&lt;br /&gt;
&lt;br /&gt;
One would need to average the flux-difference between the pair of simulations over an&lt;br /&gt;
appropriate timescale (e.g. multi-annual monthly-means) in order to diagnose an&lt;br /&gt;
effective radiative forcing appropriately.&lt;br /&gt;
&lt;br /&gt;
Noting the above caveat, proceed and add daily-mean STASH requests for section 1 item 208&lt;br /&gt;
(all-sky outgoing short wave flux at the top-of-the-atmosphere) and section 2 item 205&lt;br /&gt;
(all-sky outgoing long wave flux at the top-of-the-atmosphere) to the updated copy of the     &lt;br /&gt;
UKCA tutorial suite you produced in Task 10 after adding AOD and OM diags (the&lt;br /&gt;
reference job for this is u-ai830).&lt;br /&gt;
&lt;br /&gt;
The radiative fluxes are 2-dimensional diagnostics (longitude by latitude) so you should&lt;br /&gt;
use the DIAG domain profile in this case. For daily-means use the TDAYM time profile.&lt;br /&gt;
Again, since we require the daily-mean fluxes to be output to the .pa file you should&lt;br /&gt;
request the diagnostics with the UPK usage profile.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows the daily-mean SW and LW all-sky TOA radiative flux &lt;br /&gt;
fields from the UKCA tutorial job for 1st September 1999 (produced by&lt;br /&gt;
gmann job u-ai902, which updated from u-ai830 by adding in the requests).&lt;br /&gt;
&lt;br /&gt;
[[File:ai902_SWandLWallskyTOAfluxes.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Example Output===&lt;br /&gt;
&lt;br /&gt;
Example output for Task12.1 can be found on ARCHER in the following directory:&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.1&lt;br /&gt;
&lt;br /&gt;
==Task 12.2 Configure the UKCA tutorial job to run as a &#039;&#039;double-call&#039;&#039; job diagnosing aerosol radiative effects==&lt;br /&gt;
&lt;br /&gt;
In this task you will copy the copy of the standard tutorial job you used in Task 12.1&lt;br /&gt;
(&amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai902&#039;&#039;&#039;&amp;lt;/code&amp;gt;)&lt;br /&gt;
and configure it to run with &#039;&#039;double-call&#039;&#039; to the radiation scheme to diagnose the radiative&lt;br /&gt;
effects of the aerosol simulated by GLOMAP in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
The UM has been coded to allow the user to diagnose radiative effects of a particular&lt;br /&gt;
forcing agent by calling the radiation scheme twice with one of the calls setting the&lt;br /&gt;
agent&#039;s concentration to zero. Special &#039;&#039;forcing&#039;&#039; STASH items are included within the&lt;br /&gt;
UM which store the difference in the radiative fluxes between the two radiation calls.&lt;br /&gt;
&lt;br /&gt;
In the um &#039;&#039;app&#039;&#039; in the Rose GUI go to namelist --&amp;gt; UM Science Settings&lt;br /&gt;
and then choose &#039;&#039;Section 1 - 2: Radiation&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
In the &#039;&#039;General Options&#039;&#039; panel, you see that at the top there is an&lt;br /&gt;
&#039;&#039;i_rad_extra_call&#039;&#039; &amp;quot;Options for multiple calls to radiation&amp;quot; button-selector.&lt;br /&gt;
&lt;br /&gt;
The UKCA tutorial job is set to &amp;quot;Single call&amp;quot; which is the standard way of running the UM&lt;br /&gt;
with a single call to the radiation scheme every radiation timestep (here one hour).&lt;br /&gt;
You see there is a 2nd option there to select &amp;quot;Diagnose radiative forcings&amp;quot;.&lt;br /&gt;
Selecting this option activates the &#039;&#039;double-call&#039;&#039; approach where the radiation scheme&lt;br /&gt;
is called twice on each radiation timestep once with the forcing agent and&lt;br /&gt;
once without it.&lt;br /&gt;
&lt;br /&gt;
With this option, the idea is that the user can then isolate the difference in&lt;br /&gt;
the radiative fluxes (i.e. the forcing) due to a particular forcing agent of&lt;br /&gt;
interest. There are a host of additional settings that become available when&lt;br /&gt;
you select this option setting exactly which forcings to isolate via the&lt;br /&gt;
difference between the main call and the 2nd call.&lt;br /&gt;
&lt;br /&gt;
The default approach, for this &#039;&#039;Diagnose radiative forcings&#039;&#039; option, involves&lt;br /&gt;
the model diagnosing the radiative forcing based on the flux-difference being&lt;br /&gt;
between the &#039;&#039;advancing call&#039;&#039; including the radiative effects of the forcing&lt;br /&gt;
agent (as usual), and the 2nd &#039;&#039;diagnostic call&#039;&#039; to the radiation setting&lt;br /&gt;
that species&#039; concentration to zero (or not including its effects in the&lt;br /&gt;
radiative transfer calculations).&lt;br /&gt;
&lt;br /&gt;
These additional settings for the diagnostic call are set in three of the&lt;br /&gt;
sub-panels of this &#039;&#039;Section 1 - 2: Radiation&#039;&#039; part of the Rose GUI.&lt;br /&gt;
First it can be seen that there are &amp;quot;SW second call&amp;quot; and &amp;quot;LW second call&amp;quot;&lt;br /&gt;
panels that become active.  There is also a separate &#039;&#039;Diagnostic forcing&#039;&#039;&lt;br /&gt;
panel for setting the precise arrangement for this second call to the&lt;br /&gt;
radiation. In this separate panel it is possible to individually (or multiply)&lt;br /&gt;
select the CLASSIC aerosol types to diagnose their radiative effects.&lt;br /&gt;
For GLOMAP-mode it&#039;s different in that it only makes sense to diagnose the&lt;br /&gt;
effects over all the types considered since the different types are often internally&lt;br /&gt;
mixed within each size class.  The user will likely only want to run these&lt;br /&gt;
effects when the settings in the second radiation call match exactly with&lt;br /&gt;
those in the first radiation call (so that the difference then indicates&lt;br /&gt;
the forcing due to the forcing agent of interest rather than any difference&lt;br /&gt;
in settings). If particular experiments are planned, as usual it is recommended&lt;br /&gt;
to discuss with the relevant expert(s) within NCAS or the Met Office.&lt;br /&gt;
&lt;br /&gt;
As explained above, the default UM setting for the double-call is to set&lt;br /&gt;
the species mixing ratio to zero in the diagnostic call with the&lt;br /&gt;
difference then including any fast feedbacks from the forcing agent&lt;br /&gt;
in the advancing call. However, it is often very useful to be able to&lt;br /&gt;
suppress the fast feedbacks from the forcing agent in question by&lt;br /&gt;
reversing the operation of the double-call including the aerosol&lt;br /&gt;
radiative effects only in the diagnostic call&lt;br /&gt;
and setting the species mixing ratio to zero in the advancing call.&lt;br /&gt;
&lt;br /&gt;
With this &#039;&#039;diagnostic double-call radiative forcing&#039;&#039; configuration,&lt;br /&gt;
the difference in radiative fluxes between the two calls then&lt;br /&gt;
provides the aerosol radiative perturbation with respect to an&lt;br /&gt;
atmosphere containing no aerosols. For example, one can diagnose the &lt;br /&gt;
present-day to pre-industrial aerosol radiative forcing by taking the &lt;br /&gt;
difference between two parallel diagnostic-double-call simulations with &lt;br /&gt;
aerosol and precursor emissions set to 1850 and 2000. As long as&lt;br /&gt;
other forcing agents, such as greenhouse gases or land-use change, &lt;br /&gt;
remain fixed at a reference time period, the meteorology should&lt;br /&gt;
then be identical in the two runs, giving a radiative forcing &lt;br /&gt;
signal &amp;quot;clean&amp;quot; from the different transport arising from the&lt;br /&gt;
dynamical response to the aerosol radiative effects.&lt;br /&gt;
&lt;br /&gt;
Often nudging to meteorological re-analysis winds and temperatures is applied in tandem with the double-call configuration&lt;br /&gt;
in which case the composition-climate model is being run in a similar way to an offline chemistry-transport model.&lt;br /&gt;
This approach has been used extensively in aerosol forcing intercomparisons (e.g. the AeroCom direct forcing&lt;br /&gt;
experiments, Myhre et al., 2013, ACP) with the radiative forcings diagnosed from each model with fast feedbacks&lt;br /&gt;
disabled.&lt;br /&gt;
&lt;br /&gt;
Unfortunately, this &#039;&#039;diagnostic double-call&#039;&#039; configuration is not one of&lt;br /&gt;
the supported configurations of the v10.4 release job. As a consequence,&lt;br /&gt;
to run UM-UKCA with this configuration, you will need to add an&lt;br /&gt;
extra FCM branch to the job and also modify the metadata in the&lt;br /&gt;
the Rose GUI to enable the option to run configured in this way.&lt;br /&gt;
&lt;br /&gt;
First add the branch. In the fcm_make_um &#039;&#039;app&#039;&#039; go to &#039;&#039;env&#039;&#039; and&lt;br /&gt;
then &#039;&#039;Sources&#039;&#039;.  There you should add an extra entry to add-in the&lt;br /&gt;
code-changes from revision 32452 of the following FCM branch:&lt;br /&gt;
&lt;br /&gt;
branches/dev/grahammann/vn10.4_updates_for_dblcalaerforc@32452&lt;br /&gt;
&lt;br /&gt;
The code added in that branch applies a new switch C2C_AER_DIAGCAL&lt;br /&gt;
which controls whether the setting of the forcing agent to zero is&lt;br /&gt;
applied on the advancing call (C2C_AER_DIAGCAL is .TRUE.) or&lt;br /&gt;
to retain the standard operation of the double-call where the aerosol&lt;br /&gt;
is included in the advancing call but set to zero in the diagnostic&lt;br /&gt;
call (C2C_AER_DIAGCAL is .FALSE).&lt;br /&gt;
&lt;br /&gt;
We need to use new metadata to enable this switch -- and also to&lt;br /&gt;
add in a new switch C2C_UKCA_I which controls whether the GLOMAP&lt;br /&gt;
indirect effects are included or not.&lt;br /&gt;
&lt;br /&gt;
Just like in the last task, this requires to point the Rose GUI&lt;br /&gt;
to a new rose-meta.conf file within a separate directory outside&lt;br /&gt;
the FCM branch.&lt;br /&gt;
&lt;br /&gt;
In the Rose GUI click on the &#039;&#039;um&#039;&#039; word and you&#039;ll see that&lt;br /&gt;
there is already a separate metadata file specified in that&lt;br /&gt;
job which is set to point to:&lt;br /&gt;
&lt;br /&gt;
/home/grenville/meta/ga7_vn10.4&lt;br /&gt;
&lt;br /&gt;
I have prepared a modified version of this that enables the extra&lt;br /&gt;
C2C_AER_DIAGCAL and C2C_UKCA_I switches to be selected in the Rose GUI.&lt;br /&gt;
So change the file path to instead point to this one:&lt;br /&gt;
&lt;br /&gt;
/home/gmann/meta/ga7_vn10.4_dblcalaerforc&lt;br /&gt;
&lt;br /&gt;
After you have done this, there will be 2 additional buttons&lt;br /&gt;
available in the &#039;&#039;Diagnostic forcing&#039;&#039; panel to allow the user&lt;br /&gt;
to specify the C2C_AER_DIAGCAL and C2C_UKCA_I switches to be&lt;br /&gt;
true or false.&lt;br /&gt;
&lt;br /&gt;
We want to use this diagnostic double call configuration and we want to&lt;br /&gt;
have the forcing be including both the direct and indirect effects&lt;br /&gt;
from the GLOMAP aerosol -- so set C2C_UKCA_D and C2C_UKCA_I to&lt;br /&gt;
be .TRUE.  You should also set the C2C_DUST_D switch to be true&lt;br /&gt;
so that the model is then calculating the overall aerosol&lt;br /&gt;
radiative effects (including both aerosol direct and indirect&lt;br /&gt;
effects with the aerosol consisting of the total of the 6 CLASSIC&lt;br /&gt;
dust bins plus the GLOMAP aerosol modes).  All the other C2C&lt;br /&gt;
switches in that panel should be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
You will also need to update your job to make sure all the settings&lt;br /&gt;
for the diagnostic call so that they match those set for the prognostic&lt;br /&gt;
call (in terms of the methods for cloud water content variability,&lt;br /&gt;
overlapping clouds, and which other forcing agents are interacting (or not).&lt;br /&gt;
&lt;br /&gt;
To check this you should compare the &amp;quot;SW main call&amp;quot; and&lt;br /&gt;
&amp;quot;SW second call&amp;quot; windows and the &amp;quot;LW main call&amp;quot; and the&lt;br /&gt;
&amp;quot;LW second call&amp;quot; panels.&lt;br /&gt;
&lt;br /&gt;
Firstly you need to add the &#039;&#039;spectral file&#039;&#039; name in both second call&lt;br /&gt;
to match that used in the main call -- see the spectral files used are&lt;br /&gt;
sp_sw_ga7 for the shortwave and sp_lw_ga7 for the longwave.&lt;br /&gt;
&lt;br /&gt;
Next, select the Shortwave panel and &amp;quot;Number of times per day for full SW&lt;br /&gt;
radiation calls&amp;quot; is set to 24, which means the radiation scheme is called&lt;br /&gt;
every hour. The contrasts with the actual model timestep which is set at&lt;br /&gt;
20 minutes (see Top Level Model Control --&amp;gt; Model Domain and Timestep).&lt;br /&gt;
In our double-call case, at every radiation timestep, we want there to&lt;br /&gt;
be two calls. In other words the frequency for the second SW call needs&lt;br /&gt;
to be set to match that in the full radiation call. It might seem the&lt;br /&gt;
user would always want the two to match, but it turns out that in the so-called&lt;br /&gt;
&#039;&#039;single-call timestepping&#039;&#039; configuration, this 2nd call is used to enable&lt;br /&gt;
to call the radiation scheme more frequently but with a reduced operation&lt;br /&gt;
of the radiation interactions (for details see Manners et al., QJRMS 2009).&lt;br /&gt;
That&#039;s why the first call is referred to as a full call (because in the&lt;br /&gt;
single-call timestepping configuration the second call is a reduced one.&lt;br /&gt;
But in our double-call case, the second call is also full and we are&lt;br /&gt;
diagnosing (on each radiation timestep) the difference to isolate the&lt;br /&gt;
effects from the forcing agent of interest.&lt;br /&gt;
&lt;br /&gt;
For the Longwave panel, also set the frequency to 24 per day for both.&lt;br /&gt;
&lt;br /&gt;
All that remains then is to add in the extra STASH requests for the&lt;br /&gt;
double-call forcing diagnostics which give the &amp;quot;increment&amp;quot; (flux-difference)&lt;br /&gt;
between the two calls and to note a change to the way the AOD diagnostics&lt;br /&gt;
operate.&lt;br /&gt;
&lt;br /&gt;
The approach taken to index the STASH numbers for the radiative forcing items (the flux-difference between&lt;br /&gt;
the two radiation calls) is to apply an offset of +200 to the item number to the corresponding item for&lt;br /&gt;
the conventional radiative fluxes.&lt;br /&gt;
&lt;br /&gt;
In task 12.1 we added STASH requests for the all-sky TOA outgoing SW and LW radiative fluxes which are&lt;br /&gt;
referenced in STASH as section 1 item 208 and section 2 item 205.&lt;br /&gt;
&lt;br /&gt;
To request the all-sky TOA outgoing SW and LW radiative forcings (between the two radiation calls) the&lt;br /&gt;
corresponding item numbers are section 1 item 408 and section 2 item 405.  Unfortunately however,&lt;br /&gt;
at UM v8.4, section 2 item 405 is not available from the UMUI.  In this task we will therefore request&lt;br /&gt;
instead the clear-sky TOA outgoing SW and LW radiative forcing diagnostics (section 1 item 409 and&lt;br /&gt;
section 2 item 406).  Note also that one needs to request both the radiation flux and radiation forcing&lt;br /&gt;
diagnostic in these runs so you should add 4 daily-mean STASH requests for section 1 items 209 and 409&lt;br /&gt;
and section 2 items 206 and 406.&lt;br /&gt;
&lt;br /&gt;
Go to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add the daily-mean (TDAYM)&lt;br /&gt;
requests for both of these flux-forcing pairs of diagnostics. As in Task 10.1, the domain profile&lt;br /&gt;
should be set as DIAG and the usage profile as UPK. Note however that the TDAYM&lt;br /&gt;
time profile is set to sample from the diagnostics on every timestep, whereas in&lt;br /&gt;
fact these forcing diagnostics are only defined on radiation timesteps.&lt;br /&gt;
As a consequence, we need to make up a new time profile &#039;&#039;TDMN_RAD&#039;&#039; which&lt;br /&gt;
samples every 3 timesteps (on radiation timesteps)) instead of on every&lt;br /&gt;
timestep.  To do this requires to go to &#039;&#039;STASH requests and Profiles&#039;&#039; and&lt;br /&gt;
select &#039;&#039;Time Profiles&#039;&#039;. Again, this is quite an intimidating panel of data,&lt;br /&gt;
but actually it gives the UM a great deal of flexibility to sample diagnostics&lt;br /&gt;
during runtime in a myriad of different ways.  Here we want to take a copy of&lt;br /&gt;
the existing TDAYM &#039;&#039;time profile&#039;&#039; (which calculated daily-means based on&lt;br /&gt;
the average of values on every timestep) and instead change it to only sample&lt;br /&gt;
the data every hour (ignoring the values on the other timesteps). You see&lt;br /&gt;
there is a column in the Table entitled &#039;&#039;tim_name&#039;&#039; -- this should really be&lt;br /&gt;
the first column of data because it tells you what the name of the profile is.&lt;br /&gt;
You see there are profiles such as TDAYMAX -- that takes the maximum value&lt;br /&gt;
over the day (useful for example in air quality applications for diagnosing&lt;br /&gt;
exceedance days) and other useful ways of storing some statistics on the data&lt;br /&gt;
as it is running. This flexibility does potentially make it seem difficult&lt;br /&gt;
to understand. You can get an idea of what each time profile does by noting&lt;br /&gt;
its index in the far left column. This number will be in the list underneath.&lt;br /&gt;
For example the TDAYMAX time profile has the code 3ffa377f. When you then&lt;br /&gt;
click on that code underneath a panel appears explaining exactly what it does.&lt;br /&gt;
In our case, we want to take a copy of the TDAYM profile. This is done by&lt;br /&gt;
right-clicking on the word &#039;&#039;TDAYM&#039;&#039; in the &#039;&#039;tim_name column&#039;&#039; and then&lt;br /&gt;
selecting &#039;&#039;Clone this section&#039;&#039;.  It&#039;s confusing because the word &#039;&#039;section&#039;&#039;&lt;br /&gt;
is not really correct here -- it should say &#039;&#039;profile&#039;&#039; not &#039;&#039;section&#039;&#039;.&lt;br /&gt;
Still, you know what it means. When you do that it generates a copy of the&lt;br /&gt;
TDAYM and you should change that name to &#039;&#039;TDMN_RAD&#039;&#039; and then change the&lt;br /&gt;
specified frequency of &#039;&#039;isam&#039;&#039; (&amp;quot;Specify the sampling period (frequency)&amp;quot;)&lt;br /&gt;
to be 3 instead of 1. See it says underneath that the &#039;&#039;units&#039;&#039; for the&lt;br /&gt;
sampling period are set as &#039;&#039;timesteps&#039;&#039;. So we&#039;re changing the sampling&lt;br /&gt;
frequency from once every timestep to once every three timesteps.&lt;br /&gt;
Once this is done, it&#039;s just a case of saving the profile and requesting&lt;br /&gt;
these double-call radiation diags (1-209, 1-409, 2-206, 2-406) with&lt;br /&gt;
TDMN_RAD, DIAG and UPK.&lt;br /&gt;
&lt;br /&gt;
Since we have set C2C_AER_DIAGCAL to be .TRUE., when the model runs it will&lt;br /&gt;
be settings the GLOMAP aerosol to zero in the advancing call. So&lt;br /&gt;
the conventional AOD diagnostics introduced in tutorial 10 (section 2 items&lt;br /&gt;
300 to 305) will now contain zero values when the model is run.&lt;br /&gt;
&lt;br /&gt;
The UM therefore has a second set of AOD diagnostics giving the aerosol&lt;br /&gt;
optical depth as calculated in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The approach for the double-call AOD diagnostics is the same as for the&lt;br /&gt;
forcing diags, i.e. to apply an offset of +200 to the item number to&lt;br /&gt;
find the corresponding AOD item in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The double-call GLOMAP AOD diagnostics are therefore found in section 2&lt;br /&gt;
items 500 to 505. I have added these extra STASH items to the modified&lt;br /&gt;
STASHmaster_A in the ~gmann/meta/ga7_vn10.4_dblcalaerforc directory&lt;br /&gt;
that the job is pointing to, so those double-call GLOMAP AODs&lt;br /&gt;
will be available to select in the Rose GUI. Again, request these&lt;br /&gt;
with the TDMN_RAD time profile, usage profile UPK&lt;br /&gt;
and (this time) use domain profile DIAG_AOT (which specifies that&lt;br /&gt;
6 pseudo-levels are required for the 6 wavelengths the AODs are&lt;br /&gt;
calculated for).&lt;br /&gt;
&lt;br /&gt;
The simulation will then output daily-mean SW and LW clear-sky forcings&lt;br /&gt;
and double-call AOD diagnostics to the .pk file for your v10.4 UM-UKCA job.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows daily-mean TOA SW-clearsky and LW-clearsky radiative&lt;br /&gt;
effect fields for the double-call-modified version of the UKCA tutorial&lt;br /&gt;
(gmann job u-ai978).&lt;br /&gt;
&lt;br /&gt;
[[File:idl_dailyTOAradforcings_SWclearsky_LWclearsky_xkwhi.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Worked Solution===&lt;br /&gt;
&lt;br /&gt;
A worked solution to Task 12.2 can be found in job &amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai978&#039;&#039;&#039;&amp;lt;/code&amp;gt;.&lt;br /&gt;
Sample output from a copy of this job can be found on ARCHER in the directory&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Written by [[User:Gmann | Graham Mann]] 2016&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_11&amp;diff=5740</id>
		<title>UKCA Chemistry and Aerosol vn10.4 Tutorial 11</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_11&amp;diff=5740"/>
		<updated>2017-01-06T13:47:13Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* Task 11.3 Examine the simulated total organic carbon in the original and two-cpt OM configurations */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[UKCA Chemistry and Aerosol Tutorials at vn10.4]]&lt;br /&gt;
&lt;br /&gt;
[[UKCA Chemistry and Aerosol vn10.4 Tutorial 12|Tutorial 12]]&lt;br /&gt;
&lt;br /&gt;
[[UKCA Chemistry and Aerosol Tutorials | Back to UKCA Chemistry and Aerosol Tutorials]]&lt;br /&gt;
&lt;br /&gt;
==What you will learn in this Tutorial==&lt;br /&gt;
&lt;br /&gt;
In this tutorial you will learn about the GLOMAP-mode aerosol module and how it &lt;br /&gt;
tracks different aerosol types within several size classes.  You will understand &lt;br /&gt;
the standard configuration used in the UKCA jobs so far whereby the mass mixing &lt;br /&gt;
ratios of sulphate, sea-salt, black carbon and organic matter in each mode are &lt;br /&gt;
transported via separate tracers. GLOMAP-mode is an aerosol microphysics scheme &lt;br /&gt;
and therefore, as well as transporting the mass of several components in the &lt;br /&gt;
modes, the scheme also transports the number concentrations of particles in each mode.&lt;br /&gt;
&lt;br /&gt;
Task 10 already introduced the basic concepts behind the GLOMAP-mode aerosol &lt;br /&gt;
microphysics scheme and how it differs from the mass-based CLASSIC scheme which &lt;br /&gt;
preceded UKCA.&lt;br /&gt;
&lt;br /&gt;
Initially developed in the TOMCAT CTM environment (see Manktelow et al., 2007; &lt;br /&gt;
Mann et al., 2010; Mann et al., 2012), the GLOMAP code then became the aerosol &lt;br /&gt;
module for the UKCA sub-model of the UM (see Bellouin et al., 2013; &lt;br /&gt;
Kipling et al., 2013; West et al., 2014; Mann et al., 2014; Dhomse et al., 2014;&lt;br /&gt;
Turnock et al., 2015; Turnock et al., 2016; Zanchettin et al., 2016). &lt;br /&gt;
&lt;br /&gt;
GLOMAP is now also implemented into the ECMWF Integrated Forecasting System as &lt;br /&gt;
part of the &amp;quot;Composition IFS&amp;quot; module (C-IFS) where it will be used in combination &lt;br /&gt;
with data assimilation of satellite Aerosol Optical Depth to provide forecasts and &lt;br /&gt;
re-analyses of atmospheric composition and boundary conditions for regional air &lt;br /&gt;
quality models.  The shift from the current operational aerosol scheme in C-IFS&lt;br /&gt;
over to GLOMAP-mode is scheduled to take place during 2018.&lt;br /&gt;
&lt;br /&gt;
The GLOMAP-mode code allows several alternative &amp;quot;aerosol configurations&amp;quot; to be &lt;br /&gt;
run using the same set of FORTRAN subroutines.&lt;br /&gt;
&lt;br /&gt;
In section 12 of the UKCA UMDP, Table 18 shows the standard configuration for &lt;br /&gt;
GLOMAP in both of these other 2 host model frameworks (TOMCAT and C-IFS-GLOMAP).&lt;br /&gt;
&lt;br /&gt;
In this 7-mode configuration (known as setup 8), GLOMAP runs with all 7 modes &lt;br /&gt;
activated, with 2 being pure dust modes and the other 5 containing mixtures of &lt;br /&gt;
different aerosol components (sulphate, black carbon, organic matter, sea-salt &lt;br /&gt;
and dust).&lt;br /&gt;
&lt;br /&gt;
With this GLOMAP setup 8, the model runs has 7 number mixing ratios (one for each mode) &lt;br /&gt;
and has a total of 19 component mass mixing ratios over all the different types.&lt;br /&gt;
&lt;br /&gt;
As mentioned in task 10 however, when GLOMAP is run within UM-UKCA, dust is usually&lt;br /&gt;
handled by the existing 6-bin UM scheme, and GLOMAP is configured to use the &lt;br /&gt;
&amp;quot;5-mode configuration&amp;quot; (known as setup 2) covering only 4 of the above 5 &lt;br /&gt;
components (sulphate, black carbon, organic matter and sea-salt).&lt;br /&gt;
&lt;br /&gt;
[[File:UKCAaerosol_schematics_CLASSIC_GLOMAPms2corrected.jpg]]&lt;br /&gt;
&lt;br /&gt;
The scheme can also be further reduced to cover just the sulphate and sea-salt &lt;br /&gt;
components in 4 modes (known as setup 1), which was the initial configuration&lt;br /&gt;
used for interactive stratospheric aerosol simulations (e.g. Dhomse et al., 2014).&lt;br /&gt;
&lt;br /&gt;
The GLOMAP scheme has been run in the TOMCAT CTM in a range of configurations, including&lt;br /&gt;
one specifically designed to track two separate components for organic matter (OM), &lt;br /&gt;
with the I_MODE_SETUP=4 configuration designed to have one component track the primary &lt;br /&gt;
OM in each mode and a separate OM component to track secondary organic matter in &lt;br /&gt;
each mode.&lt;br /&gt;
&lt;br /&gt;
[[File:UKCAaerosol_schematics_CLASSIC_GLOMAPms4.jpg]]&lt;br /&gt;
&lt;br /&gt;
Section 12.2 of the UMDP has a more detailed explaination of these configurations with &lt;br /&gt;
Table 19 showing how these 4 different &#039;&#039;GLOMAP-mode setups&#039;&#039; map onto the model tracers.&lt;br /&gt;
&lt;br /&gt;
In this task you will take a copy of the standard UKCA job (which uses GLOMAP-mode &lt;br /&gt;
setup 2, MS2) and change it to use GLOMAP-mode setup 4 (MS4) to track two separate &lt;br /&gt;
organic matter (OM) components rather than the usual 1. With the 2-component OC &lt;br /&gt;
configuration, the model tracks primary (emitted) organic carbon in the usual OM &lt;br /&gt;
component and secondary organic matter (formed following oxidation in the atmosphere) &lt;br /&gt;
separately in a 2nd OM component.&lt;br /&gt;
&lt;br /&gt;
==Task 11.1: Understand how the GLOMAP aerosol module tracks aerosol species and modes==&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span style=&amp;quot;color:black&amp;quot;&amp;gt;&#039;&#039;&#039;TASK 11.1:&#039;&#039;&#039; Read section 12 (page 32) of the &lt;br /&gt;
[[Documentation|v8.4 UM Documentation Paper]] and refer to Tables 18, 19 and &lt;br /&gt;
20 on pages 33, 34 and 35.&lt;br /&gt;
&lt;br /&gt;
==Task 11.2: Run a copy of the standard UKCA job which tracks two OM components in the GLOMAP modes==&lt;br /&gt;
&lt;br /&gt;
Take a copy of the suite you generated from Task 10 with the GLOMAP AOD diagnostics&lt;br /&gt;
added.  This was your copy of the standard ARCHER v10.4 UKCA tutorial suite (u-ai071). &lt;br /&gt;
The task is to change the aerosol settings from the standard GLOMAP aerosol&lt;br /&gt;
configuration (setup 2) to instead use the 2-component OM configuration (setup 4). &lt;br /&gt;
&lt;br /&gt;
To run the 2-component GLOMAP configuration, you will need to add in an additional&lt;br /&gt;
branch to the suite (which supports that) and also make change to the Rose GUI&lt;br /&gt;
metadata for the suite, so that an extra option for I_MODE_SETUP=4 is made available&lt;br /&gt;
within the &amp;quot;GLOMAP configuration&amp;quot; selection-button.&lt;br /&gt;
&lt;br /&gt;
First, add in the extra branch. Go to the fcm_make_um app (4th from the top) and&lt;br /&gt;
then click on &amp;quot;env&amp;quot; then &amp;quot;Sources&amp;quot; which then shows you the 4 branches that are &lt;br /&gt;
already used in the UKCA tutorial job.  These 4 branches are to enable additional&lt;br /&gt;
settings over and above what was present in the UM trunk code at v10.4.&lt;br /&gt;
&lt;br /&gt;
To add in the extra branch click the plus sign and then paste the following into&lt;br /&gt;
the new entry that appears after you click the plus:&lt;br /&gt;
&lt;br /&gt;
branches/dev/grahammann/vn10.4_support_GLOMAPsetup4_for_2cptOM@32315&lt;br /&gt;
&lt;br /&gt;
This is telling to the model that, when the source-code is built, it needs&lt;br /&gt;
to pick up the code-changes from revision 32315 of the branch I put&lt;br /&gt;
together to enable UM-UKCA to correctly align with the code that is present&lt;br /&gt;
in GLOMAP for setup 4 (and adds a few bits that were missing in the v10.4 trunk).&lt;br /&gt;
&lt;br /&gt;
Next we&#039;ll need to change the GLOMAP setup. In the Rose GUI, you need to open the &lt;br /&gt;
UM app (click on the right-hand-pointing triangle at the bottom next to &amp;quot;um&amp;quot;) and&lt;br /&gt;
then similarly click on &amp;quot;namelist&amp;quot; then &amp;quot;UM Science settings&amp;quot; and finally&lt;br /&gt;
you can then select &amp;quot;Section 34: UKCA&amp;quot; to view which options have been selected &lt;br /&gt;
in this particular UKCA tutorial job.&lt;br /&gt;
&lt;br /&gt;
There are a long set of different switches which specify how this particular&lt;br /&gt;
UM-UKCA is configured.  Scrolling down (a fair way down) you will see&lt;br /&gt;
the GLOMAP aerosol setting options listed as&lt;br /&gt;
&#039;&#039;Set aerosol species and modes&#039;&#039;. This basically specifies the value for&lt;br /&gt;
&#039;&#039;i_mode_setup&#039;&#039;, which controls the GLOMAP aerosol configuration (as explained&lt;br /&gt;
above).  In the tutorial job you can see I_MODE_SETUP has been set to 2.&lt;br /&gt;
That corresponds to the &amp;quot;standard GLOMAP setup&amp;quot; explained and illustrated above&lt;br /&gt;
(sulphate, sea-salt, black carbon and one organic carbon component in 5 modes).&lt;br /&gt;
&lt;br /&gt;
You see also that there are alternative options there that can change the aerosol&lt;br /&gt;
setup to 1 (sulphate and sea-salt in 4 modes), 6 (dust-only in 2 modes) and&lt;br /&gt;
8 (sulphate, sea-salt, BC, POM and dust in all 7 modes).&lt;br /&gt;
&lt;br /&gt;
In our case, we actually want a different set-up though to any of these standard&lt;br /&gt;
4 options -- to activate to use the 2-component organic matter configuration.&lt;br /&gt;
Of course one needs to know that that configuration is actually available in the&lt;br /&gt;
code, and although this is explained in the UMDP, it turns out that, at this&lt;br /&gt;
version, the I_MODE_SETUP=1, 6 and 8 configurations are not supported, and we&lt;br /&gt;
recommend you do not select those options without corresponding closely with&lt;br /&gt;
the GLOMAP development team at Leeds.&lt;br /&gt;
&lt;br /&gt;
In order to do this requires to point the Rose GUI to an updated version of the&lt;br /&gt;
metadata that provides the information for the different panels in the GUI.&lt;br /&gt;
At the moment, the metadata used in the job tells the UM that the only options&lt;br /&gt;
available are I_MODE_SETUP=1, 2, 6 and 8.   But with the changes implemented&lt;br /&gt;
in the branch above, it is then possible to also run the model with&lt;br /&gt;
I_MODE_SETUP=4 (which is the GLOMAP configuration that we want to run with).&lt;br /&gt;
&lt;br /&gt;
The metadata for the &#039;&#039;UM app&#039;&#039; within the Rose GUI panel is specified in the&lt;br /&gt;
first panel selection in the GUI.  Instead of clicking on the right-hand-pointing&lt;br /&gt;
triangle, click on the word &#039;&#039;um&#039;&#039; and then you should see a panel with only one&lt;br /&gt;
entry that says &amp;quot;meta&amp;quot; with the text set as:&lt;br /&gt;
&lt;br /&gt;
/home/grenville/meta/ga7_vn10.4&lt;br /&gt;
&lt;br /&gt;
This is pointing to a rose-meta.conf file that specifies the metadata for the UM&lt;br /&gt;
app.  It is off Grenville Lister&#039;s directory because there were things that were&lt;br /&gt;
decided were required to be added (chosen according to some priorities or&lt;br /&gt;
requirements) to the functionality of that UM app at that particular time.&lt;br /&gt;
&lt;br /&gt;
In preparation for this task I have updated those Rose selections to additionally&lt;br /&gt;
allow the user to select the option 4 as well as those 1, 2, 6 and 8.&lt;br /&gt;
&lt;br /&gt;
For this task we need to change the text set in that box to instead be set as:&lt;br /&gt;
&lt;br /&gt;
/home/gmann/meta/ga7_vn10.4_MS4updated&lt;br /&gt;
&lt;br /&gt;
and then click apply. I have updated the rose-meta.conf metadata file to add the&lt;br /&gt;
required to enable the extra I_MODE_SETUP=4 to be selected in the GUI.&lt;br /&gt;
&lt;br /&gt;
To get an idea of what is different about the rose-meta.conf file, that then&lt;br /&gt;
allows the user to choose that option, you could use a graphical difference&lt;br /&gt;
engine like &amp;quot;tkdiff&amp;quot; or &amp;quot;xxdiff&amp;quot; to compare the rose-meta.conf in those two&lt;br /&gt;
directories.  &lt;br /&gt;
&lt;br /&gt;
tkdiff /home/grenville/meta/ga7_vn10.4/rose-meta.conf /home/gmann/meta/ga7_vn10.4_MS4updated/rose-meta.conf&lt;br /&gt;
&lt;br /&gt;
By doing this, you see that the functionality that was added in the file&lt;br /&gt;
off Grenville Lister&#039;s directory was to retain the information in the&lt;br /&gt;
existing rose-meta.conf, but additional add a new switch to allow the&lt;br /&gt;
user to scale up or down how much NOx is emitted from lightning sources.&lt;br /&gt;
&lt;br /&gt;
In the rose-meta.conf for the &#039;&#039;MS4updated&#039;&#039; version of this, the code&lt;br /&gt;
does the same to retain the existing settings set in the rose-meta.conf&lt;br /&gt;
in the branch, and adds in the new lightnight NOx scaling, but then also&lt;br /&gt;
provides a replacement for the existing I_MODE_SETUP metadata to&lt;br /&gt;
allow I_MODE_SETUP to take 5 alternative values (1, 2, 4, 6 and 8)&lt;br /&gt;
instead of the existing 4.&lt;br /&gt;
&lt;br /&gt;
Once you have changed the text to point to that new meta data file,&lt;br /&gt;
the button-selection in the UKCA panel changes to having those 5&lt;br /&gt;
options rather than the previous 4.&lt;br /&gt;
Now that the new I_MODE_SETUP=4 option is visible in the Rose GUI,&lt;br /&gt;
proceed to select that I_MODE_SETUP=4 rather than the previous&lt;br /&gt;
(default) setting of I_MODE_SETUP=2.&lt;br /&gt;
&lt;br /&gt;
The FORTRAN in the model source-code is (with the updated branch added&lt;br /&gt;
above) able then to act on the new I_MODE_SETUP specied in the Rose GUI,&lt;br /&gt;
and activate the required extra OM2 tracers (section 34 items 128, 129,&lt;br /&gt;
130 and 131) and also does several other things to enable the code&lt;br /&gt;
to then have the condensation of SEC_ORG go into the SO component mmrs&lt;br /&gt;
instead of the OM component mmrs as was the case for I_MODE_SETUP=2.&lt;br /&gt;
&lt;br /&gt;
Note that at previous versions of the UM (v7.3, v8.4), to add the extra&lt;br /&gt;
tracers for the new I_MODE_SETUP required a UMUI hand-edit to edit the&lt;br /&gt;
file &#039;&#039;SIZES&#039;&#039;, setting the values of the array &#039;&#039;TC_UKCA&#039;&#039; [which specifies which&lt;br /&gt;
of the UKCA tracers are switched on (=1) or off (=0)].&lt;br /&gt;
By contrast, at v10.4, the control for which tracers&lt;br /&gt;
should be on or off is done based on what is set in the STASHmaster_A file.&lt;br /&gt;
There is some code within one of the UKCA routines (tstmask_ukca_mod.F90)&lt;br /&gt;
that interprets one of the fields set in the STASHmaster_A.&lt;br /&gt;
&lt;br /&gt;
If you have not encountered the so-called &amp;quot;STASHmaster_A&amp;quot; file before, it is&lt;br /&gt;
basically the file that specifies the properties of all the different prognostic&lt;br /&gt;
and diagnostic variables that are set to be used by the UM.&lt;br /&gt;
&lt;br /&gt;
The STASHmaster_A file is not easy to understand, and it will not be possible to&lt;br /&gt;
explain many aspects of what it does -- but suffice it to say that it contains&lt;br /&gt;
a sequence of 5-line segments for each prognostic or diagnostic variable, with&lt;br /&gt;
several different fields within it, which conveniently specify a range of&lt;br /&gt;
information about that particular prognostic/diagnostic&#039;s properties (that are&lt;br /&gt;
interpeted within the FORTRAN code of the model when it runs).&lt;br /&gt;
&lt;br /&gt;
The UKCA prognostic variables can be found in section 34 in items 1-150.&lt;br /&gt;
All the aerosol optical properties diagnostics (e.g. as explained in Task 10),&lt;br /&gt;
such as the AOD for each mode, can be found in section 2. (Although strictly&lt;br /&gt;
speaking this section 2 is principally to store long-wave radiation&lt;br /&gt;
diagnostics, the aerosol optical properties are also stored here for&lt;br /&gt;
historical reasons.)&lt;br /&gt;
&lt;br /&gt;
The reason I explain this is that we will refer to the STASHmaster_A file&lt;br /&gt;
to see the way the main UKCA tracers are specified as on or off for the&lt;br /&gt;
different I_MODE_SETUPs. And you need to be able to appreciate the context&lt;br /&gt;
of the GLOMAP tracers that have been activated, in relation to the other variables&lt;br /&gt;
set for the other parts of the model&lt;br /&gt;
&lt;br /&gt;
We will see that this automatic configuring the tracers&lt;br /&gt;
is actually done from within one of the&lt;br /&gt;
fields in the STASHmaster &#039;&#039;option code&#039;&#039; entry. The user-prognostic fields&lt;br /&gt;
required by other parts of the model (e.g. partial volumes for RADAER,&lt;br /&gt;
CDNC diags for ACTIVATE, aerosol surface area for heterogeneous chemistry)&lt;br /&gt;
are also able to be conveniently controlled by a similar approach making&lt;br /&gt;
the extra fields for the different I_MODE_SETUPs available automatically&lt;br /&gt;
based on what is set in the STASHmaster_A.&lt;br /&gt;
&lt;br /&gt;
Which of the GLOMAP tracers are switched ON for different&lt;br /&gt;
GLOMAP configurations (values of I_MODE_SETUP) is controlled by a&lt;br /&gt;
30-character string on the 3rd line of the STASHmaster_A entry&lt;br /&gt;
for that variable.  This 30-character string is known as an &#039;&#039;option code&#039;&#039;.&lt;br /&gt;
By switched ON I mean it is then set to be a transported tracer and thereby&lt;br /&gt;
made available during run-time.&lt;br /&gt;
&lt;br /&gt;
If you are familiar with FORTRAN it is worth taking a look at the STASHmaster&lt;br /&gt;
and also referring to the code where this is done. And for this reason, I&lt;br /&gt;
recommend at this point that you do an &amp;quot;FCM checkout&amp;quot; (to your local space&lt;br /&gt;
on PUMA) of the v10.4 branch that was added above.&lt;br /&gt;
&lt;br /&gt;
If you haven&#039;t already, you should create an &amp;quot;FCM&amp;quot; directory off your home&lt;br /&gt;
directory on PUMA.  This is where you will store &#039;&#039;checkouts&#039;&#039; of branches&lt;br /&gt;
that you have created (or want to refer to). After cd&#039;ing into that&lt;br /&gt;
directory, run the following command to &amp;quot;check-out&amp;quot; the code in the branch&lt;br /&gt;
to a &amp;quot;user working copy&amp;quot; in your ~/FCM directory. The command is:&lt;br /&gt;
&lt;br /&gt;
fcm checkout fcm:um.x_br/dev/grahammann/vn10.4_support_GLOMAPsetup4_for_2cptOM&lt;br /&gt;
&lt;br /&gt;
That checks-out the whole contents of that branch to your ~/FCM/ directory&lt;br /&gt;
and may take a few minutes to complete (although sometimes it&#039;s much quicker).&lt;br /&gt;
&lt;br /&gt;
To look at the STASHmaster_A file, cd into that branch&lt;br /&gt;
&amp;quot;vn10.4_support_GLOMAPsetup4_for_2cptOM&amp;quot; and then into the following&lt;br /&gt;
directory within the branch:&lt;br /&gt;
&lt;br /&gt;
cd rose-meta/um-atmos/HEAD/etc/stash/STASHmaster&lt;br /&gt;
&lt;br /&gt;
you will see the STASHmaster_A file.&lt;br /&gt;
&lt;br /&gt;
It&#039;s a big file but if you go to line 14028 (e.g. use capital-G in vi)&lt;br /&gt;
you see section 34 item 101 and on the 3rd line you see the 30-character string&lt;br /&gt;
of zeros and ones for &#039;&#039;nucleation mode (soluble) number&#039;&#039;  is set as&lt;br /&gt;
&amp;quot;100000000000000000000010001011&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
The way the model has been coded is to pick up the values of 1 or 0 near the&lt;br /&gt;
end of this &amp;quot;option code&amp;quot; and use these to specify which tracers are switched&lt;br /&gt;
on.  In short, the nth character from the right-hand side specifies whether&lt;br /&gt;
the tracer is switched on for I_MODE_SETUP=n.&lt;br /&gt;
&lt;br /&gt;
You see that the 29th and 30th characters are set to &amp;quot;1&amp;quot; which means that the&lt;br /&gt;
tracer is included for I_MODE_SETUP=1 and I_MODE_SETUP=2.   You&#039;ll recall that&lt;br /&gt;
the only other values for I_MODE_SETUP that are allowed to be selected at this&lt;br /&gt;
model version (in the unchanged base job that is) are I_MODE_SETUP=6 (2mode dust-only)&lt;br /&gt;
and I_MODE_SETUP=8 (the &amp;quot;full&amp;quot; setup with all 7 modes active). And you see&lt;br /&gt;
that the 6th-from-the-right is a zero which means that the nucleation mode&lt;br /&gt;
number tracer is not included in that I_MODE_SETUP=6 configuration (dust-only).&lt;br /&gt;
But you see that the 8th-from-the-right is set to &amp;quot;1&amp;quot; which means that the&lt;br /&gt;
tracer is included for I_MODE_SETUP=8 (the &amp;quot;full&amp;quot; set-up with all 7 modes active).&lt;br /&gt;
&lt;br /&gt;
For this task, my branch has additionally activated an extra GLOMAP set-up --&lt;br /&gt;
and see that I have edited the STASHmaster to put a 1 also in the 4th character              &lt;br /&gt;
from the end so that that particular tracer is selected to be &#039;&#039;switched on&#039;&#039;&lt;br /&gt;
for the I_MODE_SETUP=4 option which is now available.&lt;br /&gt;
&lt;br /&gt;
That&#039;s different from the default specification for this tracer (in the UM&lt;br /&gt;
trunk at v10.4) which specifies the option code as zero for this column 26:&lt;br /&gt;
&lt;br /&gt;
&amp;quot;100000000000000000000010000011&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
You see in the STASHmaster_A file  there are the two sets of organic matter&lt;br /&gt;
tracers, the first one being called &amp;quot;OC&amp;quot; and the second one called &amp;quot;SO&amp;quot;.&lt;br /&gt;
At some points in the model the tracers are given short-hand names of&lt;br /&gt;
&#039;&#039;Ait_SOL_OC&#039;&#039; (item 106),&lt;br /&gt;
&#039;&#039;Acc_SOL_OC&#039;&#039; (110), &#039;&#039;Cor_SOL_OC&#039;&#039; (116), &#039;&#039;Ait_INS_OC&#039;&#039; (121) and&lt;br /&gt;
&#039;&#039;Nuc_SOL_OC&#039;&#039; (126) while the second OM tracers have short names &#039;&#039;Nuc_SOL_SO&#039;&#039; (128),&lt;br /&gt;
&#039;&#039;Ait_SOL_SO&#039;&#039; (129), &#039;&#039;Acc_SOL_SO&#039;&#039; (130) and &#039;&#039;Cor_SOL_SO&#039;&#039; (131).&lt;br /&gt;
But the STASHmaster_A file has their full names -- and you can see that&lt;br /&gt;
whereas the &amp;quot;OC&amp;quot; tracers are included for both I_MODE_SETUP=2 and&lt;br /&gt;
I_MODE_SETUP=4, the &amp;quot;SO&amp;quot; tracers are only included for I_MODE_SETUP=4.&lt;br /&gt;
&lt;br /&gt;
The extra tracers for the OM2 mass mixing ratios in each are stored in STASH&lt;br /&gt;
items 128, 129, 130 and 131 in section 34. You see that these are set to 1 for&lt;br /&gt;
the SO components in each of the soluble modes and the nucleation&lt;br /&gt;
soluble OC mmr is no longer required as it has been replaced with SO mmr&lt;br /&gt;
for that particular mode.&lt;br /&gt;
&lt;br /&gt;
When we changed the Rose GUI to allow the user to select I_MODE_SETUP=4, we&lt;br /&gt;
did this by pointing the Rose GUI to an updated rose-meta.conf file in a&lt;br /&gt;
separate directory that enabled the I_MODE_SETUP=4 option. It was this one:&lt;br /&gt;
&lt;br /&gt;
/home/gmann/meta/ga7_vn10.4_MS4updated/rose-meta.conf&lt;br /&gt;
&lt;br /&gt;
The reason I refresh the memory about this is to further explain that, in&lt;br /&gt;
a sub-directory of that same &amp;quot;ga7_vn10.4_MS4updated&amp;quot; main directory, the&lt;br /&gt;
&amp;quot;MS4-updated&amp;quot; version of the STASHmaster_A file that I included in the branch&lt;br /&gt;
is also identically present there (with the I_MODE_SETUP=4 option enabled).&lt;br /&gt;
This copy of the &amp;quot;MS4-updated&amp;quot; STASHmaster_A file can be found at:&lt;br /&gt;
&lt;br /&gt;
/home/gmann/meta/ga7_vn10.4_MS4updated/etc/stash/STASHmaster&lt;br /&gt;
&lt;br /&gt;
Due to a quirk in this preliminary realisation of the Rose software (which&lt;br /&gt;
is still in its infancy really for use with the UM), when one makes a change&lt;br /&gt;
to the STASHmaster_A file, and one wants to use the functionality added to&lt;br /&gt;
the STASHmaster_A in an actual suite, then one needs to make the change&lt;br /&gt;
like this in 2 places.  In fact, when it comes to running the job, one&lt;br /&gt;
also has to additionally do a manual copy-in of the STASHmaster_A into a&lt;br /&gt;
sub-directory of the ~/roses/suite-id/app/um/ part of the suite that one&lt;br /&gt;
wants to run.&lt;br /&gt;
&lt;br /&gt;
So here we need to also do this &#039;&#039;manual copy-in&#039;&#039; of the updated&lt;br /&gt;
STASHmaster_A (from either the branch or the metadata directory)&lt;br /&gt;
into a directory with the particular rose suite you are running.&lt;br /&gt;
&lt;br /&gt;
In fact it&#039;s more tricky than that because you actually have to&lt;br /&gt;
create a new directory called &#039;&#039;file&#039;&#039; within the app/um/ section of your&lt;br /&gt;
~/roses/$SUITE_ID/ file-path and copy-in the updated STASHmaster_A&lt;br /&gt;
to there.  If you don&#039;t do this then even though you have updated&lt;br /&gt;
the STASHmaster_A in the branch, when the model runs it will not use&lt;br /&gt;
this updated file.&lt;br /&gt;
&lt;br /&gt;
So first you need to cd to ~/roses/$SUITE_ID/app/um and then type&lt;br /&gt;
&#039;&#039;mkdir file&#039;&#039;. Then copy the updated STASHmaster_A file from&lt;br /&gt;
&lt;br /&gt;
/home/gmann/meta/ga7_vn10.4_MS4updated/etc/stash/STASHmaster/&lt;br /&gt;
&lt;br /&gt;
into that new directory you&#039;ve created called &#039;&#039;file&#039;&#039;.&lt;br /&gt;
Even after you&#039;ve done that, the changes that have been made to the&lt;br /&gt;
STASHmaster_A will still not be correctly picked up when the job runs&lt;br /&gt;
until you have added a STASHmaster_A to alert the Rose GUI that this&lt;br /&gt;
modified STASHmaster_A needs to be &#039;&#039;installed&#039;&#039; when the model runs.&lt;br /&gt;
It is regrettable that whereas this was done atuomatically at v8.4&lt;br /&gt;
it turns out to be rather cumbersome to do it at v10.4.&lt;br /&gt;
&lt;br /&gt;
Anyway, we need to make an additional change in the Rose GUI to alert &lt;br /&gt;
the model to the fact that the job needs to use a modified STASHmaster_A file.&lt;br /&gt;
This is done by adding a new&lt;br /&gt;
environment variable &#039;&#039;STASHMSTR&#039;&#039;. Within the &#039;&#039;um app&#039;&#039; section&lt;br /&gt;
of the Rose GUI, go to &#039;&#039;env&#039;&#039; and then select &#039;&#039;Runtime Controls&#039;&#039;.&lt;br /&gt;
You see in the right-hand panel it explains this is where&lt;br /&gt;
environment variables can be set to control behaviour at run time.&lt;br /&gt;
In our case, this is what we have to do to alert the model that&lt;br /&gt;
we have changed the STASHmaster_A. It&#039;s obviously not ideal that&lt;br /&gt;
this is not done automatically.&lt;br /&gt;
But unfortunately that is simply where things are at&lt;br /&gt;
currently with the new Rose GUI being rolled out before some of&lt;br /&gt;
the additional functionality is quite ready yet. I expect this&lt;br /&gt;
will be taken care of at a later UM version but at v10.4 one&lt;br /&gt;
has to add this extra environment variable to alert the model&lt;br /&gt;
that things have changed.&lt;br /&gt;
&lt;br /&gt;
So.  To add the extra environment variable to alert the model&lt;br /&gt;
that the STASHmaster_A file has changed.  You need to first&lt;br /&gt;
go to the View panel at the top of the GUI and select&lt;br /&gt;
&#039;&#039;View Latent Variables&#039;&#039;. When you have done that you see&lt;br /&gt;
that there is in fact an entry for specifying the&lt;br /&gt;
STASHMSTR environment variable. Click on the plus sign next&lt;br /&gt;
to that STASHMSTR entry and type the single-character string &amp;quot;.&amp;quot;&lt;br /&gt;
into that panel (that&#039;s it just the dot). That specifies to&lt;br /&gt;
pick up the STASHmaster_A from the &#039;&#039;file&#039;&#039; directory.&lt;br /&gt;
&lt;br /&gt;
Next, I advise to look in the directory src/atmosphere/UKCA of the&lt;br /&gt;
checked-out branch. This is where all the main UKCA code can be found&lt;br /&gt;
(including the GLOMAP routines) and also the routines for RADAER,&lt;br /&gt;
ACTIVATE and FAST-J/JX. The reason I mention this is that I think it&lt;br /&gt;
is worth taking a look at the routine &#039;&#039;ukca_init.F90&#039;&#039;&lt;br /&gt;
as this gives you some idea of how the code processes these different&lt;br /&gt;
aerosol configurations and how GLOMAP acts on the different settings&lt;br /&gt;
of I_MODE_SETUP to specify which modes and components are switched&lt;br /&gt;
ON and OFF.  Looking in ukca_init.F90 you see there is the comment&lt;br /&gt;
that says &amp;quot;Call appropriate MODE setup routine&amp;quot;.  You see there&lt;br /&gt;
that, for each different setting for I_MODE_SETUP, the code calls&lt;br /&gt;
a different trio of &amp;quot;module-procedures&amp;quot; that together set up&lt;br /&gt;
everything that is needed to run that particular set-up.&lt;br /&gt;
&lt;br /&gt;
If you already know quite a bit about GLOMAP you could take a look&lt;br /&gt;
at these by looking in the FORTRAN-90 module ukca_mode_setup.F90&lt;br /&gt;
&lt;br /&gt;
In ukca_init.F90 you see that, for I_MODE_SETUP=2, the code specifies&lt;br /&gt;
to call the module-procedure &amp;quot;ukca_mode_sussbcoc_5mode&amp;quot; whereas for&lt;br /&gt;
I_MODE_SETUP=4 it calls &amp;quot;ukca_mode_sussbcocso_5mode&amp;quot;.  These&lt;br /&gt;
ukca_mode_xxxx routines specify the main logical variables &#039;&#039;mode&#039;&#039;&lt;br /&gt;
and &#039;&#039;component&#039;&#039; which specify which modes are switched on and&lt;br /&gt;
which components are included in each mode.&lt;br /&gt;
&lt;br /&gt;
The rationale of the GLOMAP setup arrays (set differently in each&lt;br /&gt;
alternative module-procedure) &lt;br /&gt;
is that once they are set (along with the associated arrays that       &lt;br /&gt;
specify different properties about each component), the same FORTRAN code &lt;br /&gt;
can then be run for any supported GLOMAP set-up. For more info about        &lt;br /&gt;
this see the UKCA UMDP (section on GLOMAP aerosol).&lt;br /&gt;
&lt;br /&gt;
The other two &#039;&#039;setup indices&#039;&#039; module-procedures specify what is done&lt;br /&gt;
for processes that exchange from the gas phase to the particle phase&lt;br /&gt;
(principally condensation of &#039;&#039;H2SO4&#039;&#039; or &#039;&#039;SEC_ORG&#039;&#039; into one of&lt;br /&gt;
the aerosol components in the particle modes).  The module-procedures&lt;br /&gt;
set for example how the condensation routine UKCA_CONDEN should&lt;br /&gt;
direct the condensation from the gas phase into particular components&lt;br /&gt;
(by direct I mean which component the gas phase should partition into&lt;br /&gt;
or out of).&lt;br /&gt;
&lt;br /&gt;
Because of the way the code has been written (reasonably flexibly, but&lt;br /&gt;
note this is only for tried-and-tested GLOMAP set-ups) once these three&lt;br /&gt;
module-procedures are set, the model then has all it needs to enable&lt;br /&gt;
the same code to be run with different module-procedures that specify&lt;br /&gt;
which modes are to be switched on and which off.&lt;br /&gt;
&lt;br /&gt;
At this point, let&#039;s get back to the task in hand. Which is to convert&lt;br /&gt;
your copy of the UKCA tutorial job to run with the two-component POM&lt;br /&gt;
setup of GLOMAP (I_MODE_SETUP=4).&lt;br /&gt;
&lt;br /&gt;
Now that your suite points to the updated metadata to enable the&lt;br /&gt;
I_MODE_SETUP=4 GLOMAP setup, and the Rose GUI is all set with the&lt;br /&gt;
updated STASHmaster_A (including the environment variable STASHMSTR&lt;br /&gt;
and the manual copy-in of the STASHmaster_A file) things are pretty&lt;br /&gt;
much ready to go.&lt;br /&gt;
You just need to add in the extra daily-mean STASH requests for the&lt;br /&gt;
additional 4 2nd OM mmr&#039;s (the SO tracers) as you did to request the&lt;br /&gt;
standard OM mmrs in task 10.  With both sets of OM mmrs requested to&lt;br /&gt;
the daily-mean .pk files you will be able to validate that there&lt;br /&gt;
is the same amount of OM in the two-component OM run as in the standard&lt;br /&gt;
single-component OM run (with also the aerosol optical properties&lt;br /&gt;
being equivalent).&lt;br /&gt;
&lt;br /&gt;
To add in the extra STASH requests it&#039;s just the same procedure as&lt;br /&gt;
in Task 10 -- go to &#039;&#039;Model Input and Output&#039;&#039; within the um namelist&lt;br /&gt;
section of the GUI and then &#039;&#039;STASH Requests and Profiles&amp;quot; and then&lt;br /&gt;
&#039;&#039;STASH requests&#039;&#039;.  Click the plus sign next to &#039;&#039;New&#039;&#039; in the top&lt;br /&gt;
right-hand corner of the right-hand panel and then add in the&lt;br /&gt;
section from section 34 items 128, 129, 130 and 131 for the&lt;br /&gt;
SO mmrs in each of the four soluble modes. To do this double-click on the item&lt;br /&gt;
so it is added to the list of STASH requests and then set the&lt;br /&gt;
profile for these 4 new ones as dom_name as &#039;&#039;DALLTH&#039;&#039; (all theta points&lt;br /&gt;
in the 3D grid), tim_name as &#039;&#039;TDAYM&#039;&#039; for daily-mean and&lt;br /&gt;
use_name as &#039;UPK&#039; to send these to the .pk files as for the&lt;br /&gt;
daily-mean OM1 mmrs you already added in Task 10.&lt;br /&gt;
&lt;br /&gt;
Note that whereas at v8.4 the user had to switch to a different version of&lt;br /&gt;
the RADAER hand-edit &#039;&#039;raderv2_vn84_ARCHER.ed&#039;&#039; to allow the 2-component OM&lt;br /&gt;
configuration of GLOMAP to couple to the UM radiation scheme, at v10.4&lt;br /&gt;
this is all taken care of automatically within the code (based on the&lt;br /&gt;
settings for the required user-prognostics in the STASHmaster_A).&lt;br /&gt;
&lt;br /&gt;
So, as the models runs, the AOD&#039;s calculated within RADAER will automatically&lt;br /&gt;
be including the additional partial volume from the OM2 mmr&#039;s (items 128 to&lt;br /&gt;
131, which now track only the secondary OM) as well as the partial volumes&lt;br /&gt;
for the usual OC mmrs (which now only include the primary OM).&lt;br /&gt;
&lt;br /&gt;
Finally, since you have asked the model to run with additional tracers, you&lt;br /&gt;
also need to specify how these should be initialised.&lt;br /&gt;
&lt;br /&gt;
Go to the &#039;&#039;Reconfiguration and Ancillary Control&#039;&#039; panel in the namelist&lt;br /&gt;
section of the um app within the Rose GUI and select &lt;br /&gt;
&#039;&#039;Configure ancils and initialise dump fields&#039;&#039;. &lt;br /&gt;
When you select that, the window on the&lt;br /&gt;
right-hand side should view a whole set of entries which indicate where&lt;br /&gt;
some of the tracers need a different type of initialisation (not just&lt;br /&gt;
picking up the values from the dump). These &#039;&#039;special initialisations&#039;&#039;&lt;br /&gt;
are handled via what is referred to as an &#039;&#039;items namelist&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
The information here is hard to de-cipher but the best way to understand&lt;br /&gt;
it is to look for the column entitled &#039;&#039;stash_req&#039;&#039;. That explains which&lt;br /&gt;
STASH item the panel is specifying needs to be initialised differently.&lt;br /&gt;
If you click on the &#039;&#039;stash_req&#039;&#039; it will re-sort the list to be in&lt;br /&gt;
ascending order for the STASH requests (put section and items in order).&lt;br /&gt;
&lt;br /&gt;
Basically there are several different ways to initialise tracers (or&lt;br /&gt;
other model fields) when one runs the model. You can specify that they&lt;br /&gt;
should be set to zero (source set to 3), that they should pick up values from&lt;br /&gt;
file or &#039;&#039;user-ancilliary file&#039;&#039; (source set to 7), or else have them be &lt;br /&gt;
set to a constant (non-zero) value (source set to 6).  The UM has been &lt;br /&gt;
coded to allow the user to specify this very flexibly, based on what is set&lt;br /&gt;
in the GUI (previously UMUI, now Rose GUI). In short, the choice of&lt;br /&gt;
how the tracers should be initialised is determined by what is set&lt;br /&gt;
in the column &#039;&#039;source&#039;&#039;.  If that source column is set to 7 then&lt;br /&gt;
it means the tracer is to be initiliaised (in an NRUN) by values&lt;br /&gt;
set in a user-ancilliary file (the name of which is specified&lt;br /&gt;
in the &#039;&#039;ancil filename&#039;&#039; column). For example you see that many&lt;br /&gt;
of the UKCA tracers are set to be initilised from a pre-existing&lt;br /&gt;
user-ancillary file -- that is set by the environment variable&lt;br /&gt;
&#039;&#039;CHEM_INIT&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
Here, we want to initialise the 4 extra OM2 mmrs to be set to zero&lt;br /&gt;
at the start of the NRUN so we need to add those in and set them&lt;br /&gt;
to have the &#039;&#039;source&#039;&#039; column to be set to 3, for initialising&lt;br /&gt;
the tracer to zero.  To add the extra initialisations you need&lt;br /&gt;
to right-click in the right-hand window and select &#039;&#039;Add section&#039;&#039;.&lt;br /&gt;
You will then get a new row to the column given the index &#039;&#039;1&#039;&#039;.&lt;br /&gt;
Then right-click again and select &#039;&#039;view namelist items&#039;&#039;.&lt;br /&gt;
This then sets the different items.  You need to add all 4 to&lt;br /&gt;
this one new &#039;&#039;section&#039;&#039; by, for each one, clicking on&lt;br /&gt;
section and setting this to section 34 and selecting first&lt;br /&gt;
128, then 129, then 130 and then 131 -- clicking on the plus&lt;br /&gt;
sign after the first one and selecting &#039;&#039;Set to zero&#039;&#039; from the&lt;br /&gt;
source section (you only need to do that once). When you add&lt;br /&gt;
the 2nd one you&#039;ll find you need to use&lt;br /&gt;
the cursor keys due to a bug in the GUI. After clicking Save&lt;br /&gt;
there will then be an extra line in that list of &lt;br /&gt;
&#039;&#039;special initialisations&#039;&#039; &lt;br /&gt;
which nows list those extra 4 SO mmrs as&lt;br /&gt;
being initialised to zero.&lt;br /&gt;
&lt;br /&gt;
That&#039;s it!  With those changes you should be able now to&lt;br /&gt;
proceed and submit the job as in Task 10.&lt;br /&gt;
&lt;br /&gt;
There is more info in the UMDP on initialising variables  here:&lt;br /&gt;
&lt;br /&gt;
https://code.metoffice.gov.uk/doc/um/latest/papers/umdp_302.pdf&lt;br /&gt;
&lt;br /&gt;
The worked solution to this task can be found in job &amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai897&#039;&#039;&#039;&amp;lt;/code&amp;gt;.&lt;br /&gt;
Sample output can be found on ARCHER in the directory&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task11.2&lt;br /&gt;
&lt;br /&gt;
==Task 11.3 Examine the simulated total organic carbon in the original and two-cpt OM configurations==&lt;br /&gt;
&lt;br /&gt;
In the above Task 11.2 you ran a 2-component OM version of the UKCA tutorial&lt;br /&gt;
job (&amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai071&#039;&#039;&#039;&amp;lt;/code&amp;gt;), which began from the updated version from&lt;br /&gt;
Task 10 where the AOD diags and the extra STASH requests for OM1 mmrs, had&lt;br /&gt;
already been added.&lt;br /&gt;
&lt;br /&gt;
You can also refer to the worked solution &amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai897&#039;&#039;&#039;&amp;lt;/code&amp;gt; which I have&lt;br /&gt;
configured in this way.&lt;br /&gt;
See that &amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai830&#039;&#039;&#039;&amp;lt;/code&amp;gt; was the same as the UKCA tutorial job&lt;br /&gt;
(with the STASH items from Task 10 added) and then  &amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai897&#039;&#039;&#039;&amp;lt;/code&amp;gt;&lt;br /&gt;
adds in the required for this Task.&lt;br /&gt;
&lt;br /&gt;
So by now you should have equivalent standard (as &amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai830&#039;&#039;&#039;&amp;lt;/code&amp;gt;) and&lt;br /&gt;
2-component OM (as &amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai897&#039;&#039;&#039;&amp;lt;/code&amp;gt;) versions of the UKCA tutorial job.&lt;br /&gt;
In these jobs you have requested numerous daily-mean fields to be output in&lt;br /&gt;
the .pk files.&lt;br /&gt;
&lt;br /&gt;
So in your /work/n02/n02/ directory on ARCHER you should have&lt;br /&gt;
&#039;&#039;&#039;jobid&#039;&#039;&#039;a.pk19991201 files for your standard and 2-component OM jobs.&lt;br /&gt;
&lt;br /&gt;
Included in the extra STASH requests are the mass mixing ratios of OM&lt;br /&gt;
(the standard organic component) and SO (the 2nd organic component) in each mode.&lt;br /&gt;
&lt;br /&gt;
The OM mmrs are STASH section 34, items 126 (nucleation mode), 106 (Aitken-soluble),&lt;br /&gt;
110 (accumn-soluble), 116 (coarse-soluble) and 121 (Aitken-insoluble).&lt;br /&gt;
&lt;br /&gt;
The SO mmrs are STASH section 34, items 128 (nucleation mode), 129 (Aitken-soluble),&lt;br /&gt;
130 (accumn-soluble), 131 (coarse-soluble).&lt;br /&gt;
&lt;br /&gt;
Note that when running with the two-component OM configuration (I_MODE_SETUP=4),&lt;br /&gt;
the OM mmr in the nucleation mode (34-126) will always be zero, and for that&lt;br /&gt;
reason the option code in the 4th-from-the-right column in the STASHmaster_A&lt;br /&gt;
has been set to zero. As a consequence, there will be no 34-126 code available&lt;br /&gt;
in the .pk file when you run the job.&lt;br /&gt;
&lt;br /&gt;
These STASH item numbers and the details of the standard and 2-component GLOMAP&lt;br /&gt;
configurations can be found in the UKCA UMDP section 12 Tables 19 and 20.&lt;br /&gt;
&lt;br /&gt;
Note also that there is no SO in the Aitken-insoluble mode as this contains only primary&lt;br /&gt;
carbonaceous particles. Any SO or OM condensing onto the particles in the insoluble&lt;br /&gt;
modes is immediately transferred over to the corresponding soluble mode following&lt;br /&gt;
the &amp;quot;condensation-ageing&amp;quot; approach used by the model.  This OM or SO condensing&lt;br /&gt;
onto the insoluble particles is a kind of &amp;quot;coating&amp;quot; for the particles making the&lt;br /&gt;
particles hygroscopic/soluble.&lt;br /&gt;
&lt;br /&gt;
You could also try adding STASH requests for the mmr of the gas phase species&lt;br /&gt;
MONOTER and SEC_ORG (STASH section 34, items 91 and 92).&lt;br /&gt;
&lt;br /&gt;
As an example I have put here a link to a pdf {{pdf|GlobalMap_2cptOM_v104.pdf|OMcomparison}}&lt;br /&gt;
showing global maps comparing surface OM fields between the reference single-OM-component suite&lt;br /&gt;
&amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai830&#039;&#039;&#039;&amp;lt;/code&amp;gt; (top-left, labelled as &amp;lt;code&amp;gt;ai830&amp;lt;/code&amp;gt;) and&lt;br /&gt;
&amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai895&#039;&#039;&#039;&amp;lt;/code&amp;gt; (top-right, labelled as &amp;lt;code&amp;gt;ai895&amp;lt;/code&amp;gt;).&lt;br /&gt;
&lt;br /&gt;
Page 1 of the pdf compares the &amp;quot;total POM mmr&amp;quot; at the surface which is the total&lt;br /&gt;
particulate organic matter (POM) summing up the mass of OM and SO in each mode.&lt;br /&gt;
&lt;br /&gt;
Pages 2 and 3 show comparisons of &amp;quot;total POM1 mmr&amp;quot; and &amp;quot;total POM2 mmr&amp;quot; which are&lt;br /&gt;
the sum of the 1st and 2nd organic component over all the modes.&lt;br /&gt;
&lt;br /&gt;
You can see from the example that the &amp;quot;total POM2 mmr&amp;quot; in &amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai830&#039;&#039;&#039;&amp;lt;/code&amp;gt;&lt;br /&gt;
is zero everywhere. That&#039;s because in this job GLOMAP has the standard configuration&lt;br /&gt;
with just one organic component.&lt;br /&gt;
&lt;br /&gt;
By contrast the &amp;quot;total POM2 mmr&amp;quot; for &amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai895&#039;&#039;&#039;&amp;lt;/code&amp;gt; has considerable&lt;br /&gt;
concentrations in vegetated continental regions.&lt;br /&gt;
In this &amp;quot;I_MODE_SETUP=4&amp;quot; configuration, the &amp;quot;SEC_ORG&amp;quot; species (which contains the&lt;br /&gt;
secondary organics from monoterpene oxidation) condenses into the &amp;quot;SO&amp;quot; component,&lt;br /&gt;
whereas in &amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai830&#039;&#039;&#039;&amp;lt;/code&amp;gt; SEC_ORG condenses into the &amp;quot;OC&amp;quot; component.&lt;br /&gt;
&lt;br /&gt;
The bottom left panel on each page shows a global map of the ratio of the field&lt;br /&gt;
for the two model runs. One can use this kind of approach to track the fraction&lt;br /&gt;
of the OM that is biogenic and anthropogenic.&lt;br /&gt;
&lt;br /&gt;
Note however that we initialised the SO mmr&#039;s to zero at the start of the 1-day run.&lt;br /&gt;
So the OC1 mmrs will be spinning down and the SO mmrs will be spinning up.&lt;br /&gt;
The daily-mean values are averaging over values on each the 1-hour timesteps over&lt;br /&gt;
which the UKCA chemistry and aerosol processes are integrated.&lt;br /&gt;
So although the ratio shown in the bottom-left on page 2 is indicative of the&lt;br /&gt;
biogenic fraction it should be treated with caution as the fields will not have&lt;br /&gt;
spun-up/down yet.&lt;br /&gt;
&lt;br /&gt;
This task illustrates how one can separate out the aerosol mass from different&lt;br /&gt;
sources and track them separately via a different aerosol component.&lt;br /&gt;
&lt;br /&gt;
One could also introduce a 2nd gas phase species like &amp;quot;SEC_ORG&amp;quot; to track different&lt;br /&gt;
types of SOA. For example one could configure the model so that such a 2nd&lt;br /&gt;
&amp;quot;SEC_ORG2&amp;quot; species held semi-volatile oxidised organic species with only the very&lt;br /&gt;
low volatility oxidised organics held in the usual &amp;quot;SEC_ORG&amp;quot; species.&lt;br /&gt;
&lt;br /&gt;
Page 4 also confirms there is virtually no difference in simulated AOD between &lt;br /&gt;
the job that track both types of OM in one component (u-ai830) and the job&lt;br /&gt;
that has separate components to track primary and secondary OM (u-ai897).&lt;br /&gt;
The very slight difference apparent in some remote regions (e.g. close to&lt;br /&gt;
Patagonia), is likely due to differences associated with the so-called &#039;&#039;MDTfix&#039;&#039; &lt;br /&gt;
code which protects against artefacts in simulated particle size introduced by &lt;br /&gt;
mass-conservation imposed in the advection scheme, and corrects slightly&lt;br /&gt;
differently when the two separate sets of OM tracers are used. &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Written by [[User:Gmann | Graham Mann]] 2016&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5739</id>
		<title>UKCA Chemistry and Aerosol vn10.4 Tutorial 12</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5739"/>
		<updated>2017-01-06T10:12:21Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* Task 12.2 Configure the UKCA tutorial job to run as a double-call job diagnosing aerosol radiative effects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[UKCA Chemistry and Aerosol Tutorials at vn10.4]]&lt;br /&gt;
&lt;br /&gt;
==What you will learn in this Tutorial==&lt;br /&gt;
&lt;br /&gt;
In this tutorial you will learn about how to quantify the radiative effects of aerosol&lt;br /&gt;
simulated by GLOMAP-mode in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
In the first task you will update your copy of the UKCA tutorial job to request radiative&lt;br /&gt;
fluxes allowing the radiative flux perturbation (or effective radiative forcing) to be&lt;br /&gt;
diagnosed based on difference in the fluxes between a pair of UM-UKCA jobs with some&lt;br /&gt;
difference (e.g. pre-industrial and present-day emissions jobs).&lt;br /&gt;
&lt;br /&gt;
The second task involves configuring a copy of the UKCA tutorial job to run in&lt;br /&gt;
&#039;&#039;double-call configuration&#039;&#039; whereby the aerosol radiative effects can be diagnosed&lt;br /&gt;
at each radiation timestep.&lt;br /&gt;
&lt;br /&gt;
==Task 12.1: Update your copy of the UKCA tutorial job to diagnose Top Of the Atmosphere (TOA) radiative fluxes==&lt;br /&gt;
&lt;br /&gt;
In this task you will add STASH requests for SW and LW outgoing radiative fluxes at&lt;br /&gt;
the top of the atmosphere to enable the radiative forcing from a particular change to be diagnosed.&lt;br /&gt;
&lt;br /&gt;
The user should note however that to illustrate the task we are adding these requests to&lt;br /&gt;
the UKCA tutorial job which is just a 1-day simulation.&lt;br /&gt;
&lt;br /&gt;
One would need to average the flux-difference between the pair of simulations over an&lt;br /&gt;
appropriate timescale (e.g. multi-annual monthly-means) in order to diagnose an&lt;br /&gt;
effective radiative forcing appropriately.&lt;br /&gt;
&lt;br /&gt;
Noting the above caveat, proceed and add daily-mean STASH requests for section 1 item 208&lt;br /&gt;
(all-sky outgoing short wave flux at the top-of-the-atmosphere) and section 2 item 205&lt;br /&gt;
(all-sky outgoing long wave flux at the top-of-the-atmosphere) to the updated copy of the     &lt;br /&gt;
UKCA tutorial suite you produced in Task 10 after adding AOD and OM diags (the&lt;br /&gt;
reference job for this is u-ai830).&lt;br /&gt;
&lt;br /&gt;
The radiative fluxes are 2-dimensional diagnostics (longitude by latitude) so you should&lt;br /&gt;
use the DIAG domain profile in this case. For daily-means use the TDAYM time profile.&lt;br /&gt;
Again, since we require the daily-mean fluxes to be output to the .pa file you should&lt;br /&gt;
request the diagnostics with the UPK usage profile.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows the daily-mean SW and LW all-sky TOA radiative flux &lt;br /&gt;
fields from the UKCA tutorial job for 1st September 1999 (produced by&lt;br /&gt;
gmann job u-ai902, which updated from u-ai830 by adding in the requests).&lt;br /&gt;
&lt;br /&gt;
[[File:ai902_SWandLWallskyTOAfluxes.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Example Output===&lt;br /&gt;
&lt;br /&gt;
Example output for Task12.1 can be found on ARCHER in the following directory:&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.1&lt;br /&gt;
&lt;br /&gt;
==Task 12.2 Configure the UKCA tutorial job to run as a &#039;&#039;double-call&#039;&#039; job diagnosing aerosol radiative effects==&lt;br /&gt;
&lt;br /&gt;
In this task you will copy the copy of the standard tutorial job you used in Task 12.1&lt;br /&gt;
(&amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai902&#039;&#039;&#039;&amp;lt;/code&amp;gt;)&lt;br /&gt;
and configure it to run with &#039;&#039;double-call&#039;&#039; to the radiation scheme to diagnose the radiative&lt;br /&gt;
effects of the aerosol simulated by GLOMAP in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
The UM has been coded to allow the user to diagnose radiative effects of a particular&lt;br /&gt;
forcing agent by calling the radiation scheme twice with one of the calls setting the&lt;br /&gt;
agent&#039;s concentration to zero. Special &#039;&#039;forcing&#039;&#039; STASH items are included within the&lt;br /&gt;
UM which store the difference in the radiative fluxes between the two radiation calls.&lt;br /&gt;
&lt;br /&gt;
In the um &#039;&#039;app&#039;&#039; in the Rose GUI go to namelist --&amp;gt; UM Science Settings&lt;br /&gt;
and then choose &#039;&#039;Section 1 - 2: Radiation&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
In the &#039;&#039;General Options&#039;&#039; panel, you see that at the top there is an&lt;br /&gt;
&#039;&#039;i_rad_extra_call&#039;&#039; &amp;quot;Options for multiple calls to radiation&amp;quot; button-selector.&lt;br /&gt;
&lt;br /&gt;
The UKCA tutorial job is set to &amp;quot;Single call&amp;quot; which is the standard way of running the UM&lt;br /&gt;
with a single call to the radiation scheme every radiation timestep (here one hour).&lt;br /&gt;
You see there is a 2nd option there to select &amp;quot;Diagnose radiative forcings&amp;quot;.&lt;br /&gt;
Selecting this option activates the &#039;&#039;double-call&#039;&#039; approach where the radiation scheme&lt;br /&gt;
is called twice on each radiation timestep once with the forcing agent and&lt;br /&gt;
once without it.&lt;br /&gt;
&lt;br /&gt;
With this option, the idea is that the user can then isolate the difference in&lt;br /&gt;
the radiative fluxes (i.e. the forcing) due to a particular forcing agent of&lt;br /&gt;
interest. There are a host of additional settings that become available when&lt;br /&gt;
you select this option setting exactly which forcings to isolate via the&lt;br /&gt;
difference between the main call and the 2nd call.&lt;br /&gt;
&lt;br /&gt;
The default approach, for this &#039;&#039;Diagnose radiative forcings&#039;&#039; option, involves&lt;br /&gt;
the model diagnosing the radiative forcing based on the flux-difference being&lt;br /&gt;
between the &#039;&#039;advancing call&#039;&#039; including the radiative effects of the forcing&lt;br /&gt;
agent (as usual), and the 2nd &#039;&#039;diagnostic call&#039;&#039; to the radiation setting&lt;br /&gt;
that species&#039; concentration to zero (or not including its effects in the&lt;br /&gt;
radiative transfer calculations).&lt;br /&gt;
&lt;br /&gt;
These additional settings for the diagnostic call are set in three of the&lt;br /&gt;
sub-panels of this &#039;&#039;Section 1 - 2: Radiation&#039;&#039; part of the Rose GUI.&lt;br /&gt;
First it can be seen that there are &amp;quot;SW second call&amp;quot; and &amp;quot;LW second call&amp;quot;&lt;br /&gt;
panels that become active.  There is also a separate &#039;&#039;Diagnostic forcing&#039;&#039;&lt;br /&gt;
panel for setting the precise arrangement for this second call to the&lt;br /&gt;
radiation. In this separate panel it is possible to individually (or multiply)&lt;br /&gt;
select the CLASSIC aerosol types to diagnose their radiative effects.&lt;br /&gt;
For GLOMAP-mode it&#039;s different in that it only makes sense to diagnose the&lt;br /&gt;
effects over all the types considered since the different types are often internally&lt;br /&gt;
mixed within each size class.  The user will likely only want to run these&lt;br /&gt;
effects when the settings in the second radiation call match exactly with&lt;br /&gt;
those in the first radiation call (so that the difference then indicates&lt;br /&gt;
the forcing due to the forcing agent of interest rather than any difference&lt;br /&gt;
in settings). If particular experiments are planned, as usual it is recommended&lt;br /&gt;
to discuss with the relevant expert(s) within NCAS or the Met Office.&lt;br /&gt;
&lt;br /&gt;
As explained above, the default UM setting for the double-call is to set&lt;br /&gt;
the species mixing ratio to zero in the diagnostic call with the&lt;br /&gt;
difference then including any fast feedbacks from the forcing agent&lt;br /&gt;
in the advancing call. However, it is often very useful to be able to&lt;br /&gt;
suppress the fast feedbacks from the forcing agent in question by&lt;br /&gt;
reversing the operation of the double-call including the aerosol&lt;br /&gt;
radiative effects only in the diagnostic call&lt;br /&gt;
and setting the species mixing ratio to zero in the advancing call.&lt;br /&gt;
&lt;br /&gt;
With this &#039;&#039;diagnostic double-call radiative forcing&#039;&#039; configuration,&lt;br /&gt;
the difference in radiative fluxes between the two calls then&lt;br /&gt;
provides the aerosol radiative perturbation with respect to an&lt;br /&gt;
atmosphere containing no aerosols. For example, one can diagnose the &lt;br /&gt;
present-day to pre-industrial aerosol radiative forcing by taking the &lt;br /&gt;
difference between two parallel diagnostic-double-call simulations with &lt;br /&gt;
aerosol and precursor emissions set to 1850 and 2000. As long as&lt;br /&gt;
other forcing agents, such as greenhouse gases or land-use change, &lt;br /&gt;
remain fixed at a reference time period, the meteorology should&lt;br /&gt;
then be identical in the two runs, giving a radiative forcing &lt;br /&gt;
signal &amp;quot;clean&amp;quot; from the different transport arising from the&lt;br /&gt;
dynamical response to the aerosol radiative effects.&lt;br /&gt;
&lt;br /&gt;
Often nudging to meteorological re-analysis winds and temperatures is applied in tandem with the double-call configuration&lt;br /&gt;
in which case the composition-climate model is being run in a similar way to an offline chemistry-transport model.&lt;br /&gt;
This approach has been used extensively in aerosol forcing intercomparisons (e.g. the AeroCom direct forcing&lt;br /&gt;
experiments, Myhre et al., 2013, ACP) with the radiative forcings diagnosed from each model with fast feedbacks&lt;br /&gt;
disabled.&lt;br /&gt;
&lt;br /&gt;
Unfortunately, this &#039;&#039;diagnostic double-call&#039;&#039; configuration is not one of&lt;br /&gt;
the supported configurations of the v10.4 release job. As a consequence,&lt;br /&gt;
to run UM-UKCA with this configuration, you will need to add an&lt;br /&gt;
extra FCM branch to the job and also modify the metadata in the&lt;br /&gt;
the Rose GUI to enable the option to run configured in this way.&lt;br /&gt;
&lt;br /&gt;
First add the branch. In the fcm_make_um &#039;&#039;app&#039;&#039; go to &#039;&#039;env&#039;&#039; and&lt;br /&gt;
then &#039;&#039;Sources&#039;&#039;.  There you should add an extra entry to add-in the&lt;br /&gt;
code-changes from revision 32385 of the following FCM branch:&lt;br /&gt;
&lt;br /&gt;
branches/dev/grahammann/vn10.4_updates_for_dblcalaerforc@32385&lt;br /&gt;
&lt;br /&gt;
The code added in that branch applies a new switch C2C_AER_DIAGCAL&lt;br /&gt;
which controls whether the setting of the forcing agent to zero is&lt;br /&gt;
applied on the advancing call (C2C_AER_DIAGCAL is .TRUE.) or&lt;br /&gt;
to retain the standard operation of the double-call where the aerosol&lt;br /&gt;
is included in the advancing call but set to zero in the diagnostic&lt;br /&gt;
call (C2C_AER_DIAGCAL is .FALSE).&lt;br /&gt;
&lt;br /&gt;
We need to use new metadata to enable this switch -- and also to&lt;br /&gt;
add in a new switch C2C_UKCA_I which controls whether the GLOMAP&lt;br /&gt;
indirect effects are included or not.&lt;br /&gt;
&lt;br /&gt;
Just like in the last task, this requires to point the Rose GUI&lt;br /&gt;
to a new rose-meta.conf file within a separate directory outside&lt;br /&gt;
the FCM branch.&lt;br /&gt;
&lt;br /&gt;
In the Rose GUI click on the &#039;&#039;um&#039;&#039; word and you&#039;ll see that&lt;br /&gt;
there is already a separate metadata file specified in that&lt;br /&gt;
job which is set to point to:&lt;br /&gt;
&lt;br /&gt;
/home/grenville/meta/ga7_vn10.4&lt;br /&gt;
&lt;br /&gt;
I have prepared a modified version of this that enables the extra&lt;br /&gt;
C2C_AER_DIAGCAL and C2C_UKCA_I switches to be selected in the Rose GUI.&lt;br /&gt;
So change the file path to instead point to this one:&lt;br /&gt;
&lt;br /&gt;
/home/gmann/meta/ga7_vn10.4_dblcalaerforc&lt;br /&gt;
&lt;br /&gt;
After you have done this, there will be 2 additional buttons&lt;br /&gt;
available in the &#039;&#039;Diagnostic forcing&#039;&#039; panel to allow the user&lt;br /&gt;
to specify the C2C_AER_DIAGCAL and C2C_UKCA_I switches to be&lt;br /&gt;
true or false.&lt;br /&gt;
&lt;br /&gt;
We want to use this diagnostic double call configuration and we want to&lt;br /&gt;
have the forcing be including both the direct and indirect effects&lt;br /&gt;
from the GLOMAP aerosol -- so set C2C_UKCA_D and C2C_UKCA_I to&lt;br /&gt;
be .TRUE.  You should also set the C2C_DUST_D switch to be true&lt;br /&gt;
so that the model is then calculating the overall aerosol&lt;br /&gt;
radiative effects (including both aerosol direct and indirect&lt;br /&gt;
effects with the aerosol consisting of the total of the 6 CLASSIC&lt;br /&gt;
dust bins plus the GLOMAP aerosol modes).  All the other C2C&lt;br /&gt;
switches in that panel should be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
You will also need to update your job to make sure all the settings&lt;br /&gt;
are identical between the diagnostic call and prognostic call&lt;br /&gt;
(in terms of the methods for specifying the clouds and which&lt;br /&gt;
other forcing agents are included or not).&lt;br /&gt;
&lt;br /&gt;
UP TO HERE.&lt;br /&gt;
&lt;br /&gt;
All that remains then is to add in the extra STASH requests for the double-call forcing diagnostics and&lt;br /&gt;
to note a change to the operation of the Aerosol Optical Depth diagnostics.&lt;br /&gt;
&lt;br /&gt;
The approach taken to index the STASH numbers for the radiative forcing items (the flux-difference between&lt;br /&gt;
the two radiation calls) is to apply an offset of +200 to the item number to the corresponding item for&lt;br /&gt;
the conventional radiative fluxes.&lt;br /&gt;
&lt;br /&gt;
In task 12.1 we added STASH requests for the all-sky TOA outgoing SW and LW radiative fluxes which are&lt;br /&gt;
referenced in STASH as section 1 item 208 and section 2 item 205.&lt;br /&gt;
&lt;br /&gt;
To request the all-sky TOA outgoing SW and LW radiative forcings (between the two radiation calls) the&lt;br /&gt;
corresponding item numbers are section 1 item 408 and section 2 item 405.  Unfortunately however,&lt;br /&gt;
at UM v8.4, section 2 item 405 is not available from the UMUI.  In this task we will therefore request&lt;br /&gt;
instead the clear-sky TOA outgoing SW and LW radiative forcing diagnostics (section 1 item 409 and&lt;br /&gt;
section 2 item 406).  Note also that one needs to request both the radiation flux and radiation forcing&lt;br /&gt;
diagnostic in these runs so you should add 4 daily-mean STASH requests for section 1 items 209 and 409&lt;br /&gt;
and section 2 items 206 and 406.&lt;br /&gt;
&lt;br /&gt;
Go to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add the daily-mean (TDAYM)&lt;br /&gt;
requests for both of these flux-forcing pairs of diagnostics. As in Task 10.1, the domain profile&lt;br /&gt;
should be set as DIAG and the usage profile as UPA.&lt;br /&gt;
&lt;br /&gt;
Since we have now configured the model to run with GLOMAP aerosol set to zero in the advancing call,&lt;br /&gt;
the conventional AOD diagnostics introduced in tutorial 10 (section 2 items 300 to 305) will now&lt;br /&gt;
contain zero values when the model is run.&lt;br /&gt;
&lt;br /&gt;
The UM therefore has a second set of AOD diagnostics giving the aerosol optical depth as calculated&lt;br /&gt;
in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The approach for the double-call AOD diagnostics is the same as for the forcing diags, i.e. to&lt;br /&gt;
apply an offset of +200 to the item number to find the corresponding AOD item in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The double-call GLOMAP AOD diagnostics are therefore found in section 2 items 500 to 505.&lt;br /&gt;
&lt;br /&gt;
At v8.4 it is necessary to add an extra user-STASHmaster file to enable these STASH items to be&lt;br /&gt;
requested in the job. In the &#039;&#039;User-STASHmaster files. Diags, Progs &amp;amp; Ancils&#039;&#039; window off the&lt;br /&gt;
STASH panel you need to add in the following file&lt;br /&gt;
&lt;br /&gt;
  ~gmann/stashfiles/dblecall_aods_only.stash&lt;br /&gt;
&lt;br /&gt;
You will also need to add the hand-edit&lt;br /&gt;
&lt;br /&gt;
 ~gmann/umui_jobs/hand_edits/vn8.4_nosulphateAOD.ed&lt;br /&gt;
&lt;br /&gt;
which removes the CLASSIC sulphate AOD as it causes a crash in the double-call forcing configuration.&lt;br /&gt;
You should also remove this STASH number (2-284) as well as the mineral dust optical depth (2-285)&lt;br /&gt;
from the STASH requests panel. This causes a crash on ARCHER, but not on MONSooN.&lt;br /&gt;
&lt;br /&gt;
If you view that file you see that as well as providing the STASH settings for the GLOMAP&lt;br /&gt;
double-call AOD diagnostics for each mode, it also provides the information to the UMUI to allow&lt;br /&gt;
double-call AOD diagnostics to be requested for each of the CLASSIC aerosol types.&lt;br /&gt;
&lt;br /&gt;
Once you have have added the &#039;&#039;dblecall_aods_only.stash&#039;&#039; user-STASHmaster file you should proceed&lt;br /&gt;
to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add daily-mean (TDAYM)&lt;br /&gt;
requests for the double-call GLOMAP AODs (section 2 items 500 to 505) with usage profile UPA&lt;br /&gt;
and domain profile DIAG_AOT.&lt;br /&gt;
&lt;br /&gt;
The simulation will then output daily-mean SW and LW clear-sky forcings and double-call AOD&lt;br /&gt;
diagnostics to the .pa file for your UM-UKCA job.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows daily-mean TOA SW-clearsky and LW-clearsky radiative effect fields for&lt;br /&gt;
the double-call-modified version of the UKCA tutorial (gmann job xkwhi).&lt;br /&gt;
&lt;br /&gt;
[[File:idl_dailyTOAradforcings_SWclearsky_LWclearsky_xkwhi.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Worked Solution===&lt;br /&gt;
&lt;br /&gt;
A worked solution to Task 12.2 can be found in job &amp;lt;code&amp;gt;&#039;&#039;&#039;xjrnn&#039;&#039;&#039;&amp;lt;/code&amp;gt;.&lt;br /&gt;
Sample output from a copy of this job can be found on ARCHER in the directory&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Written by [[User:Gmann | Graham Mann]] 2016&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5738</id>
		<title>UKCA Chemistry and Aerosol vn10.4 Tutorial 12</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5738"/>
		<updated>2017-01-06T10:11:43Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* Task 12.2 Configure the UKCA tutorial job to run as a double-call job diagnosing aerosol radiative effects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[UKCA Chemistry and Aerosol Tutorials at vn10.4]]&lt;br /&gt;
&lt;br /&gt;
==What you will learn in this Tutorial==&lt;br /&gt;
&lt;br /&gt;
In this tutorial you will learn about how to quantify the radiative effects of aerosol&lt;br /&gt;
simulated by GLOMAP-mode in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
In the first task you will update your copy of the UKCA tutorial job to request radiative&lt;br /&gt;
fluxes allowing the radiative flux perturbation (or effective radiative forcing) to be&lt;br /&gt;
diagnosed based on difference in the fluxes between a pair of UM-UKCA jobs with some&lt;br /&gt;
difference (e.g. pre-industrial and present-day emissions jobs).&lt;br /&gt;
&lt;br /&gt;
The second task involves configuring a copy of the UKCA tutorial job to run in&lt;br /&gt;
&#039;&#039;double-call configuration&#039;&#039; whereby the aerosol radiative effects can be diagnosed&lt;br /&gt;
at each radiation timestep.&lt;br /&gt;
&lt;br /&gt;
==Task 12.1: Update your copy of the UKCA tutorial job to diagnose Top Of the Atmosphere (TOA) radiative fluxes==&lt;br /&gt;
&lt;br /&gt;
In this task you will add STASH requests for SW and LW outgoing radiative fluxes at&lt;br /&gt;
the top of the atmosphere to enable the radiative forcing from a particular change to be diagnosed.&lt;br /&gt;
&lt;br /&gt;
The user should note however that to illustrate the task we are adding these requests to&lt;br /&gt;
the UKCA tutorial job which is just a 1-day simulation.&lt;br /&gt;
&lt;br /&gt;
One would need to average the flux-difference between the pair of simulations over an&lt;br /&gt;
appropriate timescale (e.g. multi-annual monthly-means) in order to diagnose an&lt;br /&gt;
effective radiative forcing appropriately.&lt;br /&gt;
&lt;br /&gt;
Noting the above caveat, proceed and add daily-mean STASH requests for section 1 item 208&lt;br /&gt;
(all-sky outgoing short wave flux at the top-of-the-atmosphere) and section 2 item 205&lt;br /&gt;
(all-sky outgoing long wave flux at the top-of-the-atmosphere) to the updated copy of the     &lt;br /&gt;
UKCA tutorial suite you produced in Task 10 after adding AOD and OM diags (the&lt;br /&gt;
reference job for this is u-ai830).&lt;br /&gt;
&lt;br /&gt;
The radiative fluxes are 2-dimensional diagnostics (longitude by latitude) so you should&lt;br /&gt;
use the DIAG domain profile in this case. For daily-means use the TDAYM time profile.&lt;br /&gt;
Again, since we require the daily-mean fluxes to be output to the .pa file you should&lt;br /&gt;
request the diagnostics with the UPK usage profile.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows the daily-mean SW and LW all-sky TOA radiative flux &lt;br /&gt;
fields from the UKCA tutorial job for 1st September 1999 (produced by&lt;br /&gt;
gmann job u-ai902, which updated from u-ai830 by adding in the requests).&lt;br /&gt;
&lt;br /&gt;
[[File:ai902_SWandLWallskyTOAfluxes.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Example Output===&lt;br /&gt;
&lt;br /&gt;
Example output for Task12.1 can be found on ARCHER in the following directory:&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.1&lt;br /&gt;
&lt;br /&gt;
==Task 12.2 Configure the UKCA tutorial job to run as a &#039;&#039;double-call&#039;&#039; job diagnosing aerosol radiative effects==&lt;br /&gt;
&lt;br /&gt;
In this task you will copy the copy of the standard tutorial job you used in Task 12.1&lt;br /&gt;
(&amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai902&#039;&#039;&#039;&amp;lt;/code&amp;gt;)&lt;br /&gt;
and configure it to run with &#039;&#039;double-call&#039;&#039; to the radiation scheme to diagnose the radiative&lt;br /&gt;
effects of the aerosol simulated by GLOMAP in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
The UM has been coded to allow the user to diagnose radiative effects of a particular&lt;br /&gt;
forcing agent by calling the radiation scheme twice with one of the calls setting the&lt;br /&gt;
agent&#039;s concentration to zero. Special &#039;&#039;forcing&#039;&#039; STASH items are included within the&lt;br /&gt;
UM which store the difference in the radiative fluxes between the two radiation calls.&lt;br /&gt;
&lt;br /&gt;
In the um &#039;&#039;app&#039;&#039; in the Rose GUI go to namelist --&amp;gt; UM Science Settings&lt;br /&gt;
and then choose &#039;&#039;Section 1 - 2: Radiation&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
In the &#039;&#039;General Options&#039;&#039; panel, you see that at the top there is an&lt;br /&gt;
&#039;&#039;i_rad_extra_call&#039;&#039; &amp;quot;Options for multiple calls to radiation&amp;quot; button-selector.&lt;br /&gt;
&lt;br /&gt;
The UKCA tutorial job is set to &amp;quot;Single call&amp;quot; which is the standard way of running the UM&lt;br /&gt;
with a single call to the radiation scheme every radiation timestep (here one hour).&lt;br /&gt;
You see there is a 2nd option there to select &amp;quot;Diagnose radiative forcings&amp;quot;.&lt;br /&gt;
Selecting this option activates the &#039;&#039;double-call&#039;&#039; approach where the radiation scheme&lt;br /&gt;
is called twice on each radiation timestep once with the forcing agent and&lt;br /&gt;
once without it.&lt;br /&gt;
&lt;br /&gt;
With this option, the idea is that the user can then isolate the difference in&lt;br /&gt;
the radiative fluxes (i.e. the forcing) due to a particular forcing agent of&lt;br /&gt;
interest. There are a host of additional settings that become available when&lt;br /&gt;
you select this option setting exactly which forcings to isolate via the&lt;br /&gt;
difference between the main call and the 2nd call.&lt;br /&gt;
&lt;br /&gt;
The default approach, for this &#039;&#039;Diagnose radiative forcings&#039;&#039; option, involves&lt;br /&gt;
the model diagnosing the radiative forcing based on the flux-difference being&lt;br /&gt;
between the &#039;&#039;advancing call&#039;&#039; including the radiative effects of the forcing&lt;br /&gt;
agent (as usual), and the 2nd &#039;&#039;diagnostic call&#039;&#039; to the radiation setting&lt;br /&gt;
that species&#039; concentration to zero (or not including its effects in the&lt;br /&gt;
radiative transfer calculations).&lt;br /&gt;
&lt;br /&gt;
These additional settings for the diagnostic call are set in three of the&lt;br /&gt;
sub-panels of this &#039;&#039;Section 1 - 2: Radiation&#039;&#039; part of the Rose GUI.&lt;br /&gt;
First it can be seen that there are &amp;quot;SW second call&amp;quot; and &amp;quot;LW second call&amp;quot;&lt;br /&gt;
panels that become active.  There is also a separate &#039;&#039;Diagnostic forcing&#039;&#039;&lt;br /&gt;
panel for setting the precise arrangement for this second call to the&lt;br /&gt;
radiation. In this separate panel it is possible to individually (or multiply)&lt;br /&gt;
select the CLASSIC aerosol types to diagnose their radiative effects.&lt;br /&gt;
For GLOMAP-mode it&#039;s different in that it only makes sense to diagnose the&lt;br /&gt;
effects over all the types considered since the different types are often internally&lt;br /&gt;
mixed within each size class.  The user will likely only want to run these&lt;br /&gt;
effects when the settings in the second radiation call match exactly with&lt;br /&gt;
those in the first radiation call (so that the difference then indicates&lt;br /&gt;
the forcing due to the forcing agent of interest rather than any difference&lt;br /&gt;
in settings). If particular experiments are planned, as usual it is recommended&lt;br /&gt;
to discuss with the relevant expert(s) within NCAS or the Met Office.&lt;br /&gt;
&lt;br /&gt;
As explained above, the default UM setting for the double-call is to set&lt;br /&gt;
the species mixing ratio to zero in the diagnostic call with the&lt;br /&gt;
difference then including any fast feedbacks from the forcing agent&lt;br /&gt;
in the advancing call. However, it is often very useful to be able to&lt;br /&gt;
suppress the fast feedbacks from the forcing agent in question by&lt;br /&gt;
reversing the operation of the double-call including the aerosol&lt;br /&gt;
radiative effects only in the diagnostic call&lt;br /&gt;
and setting the species mixing ratio to zero in the advancing call.&lt;br /&gt;
&lt;br /&gt;
With this &#039;&#039;diagnostic double-call radiative forcing&#039;&#039; configuration,&lt;br /&gt;
the difference in radiative fluxes between the two calls then&lt;br /&gt;
provides the aerosol radiative perturbation with respect to an&lt;br /&gt;
atmosphere containing no aerosols. For example, one can diagnose the &lt;br /&gt;
present-day to pre-industrial aerosol radiative forcing by taking the &lt;br /&gt;
difference between two parallel diagnostic-double-call simulations with &lt;br /&gt;
aerosol and precursor emissions set to 1850 and 2000. As long as&lt;br /&gt;
other forcing agents, such as greenhouse gases or land-use change, &lt;br /&gt;
remain fixed at a reference time period, the meteorology should&lt;br /&gt;
then be identical in the two runs, giving a radiative forcing &lt;br /&gt;
signal &amp;quot;clean&amp;quot; from the different transport arising from the&lt;br /&gt;
dynamical response to the aerosol radiative effects.&lt;br /&gt;
&lt;br /&gt;
Often nudging to meteorological re-analysis winds and temperatures is applied in tandem with the double-call configuration&lt;br /&gt;
in which case the composition-climate model is being run in a similar way to an offline chemistry-transport model.&lt;br /&gt;
This approach has been used extensively in aerosol forcing intercomparisons (e.g. the AeroCom direct forcing&lt;br /&gt;
experiments, Myhre et al., 2013, ACP) with the radiative forcings diagnosed from each model with fast feedbacks&lt;br /&gt;
disabled.&lt;br /&gt;
&lt;br /&gt;
Unfortunately, this &#039;&#039;diagnostic double-call&#039;&#039; configuration is not one of&lt;br /&gt;
the supported configurations of the v10.4 release job. As a consequence,&lt;br /&gt;
to run UM-UKCA with this configuration, you will need to add an&lt;br /&gt;
extra FCM branch to the job and also modify the metadata in the&lt;br /&gt;
the Rose GUI to enable the option to run configured in this way.&lt;br /&gt;
&lt;br /&gt;
First add the branch. In the fcm_make_um &#039;&#039;app&#039;&#039; go to &#039;&#039;env&#039;&#039; and&lt;br /&gt;
then &#039;&#039;Sources&#039;&#039;.  There you should add an extra entry to add-in the&lt;br /&gt;
code-changes from revision 32385 of the following FCM branch:&lt;br /&gt;
&lt;br /&gt;
branches/dev/grahammann/vn10.4_updates_for_dblcalaerforc@32385&lt;br /&gt;
&lt;br /&gt;
The code added in that branch applies a new switch C2C_AER_DIAGCAL&lt;br /&gt;
which controls whether the setting of the forcing agent to zero is&lt;br /&gt;
applied on the advancing call (C2C_AER_DIAGCAL is .TRUE.) or&lt;br /&gt;
to retain the standard operation of the double-call where the aerosol&lt;br /&gt;
is included in the advancing call but set to zero in the diagnostic&lt;br /&gt;
call (C2C_AER_DIAGCAL is .FALSE).&lt;br /&gt;
&lt;br /&gt;
We need to use new metadata to enable this switch -- and also to&lt;br /&gt;
add in a new switch C2C_UKCA_I which controls whether the GLOMAP&lt;br /&gt;
indirect effects are included or not.&lt;br /&gt;
&lt;br /&gt;
Just like in the last task, this requires to point the Rose GUI&lt;br /&gt;
to a new rose-meta.conf file within a separate directory outside&lt;br /&gt;
the FCM branch.&lt;br /&gt;
&lt;br /&gt;
In the Rose GUI click on the &#039;&#039;um&#039;&#039; word and you&#039;ll see that&lt;br /&gt;
there is already a separate metadata file specified in that&lt;br /&gt;
job which is set to point to:&lt;br /&gt;
&lt;br /&gt;
/home/grenville/meta/ga7_vn10.4&lt;br /&gt;
&lt;br /&gt;
I have prepared a modified version of this that enables the extra&lt;br /&gt;
C2C_AER_DIAGCAL and C2C_UKCA_I switches to be selected in the Rose GUI.&lt;br /&gt;
So change the file path to instead point to this one:&lt;br /&gt;
&lt;br /&gt;
/home/gmann/meta/ga7_vn10.4_dblcalaerforc&lt;br /&gt;
&lt;br /&gt;
After you have done this, there will be 2 additional buttons&lt;br /&gt;
available in the &#039;&#039;Diagnostic forcing&#039;&#039; panel to allow the user&lt;br /&gt;
to specify the C2C_AER_DIAGCAL and C2C_UKCA_I switches to be&lt;br /&gt;
true or false.&lt;br /&gt;
&lt;br /&gt;
We want to use this diagnostic call configuration and we want to&lt;br /&gt;
have the forcing be including both the direct and indirect effects&lt;br /&gt;
from the GLOMAP aerosol -- so set C2C_UKCA_D and C2C_UKCA_I to&lt;br /&gt;
be .TRUE.  You should also set the C2C_DUST_D switch to be true&lt;br /&gt;
so that the model is then calculating the overall aerosol&lt;br /&gt;
radiative effects (including both aerosol direct and indirect&lt;br /&gt;
effects with the aerosol consisting of the total of the 6 CLASSIC&lt;br /&gt;
dust bins plus the GLOMAP aerosol modes).  All the other C2C&lt;br /&gt;
switches in that panel should be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
You will also need to update your job to make sure all the settings&lt;br /&gt;
are identical between the diagnostic call and prognostic call&lt;br /&gt;
(in terms of the methods for specifying the clouds and which&lt;br /&gt;
other forcing agents are included or not).&lt;br /&gt;
&lt;br /&gt;
UP TO HERE.&lt;br /&gt;
&lt;br /&gt;
All that remains then is to add in the extra STASH requests for the double-call forcing diagnostics and&lt;br /&gt;
to note a change to the operation of the Aerosol Optical Depth diagnostics.&lt;br /&gt;
&lt;br /&gt;
The approach taken to index the STASH numbers for the radiative forcing items (the flux-difference between&lt;br /&gt;
the two radiation calls) is to apply an offset of +200 to the item number to the corresponding item for&lt;br /&gt;
the conventional radiative fluxes.&lt;br /&gt;
&lt;br /&gt;
In task 12.1 we added STASH requests for the all-sky TOA outgoing SW and LW radiative fluxes which are&lt;br /&gt;
referenced in STASH as section 1 item 208 and section 2 item 205.&lt;br /&gt;
&lt;br /&gt;
To request the all-sky TOA outgoing SW and LW radiative forcings (between the two radiation calls) the&lt;br /&gt;
corresponding item numbers are section 1 item 408 and section 2 item 405.  Unfortunately however,&lt;br /&gt;
at UM v8.4, section 2 item 405 is not available from the UMUI.  In this task we will therefore request&lt;br /&gt;
instead the clear-sky TOA outgoing SW and LW radiative forcing diagnostics (section 1 item 409 and&lt;br /&gt;
section 2 item 406).  Note also that one needs to request both the radiation flux and radiation forcing&lt;br /&gt;
diagnostic in these runs so you should add 4 daily-mean STASH requests for section 1 items 209 and 409&lt;br /&gt;
and section 2 items 206 and 406.&lt;br /&gt;
&lt;br /&gt;
Go to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add the daily-mean (TDAYM)&lt;br /&gt;
requests for both of these flux-forcing pairs of diagnostics. As in Task 10.1, the domain profile&lt;br /&gt;
should be set as DIAG and the usage profile as UPA.&lt;br /&gt;
&lt;br /&gt;
Since we have now configured the model to run with GLOMAP aerosol set to zero in the advancing call,&lt;br /&gt;
the conventional AOD diagnostics introduced in tutorial 10 (section 2 items 300 to 305) will now&lt;br /&gt;
contain zero values when the model is run.&lt;br /&gt;
&lt;br /&gt;
The UM therefore has a second set of AOD diagnostics giving the aerosol optical depth as calculated&lt;br /&gt;
in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The approach for the double-call AOD diagnostics is the same as for the forcing diags, i.e. to&lt;br /&gt;
apply an offset of +200 to the item number to find the corresponding AOD item in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The double-call GLOMAP AOD diagnostics are therefore found in section 2 items 500 to 505.&lt;br /&gt;
&lt;br /&gt;
At v8.4 it is necessary to add an extra user-STASHmaster file to enable these STASH items to be&lt;br /&gt;
requested in the job. In the &#039;&#039;User-STASHmaster files. Diags, Progs &amp;amp; Ancils&#039;&#039; window off the&lt;br /&gt;
STASH panel you need to add in the following file&lt;br /&gt;
&lt;br /&gt;
  ~gmann/stashfiles/dblecall_aods_only.stash&lt;br /&gt;
&lt;br /&gt;
You will also need to add the hand-edit&lt;br /&gt;
&lt;br /&gt;
 ~gmann/umui_jobs/hand_edits/vn8.4_nosulphateAOD.ed&lt;br /&gt;
&lt;br /&gt;
which removes the CLASSIC sulphate AOD as it causes a crash in the double-call forcing configuration.&lt;br /&gt;
You should also remove this STASH number (2-284) as well as the mineral dust optical depth (2-285)&lt;br /&gt;
from the STASH requests panel. This causes a crash on ARCHER, but not on MONSooN.&lt;br /&gt;
&lt;br /&gt;
If you view that file you see that as well as providing the STASH settings for the GLOMAP&lt;br /&gt;
double-call AOD diagnostics for each mode, it also provides the information to the UMUI to allow&lt;br /&gt;
double-call AOD diagnostics to be requested for each of the CLASSIC aerosol types.&lt;br /&gt;
&lt;br /&gt;
Once you have have added the &#039;&#039;dblecall_aods_only.stash&#039;&#039; user-STASHmaster file you should proceed&lt;br /&gt;
to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add daily-mean (TDAYM)&lt;br /&gt;
requests for the double-call GLOMAP AODs (section 2 items 500 to 505) with usage profile UPA&lt;br /&gt;
and domain profile DIAG_AOT.&lt;br /&gt;
&lt;br /&gt;
The simulation will then output daily-mean SW and LW clear-sky forcings and double-call AOD&lt;br /&gt;
diagnostics to the .pa file for your UM-UKCA job.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows daily-mean TOA SW-clearsky and LW-clearsky radiative effect fields for&lt;br /&gt;
the double-call-modified version of the UKCA tutorial (gmann job xkwhi).&lt;br /&gt;
&lt;br /&gt;
[[File:idl_dailyTOAradforcings_SWclearsky_LWclearsky_xkwhi.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Worked Solution===&lt;br /&gt;
&lt;br /&gt;
A worked solution to Task 12.2 can be found in job &amp;lt;code&amp;gt;&#039;&#039;&#039;xjrnn&#039;&#039;&#039;&amp;lt;/code&amp;gt;.&lt;br /&gt;
Sample output from a copy of this job can be found on ARCHER in the directory&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Written by [[User:Gmann | Graham Mann]] 2016&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5737</id>
		<title>UKCA Chemistry and Aerosol vn10.4 Tutorial 12</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5737"/>
		<updated>2017-01-06T10:09:44Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* Task 12.2 Configure the UKCA tutorial job to run as a double-call job diagnosing aerosol radiative effects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[UKCA Chemistry and Aerosol Tutorials at vn10.4]]&lt;br /&gt;
&lt;br /&gt;
==What you will learn in this Tutorial==&lt;br /&gt;
&lt;br /&gt;
In this tutorial you will learn about how to quantify the radiative effects of aerosol&lt;br /&gt;
simulated by GLOMAP-mode in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
In the first task you will update your copy of the UKCA tutorial job to request radiative&lt;br /&gt;
fluxes allowing the radiative flux perturbation (or effective radiative forcing) to be&lt;br /&gt;
diagnosed based on difference in the fluxes between a pair of UM-UKCA jobs with some&lt;br /&gt;
difference (e.g. pre-industrial and present-day emissions jobs).&lt;br /&gt;
&lt;br /&gt;
The second task involves configuring a copy of the UKCA tutorial job to run in&lt;br /&gt;
&#039;&#039;double-call configuration&#039;&#039; whereby the aerosol radiative effects can be diagnosed&lt;br /&gt;
at each radiation timestep.&lt;br /&gt;
&lt;br /&gt;
==Task 12.1: Update your copy of the UKCA tutorial job to diagnose Top Of the Atmosphere (TOA) radiative fluxes==&lt;br /&gt;
&lt;br /&gt;
In this task you will add STASH requests for SW and LW outgoing radiative fluxes at&lt;br /&gt;
the top of the atmosphere to enable the radiative forcing from a particular change to be diagnosed.&lt;br /&gt;
&lt;br /&gt;
The user should note however that to illustrate the task we are adding these requests to&lt;br /&gt;
the UKCA tutorial job which is just a 1-day simulation.&lt;br /&gt;
&lt;br /&gt;
One would need to average the flux-difference between the pair of simulations over an&lt;br /&gt;
appropriate timescale (e.g. multi-annual monthly-means) in order to diagnose an&lt;br /&gt;
effective radiative forcing appropriately.&lt;br /&gt;
&lt;br /&gt;
Noting the above caveat, proceed and add daily-mean STASH requests for section 1 item 208&lt;br /&gt;
(all-sky outgoing short wave flux at the top-of-the-atmosphere) and section 2 item 205&lt;br /&gt;
(all-sky outgoing long wave flux at the top-of-the-atmosphere) to the updated copy of the     &lt;br /&gt;
UKCA tutorial suite you produced in Task 10 after adding AOD and OM diags (the&lt;br /&gt;
reference job for this is u-ai830).&lt;br /&gt;
&lt;br /&gt;
The radiative fluxes are 2-dimensional diagnostics (longitude by latitude) so you should&lt;br /&gt;
use the DIAG domain profile in this case. For daily-means use the TDAYM time profile.&lt;br /&gt;
Again, since we require the daily-mean fluxes to be output to the .pa file you should&lt;br /&gt;
request the diagnostics with the UPK usage profile.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows the daily-mean SW and LW all-sky TOA radiative flux &lt;br /&gt;
fields from the UKCA tutorial job for 1st September 1999 (produced by&lt;br /&gt;
gmann job u-ai902, which updated from u-ai830 by adding in the requests).&lt;br /&gt;
&lt;br /&gt;
[[File:ai902_SWandLWallskyTOAfluxes.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Example Output===&lt;br /&gt;
&lt;br /&gt;
Example output for Task12.1 can be found on ARCHER in the following directory:&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.1&lt;br /&gt;
&lt;br /&gt;
==Task 12.2 Configure the UKCA tutorial job to run as a &#039;&#039;double-call&#039;&#039; job diagnosing aerosol radiative effects==&lt;br /&gt;
&lt;br /&gt;
In this task you will copy the copy of the standard tutorial job you used in Task 12.1&lt;br /&gt;
(&amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai902&#039;&#039;&#039;&amp;lt;/code&amp;gt;)&lt;br /&gt;
and configure it to run with &#039;&#039;double-call&#039;&#039; to the radiation scheme to diagnose the radiative&lt;br /&gt;
effects of the aerosol simulated by GLOMAP in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
The UM has been coded to allow the user to diagnose radiative effects of a particular&lt;br /&gt;
forcing agent by calling the radiation scheme twice with one of the calls setting the&lt;br /&gt;
agent&#039;s concentration to zero. Special &#039;&#039;forcing&#039;&#039; STASH items are included within the&lt;br /&gt;
UM which store the difference in the radiative fluxes between the two radiation calls.&lt;br /&gt;
&lt;br /&gt;
In the um &#039;&#039;app&#039;&#039; in the Rose GUI go to namelist --&amp;gt; UM Science Settings&lt;br /&gt;
and then choose &#039;&#039;Section 1 - 2: Radiation&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
In the &#039;&#039;General Options&#039;&#039; panel, you see that at the top there is an&lt;br /&gt;
&#039;&#039;i_rad_extra_call&#039;&#039; &amp;quot;Options for multiple calls to radiation&amp;quot; button-selector.&lt;br /&gt;
&lt;br /&gt;
The UKCA tutorial job is set to &amp;quot;Single call&amp;quot; which is the standard way of running the UM&lt;br /&gt;
with a single call to the radiation scheme every radiation timestep (here one hour).&lt;br /&gt;
You see there is a 2nd option there to select &amp;quot;Diagnose radiative forcings&amp;quot;.&lt;br /&gt;
Selecting this option activates the &#039;&#039;double-call&#039;&#039; approach where the radiation scheme&lt;br /&gt;
is called twice on each radiation timestep once with the forcing agent and&lt;br /&gt;
once without it.&lt;br /&gt;
&lt;br /&gt;
With this option, the idea is that the user can then isolate the difference in&lt;br /&gt;
the radiative fluxes (i.e. the forcing) due to a particular forcing agent of&lt;br /&gt;
interest. There are a host of additional settings that become available when&lt;br /&gt;
you select this option setting exactly which forcings to isolate via the&lt;br /&gt;
difference between the main call and the 2nd call.&lt;br /&gt;
&lt;br /&gt;
The default approach, for this &#039;&#039;Diagnose radiative forcings&#039;&#039; option, involves&lt;br /&gt;
the model diagnosing the radiative forcing based on the flux-difference being&lt;br /&gt;
between the &#039;&#039;advancing call&#039;&#039; including the radiative effects of the forcing&lt;br /&gt;
agent (as usual), and the 2nd &#039;&#039;diagnostic call&#039;&#039; to the radiation setting&lt;br /&gt;
that species&#039; concentration to zero (or not including its effects in the&lt;br /&gt;
radiative transfer calculations).&lt;br /&gt;
&lt;br /&gt;
These additional settings for the diagnostic call are set in three of the&lt;br /&gt;
sub-panels of this &#039;&#039;Section 1 - 2: Radiation&#039;&#039; part of the Rose GUI.&lt;br /&gt;
First it can be seen that there are &amp;quot;SW second call&amp;quot; and &amp;quot;LW second call&amp;quot;&lt;br /&gt;
panels that become active.  There is also a separate &#039;&#039;Diagnostic forcing&#039;&#039;&lt;br /&gt;
panel for setting the precise arrangement for this second call to the&lt;br /&gt;
radiation. In this separate panel it is possible to individually (or multiply)&lt;br /&gt;
select the CLASSIC aerosol types to diagnose their radiative effects.&lt;br /&gt;
For GLOMAP-mode it&#039;s different in that it only makes sense to diagnose the&lt;br /&gt;
effects over all the types considered since the different types are often internally&lt;br /&gt;
mixed within each size class.  The user will likely only want to run these&lt;br /&gt;
effects when the settings in the second radiation call match exactly with&lt;br /&gt;
those in the first radiation call (so that the difference then indicates&lt;br /&gt;
the forcing due to the forcing agent of interest rather than any difference&lt;br /&gt;
in settings). If particular experiments are planned, as usual it is recommended&lt;br /&gt;
to discuss with the relevant expert(s) within NCAS or the Met Office.&lt;br /&gt;
&lt;br /&gt;
As explained above, the default UM setting for the double-call is to set&lt;br /&gt;
the species mixing ratio to zero in the diagnostic call with the&lt;br /&gt;
difference then including any fast feedbacks from the forcing agent&lt;br /&gt;
in the advancing call. However, it is often very useful to be able to&lt;br /&gt;
suppress the fast feedbacks from the forcing agent in question by&lt;br /&gt;
reversing the operation of the double-call including the aerosol&lt;br /&gt;
radiative effects only in the diagnostic call&lt;br /&gt;
and setting the species mixing ratio to zero in the advancing call.&lt;br /&gt;
&lt;br /&gt;
With this &#039;&#039;diagnostic double-call radiative forcing&#039;&#039; configuration,&lt;br /&gt;
the difference in radiative fluxes between the two calls then&lt;br /&gt;
provides the aerosol radiative perturbation with respect to an&lt;br /&gt;
atmosphere containing no aerosols. For example, one can diagnose the &lt;br /&gt;
present-day to pre-industrial aerosol radiative forcing by taking the &lt;br /&gt;
difference between two parallel diagnostic-double-call simulations with &lt;br /&gt;
aerosol and precursor emissions set to 1850 and 2000. As long as&lt;br /&gt;
other forcing agents, such as greenhouse gases or land-use change, &lt;br /&gt;
remain fixed at a reference time period, the meteorology should&lt;br /&gt;
then be identical in the two runs, giving a radiative forcing &lt;br /&gt;
signal &amp;quot;clean&amp;quot; from the different transport arising from the&lt;br /&gt;
dynamical response to the aerosol radiative effects.&lt;br /&gt;
&lt;br /&gt;
Often nudging to meteorological re-analysis winds and temperatures is applied in tandem with the double-call configuration&lt;br /&gt;
in which case the composition-climate model is being run in a similar way to an offline chemistry-transport model.&lt;br /&gt;
This approach has been used extensively in aerosol forcing intercomparisons (e.g. the AeroCom direct forcing&lt;br /&gt;
experiments, Myhre et al., 2013, ACP) with the radiative forcings diagnosed from each model with fast feedbacks&lt;br /&gt;
disabled.&lt;br /&gt;
&lt;br /&gt;
Unfortunately, this &#039;&#039;diagnostic double-call&#039;&#039; configuration is not one of&lt;br /&gt;
the supported configurations of the v10.4 release job. As a consequence,&lt;br /&gt;
to run UM-UKCA with this configuration, you will need to add an&lt;br /&gt;
extra FCM branch to the job and also modify the metadata in the&lt;br /&gt;
the Rose GUI to enable the option to run configured in this way.&lt;br /&gt;
&lt;br /&gt;
First add the branch. In the fcm_make_um &#039;&#039;app&#039;&#039; go to &#039;&#039;env&#039;&#039; and&lt;br /&gt;
then &#039;&#039;Sources&#039;&#039;.  There you should add an extra entry to add-in the&lt;br /&gt;
code-changes from revision 32385 of the following FCM branch:&lt;br /&gt;
&lt;br /&gt;
branches/dev/grahammann/vn10.4_updates_for_dblcalaerforc@32385&lt;br /&gt;
&lt;br /&gt;
The code added in that branch applies a new switch C2C_AER_DIAGCAL&lt;br /&gt;
which controls whether the setting of the forcing agent to zero is&lt;br /&gt;
applied on the advancing call (C2C_AER_DIAGCAL is .TRUE.) or&lt;br /&gt;
to retain the standard operation of the double-call where the aerosol&lt;br /&gt;
is included in the advancing call but set to zero in the diagnostic&lt;br /&gt;
call (C2C_AER_DIAGCAL is .FALSE).&lt;br /&gt;
&lt;br /&gt;
We need to use new metadata to enable this switch -- and also to&lt;br /&gt;
add in a new switch C2C_UKCA_I which controls whether the GLOMAP&lt;br /&gt;
indirect effects are included or not.&lt;br /&gt;
&lt;br /&gt;
Just like in the last task, this requires to point the Rose GUI&lt;br /&gt;
to a new rose-meta.conf file within a separate directory outside&lt;br /&gt;
the FCM branch.&lt;br /&gt;
&lt;br /&gt;
In the Rose GUI click on the &#039;&#039;um&#039;&#039; word and you&#039;ll see that&lt;br /&gt;
there is already a separate metadata file specified in that&lt;br /&gt;
job which is set to point to:&lt;br /&gt;
&lt;br /&gt;
/home/grenville/meta/ga7_vn10.4&lt;br /&gt;
&lt;br /&gt;
I have prepared a modified version of this that enables the extra&lt;br /&gt;
C2C_AER_DIAGCAL and C2C_UKCA_I switches to be selected in the Rose GUI.&lt;br /&gt;
So change the file path to instead point to this one:&lt;br /&gt;
&lt;br /&gt;
/home/gmann/meta/ga7_vn10.4_dblcalaerforc&lt;br /&gt;
&lt;br /&gt;
After you have done this, there will be 2 additional buttons&lt;br /&gt;
available in the &#039;&#039;Diagnostic forcing&#039;&#039; panel to allow the user&lt;br /&gt;
to select the C2C_AER_DIAGCAL and C2C_UKCA_I switches.&lt;br /&gt;
&lt;br /&gt;
We want to use this diagnostic call configuration and we want to&lt;br /&gt;
have the forcing be including both the direct and indirect effects&lt;br /&gt;
from the GLOMAP aerosol -- so set C2C_UKCA_D and C2C_UKCA_I to&lt;br /&gt;
be .TRUE.  You should also set the C2C_DUST_D switch to be true&lt;br /&gt;
so that the model is then calculating the overall aerosol&lt;br /&gt;
radiative effects (including both aerosol direct and indirect&lt;br /&gt;
effects with the aerosol consisting of the total of the 6 CLASSIC&lt;br /&gt;
dust bins plus the GLOMAP aerosol modes).  All the other C2C&lt;br /&gt;
switches in that panel should be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
You will also need to update your job to make sure all the settings&lt;br /&gt;
are identical between the diagnostic call and prognostic call&lt;br /&gt;
(in terms of the methods for specifying the clouds and which&lt;br /&gt;
other forcing agents are included or not).&lt;br /&gt;
&lt;br /&gt;
UP TO HERE.&lt;br /&gt;
&lt;br /&gt;
All that remains then is to add in the extra STASH requests for the double-call forcing diagnostics and&lt;br /&gt;
to note a change to the operation of the Aerosol Optical Depth diagnostics.&lt;br /&gt;
&lt;br /&gt;
The approach taken to index the STASH numbers for the radiative forcing items (the flux-difference between&lt;br /&gt;
the two radiation calls) is to apply an offset of +200 to the item number to the corresponding item for&lt;br /&gt;
the conventional radiative fluxes.&lt;br /&gt;
&lt;br /&gt;
In task 12.1 we added STASH requests for the all-sky TOA outgoing SW and LW radiative fluxes which are&lt;br /&gt;
referenced in STASH as section 1 item 208 and section 2 item 205.&lt;br /&gt;
&lt;br /&gt;
To request the all-sky TOA outgoing SW and LW radiative forcings (between the two radiation calls) the&lt;br /&gt;
corresponding item numbers are section 1 item 408 and section 2 item 405.  Unfortunately however,&lt;br /&gt;
at UM v8.4, section 2 item 405 is not available from the UMUI.  In this task we will therefore request&lt;br /&gt;
instead the clear-sky TOA outgoing SW and LW radiative forcing diagnostics (section 1 item 409 and&lt;br /&gt;
section 2 item 406).  Note also that one needs to request both the radiation flux and radiation forcing&lt;br /&gt;
diagnostic in these runs so you should add 4 daily-mean STASH requests for section 1 items 209 and 409&lt;br /&gt;
and section 2 items 206 and 406.&lt;br /&gt;
&lt;br /&gt;
Go to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add the daily-mean (TDAYM)&lt;br /&gt;
requests for both of these flux-forcing pairs of diagnostics. As in Task 10.1, the domain profile&lt;br /&gt;
should be set as DIAG and the usage profile as UPA.&lt;br /&gt;
&lt;br /&gt;
Since we have now configured the model to run with GLOMAP aerosol set to zero in the advancing call,&lt;br /&gt;
the conventional AOD diagnostics introduced in tutorial 10 (section 2 items 300 to 305) will now&lt;br /&gt;
contain zero values when the model is run.&lt;br /&gt;
&lt;br /&gt;
The UM therefore has a second set of AOD diagnostics giving the aerosol optical depth as calculated&lt;br /&gt;
in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The approach for the double-call AOD diagnostics is the same as for the forcing diags, i.e. to&lt;br /&gt;
apply an offset of +200 to the item number to find the corresponding AOD item in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The double-call GLOMAP AOD diagnostics are therefore found in section 2 items 500 to 505.&lt;br /&gt;
&lt;br /&gt;
At v8.4 it is necessary to add an extra user-STASHmaster file to enable these STASH items to be&lt;br /&gt;
requested in the job. In the &#039;&#039;User-STASHmaster files. Diags, Progs &amp;amp; Ancils&#039;&#039; window off the&lt;br /&gt;
STASH panel you need to add in the following file&lt;br /&gt;
&lt;br /&gt;
  ~gmann/stashfiles/dblecall_aods_only.stash&lt;br /&gt;
&lt;br /&gt;
You will also need to add the hand-edit&lt;br /&gt;
&lt;br /&gt;
 ~gmann/umui_jobs/hand_edits/vn8.4_nosulphateAOD.ed&lt;br /&gt;
&lt;br /&gt;
which removes the CLASSIC sulphate AOD as it causes a crash in the double-call forcing configuration.&lt;br /&gt;
You should also remove this STASH number (2-284) as well as the mineral dust optical depth (2-285)&lt;br /&gt;
from the STASH requests panel. This causes a crash on ARCHER, but not on MONSooN.&lt;br /&gt;
&lt;br /&gt;
If you view that file you see that as well as providing the STASH settings for the GLOMAP&lt;br /&gt;
double-call AOD diagnostics for each mode, it also provides the information to the UMUI to allow&lt;br /&gt;
double-call AOD diagnostics to be requested for each of the CLASSIC aerosol types.&lt;br /&gt;
&lt;br /&gt;
Once you have have added the &#039;&#039;dblecall_aods_only.stash&#039;&#039; user-STASHmaster file you should proceed&lt;br /&gt;
to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add daily-mean (TDAYM)&lt;br /&gt;
requests for the double-call GLOMAP AODs (section 2 items 500 to 505) with usage profile UPA&lt;br /&gt;
and domain profile DIAG_AOT.&lt;br /&gt;
&lt;br /&gt;
The simulation will then output daily-mean SW and LW clear-sky forcings and double-call AOD&lt;br /&gt;
diagnostics to the .pa file for your UM-UKCA job.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows daily-mean TOA SW-clearsky and LW-clearsky radiative effect fields for&lt;br /&gt;
the double-call-modified version of the UKCA tutorial (gmann job xkwhi).&lt;br /&gt;
&lt;br /&gt;
[[File:idl_dailyTOAradforcings_SWclearsky_LWclearsky_xkwhi.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Worked Solution===&lt;br /&gt;
&lt;br /&gt;
A worked solution to Task 12.2 can be found in job &amp;lt;code&amp;gt;&#039;&#039;&#039;xjrnn&#039;&#039;&#039;&amp;lt;/code&amp;gt;.&lt;br /&gt;
Sample output from a copy of this job can be found on ARCHER in the directory&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Written by [[User:Gmann | Graham Mann]] 2016&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5736</id>
		<title>UKCA Chemistry and Aerosol vn10.4 Tutorial 12</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5736"/>
		<updated>2017-01-06T10:08:45Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* Task 12.2 Configure the UKCA tutorial job to run as a double-call job diagnosing aerosol radiative effects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[UKCA Chemistry and Aerosol Tutorials at vn10.4]]&lt;br /&gt;
&lt;br /&gt;
==What you will learn in this Tutorial==&lt;br /&gt;
&lt;br /&gt;
In this tutorial you will learn about how to quantify the radiative effects of aerosol&lt;br /&gt;
simulated by GLOMAP-mode in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
In the first task you will update your copy of the UKCA tutorial job to request radiative&lt;br /&gt;
fluxes allowing the radiative flux perturbation (or effective radiative forcing) to be&lt;br /&gt;
diagnosed based on difference in the fluxes between a pair of UM-UKCA jobs with some&lt;br /&gt;
difference (e.g. pre-industrial and present-day emissions jobs).&lt;br /&gt;
&lt;br /&gt;
The second task involves configuring a copy of the UKCA tutorial job to run in&lt;br /&gt;
&#039;&#039;double-call configuration&#039;&#039; whereby the aerosol radiative effects can be diagnosed&lt;br /&gt;
at each radiation timestep.&lt;br /&gt;
&lt;br /&gt;
==Task 12.1: Update your copy of the UKCA tutorial job to diagnose Top Of the Atmosphere (TOA) radiative fluxes==&lt;br /&gt;
&lt;br /&gt;
In this task you will add STASH requests for SW and LW outgoing radiative fluxes at&lt;br /&gt;
the top of the atmosphere to enable the radiative forcing from a particular change to be diagnosed.&lt;br /&gt;
&lt;br /&gt;
The user should note however that to illustrate the task we are adding these requests to&lt;br /&gt;
the UKCA tutorial job which is just a 1-day simulation.&lt;br /&gt;
&lt;br /&gt;
One would need to average the flux-difference between the pair of simulations over an&lt;br /&gt;
appropriate timescale (e.g. multi-annual monthly-means) in order to diagnose an&lt;br /&gt;
effective radiative forcing appropriately.&lt;br /&gt;
&lt;br /&gt;
Noting the above caveat, proceed and add daily-mean STASH requests for section 1 item 208&lt;br /&gt;
(all-sky outgoing short wave flux at the top-of-the-atmosphere) and section 2 item 205&lt;br /&gt;
(all-sky outgoing long wave flux at the top-of-the-atmosphere) to the updated copy of the     &lt;br /&gt;
UKCA tutorial suite you produced in Task 10 after adding AOD and OM diags (the&lt;br /&gt;
reference job for this is u-ai830).&lt;br /&gt;
&lt;br /&gt;
The radiative fluxes are 2-dimensional diagnostics (longitude by latitude) so you should&lt;br /&gt;
use the DIAG domain profile in this case. For daily-means use the TDAYM time profile.&lt;br /&gt;
Again, since we require the daily-mean fluxes to be output to the .pa file you should&lt;br /&gt;
request the diagnostics with the UPK usage profile.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows the daily-mean SW and LW all-sky TOA radiative flux &lt;br /&gt;
fields from the UKCA tutorial job for 1st September 1999 (produced by&lt;br /&gt;
gmann job u-ai902, which updated from u-ai830 by adding in the requests).&lt;br /&gt;
&lt;br /&gt;
[[File:ai902_SWandLWallskyTOAfluxes.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Example Output===&lt;br /&gt;
&lt;br /&gt;
Example output for Task12.1 can be found on ARCHER in the following directory:&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.1&lt;br /&gt;
&lt;br /&gt;
==Task 12.2 Configure the UKCA tutorial job to run as a &#039;&#039;double-call&#039;&#039; job diagnosing aerosol radiative effects==&lt;br /&gt;
&lt;br /&gt;
In this task you will copy the copy of the standard tutorial job you used in Task 12.1&lt;br /&gt;
(&amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai902&#039;&#039;&#039;&amp;lt;/code&amp;gt;)&lt;br /&gt;
and configure it to run with &#039;&#039;double-call&#039;&#039; to the radiation scheme to diagnose the radiative&lt;br /&gt;
effects of the aerosol simulated by GLOMAP in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
The UM has been coded to allow the user to diagnose radiative effects of a particular&lt;br /&gt;
forcing agent by calling the radiation scheme twice with one of the calls setting the&lt;br /&gt;
agent&#039;s concentration to zero. Special &#039;&#039;forcing&#039;&#039; STASH items are included within the&lt;br /&gt;
UM which store the difference in the radiative fluxes between the two radiation calls.&lt;br /&gt;
&lt;br /&gt;
In the um &#039;&#039;app&#039;&#039; in the Rose GUI go to namelist --&amp;gt; UM Science Settings&lt;br /&gt;
and then choose &#039;&#039;Section 1 - 2: Radiation&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
In the &#039;&#039;General Options&#039;&#039; panel, you see that at the top there is an&lt;br /&gt;
&#039;&#039;i_rad_extra_call&#039;&#039; &amp;quot;Options for multiple calls to radiation&amp;quot; button-selector.&lt;br /&gt;
&lt;br /&gt;
The UKCA tutorial job is set to &amp;quot;Single call&amp;quot; which is the standard way of running the UM&lt;br /&gt;
with a single call to the radiation scheme every radiation timestep (here one hour).&lt;br /&gt;
You see there is a 2nd option there to select &amp;quot;Diagnose radiative forcings&amp;quot;.&lt;br /&gt;
Selecting this option activates the &#039;&#039;double-call&#039;&#039; approach where the radiation scheme&lt;br /&gt;
is called twice on each radiation timestep once with the forcing agent and&lt;br /&gt;
once without it.&lt;br /&gt;
&lt;br /&gt;
With this option, the idea is that the user can then isolate the difference in&lt;br /&gt;
the radiative fluxes (i.e. the forcing) due to a particular forcing agent of&lt;br /&gt;
interest. There are a host of additional settings that become available when&lt;br /&gt;
you select this option setting exactly which forcings to isolate via the&lt;br /&gt;
difference between the main call and the 2nd call.&lt;br /&gt;
&lt;br /&gt;
The default approach, for this &#039;&#039;Diagnose radiative forcings&#039;&#039; option, involves&lt;br /&gt;
the model diagnosing the radiative forcing based on the flux-difference being&lt;br /&gt;
between the &#039;&#039;advancing call&#039;&#039; including the radiative effects of the forcing&lt;br /&gt;
agent (as usual), and the 2nd &#039;&#039;diagnostic call&#039;&#039; to the radiation setting&lt;br /&gt;
that species&#039; concentration to zero (or not including its effects in the&lt;br /&gt;
radiative transfer calculations).&lt;br /&gt;
&lt;br /&gt;
These additional settings for the diagnostic call are set in three of the&lt;br /&gt;
sub-panels of this &#039;&#039;Section 1 - 2: Radiation&#039;&#039; part of the Rose GUI.&lt;br /&gt;
First it can be seen that there are &amp;quot;SW second call&amp;quot; and &amp;quot;LW second call&amp;quot;&lt;br /&gt;
panels that become active.  There is also a separate &#039;&#039;Diagnostic forcing&#039;&#039;&lt;br /&gt;
panel for setting the precise arrangement for this second call to the&lt;br /&gt;
radiation. In this separate panel it is possible to individually (or multiply)&lt;br /&gt;
select the CLASSIC aerosol types to diagnose their radiative effects.&lt;br /&gt;
For GLOMAP-mode it&#039;s different in that it only makes sense to diagnose the&lt;br /&gt;
effects over all the types considered since the different types are often internally&lt;br /&gt;
mixed within each size class.  The user will likely only want to run these&lt;br /&gt;
effects when the settings in the second radiation call match exactly with&lt;br /&gt;
those in the first radiation call (so that the difference then indicates&lt;br /&gt;
the forcing due to the forcing agent of interest rather than any difference&lt;br /&gt;
in settings). If particular experiments are planned, as usual it is recommended&lt;br /&gt;
to discuss with the relevant expert(s) within NCAS or the Met Office.&lt;br /&gt;
&lt;br /&gt;
As explained above, the default UM setting for the double-call is to set&lt;br /&gt;
the species mixing ratio to zero in the diagnostic call with the&lt;br /&gt;
difference then including any fast feedbacks from the forcing agent&lt;br /&gt;
in the advancing call. However, it is often very useful to be able to&lt;br /&gt;
suppress the fast feedbacks from the forcing agent in question by&lt;br /&gt;
reversing the operation of the double-call including the aerosol&lt;br /&gt;
radiative effects only in the diagnostic call&lt;br /&gt;
and setting the species mixing ratio to zero in the advancing call.&lt;br /&gt;
&lt;br /&gt;
With this &#039;&#039;diagnostic double-call radiative forcing&#039;&#039; configuration,&lt;br /&gt;
the difference in radiative fluxes between the two calls then&lt;br /&gt;
provides the aerosol radiative perturbation with respect to an&lt;br /&gt;
atmosphere containing no aerosols. For example, one can diagnose the &lt;br /&gt;
present-day to pre-industrial aerosol radiative forcing by taking the &lt;br /&gt;
difference between two parallel diagnostic-double-call simulations with &lt;br /&gt;
aerosol and precursor emissions set to 1850 and 2000. As long as&lt;br /&gt;
other forcing agents, such as greenhouse gases or land-use change, &lt;br /&gt;
remain fixed at a reference time period, the meteorology should&lt;br /&gt;
then be identical in the two runs, giving a radiative forcing &lt;br /&gt;
signal &amp;quot;clean&amp;quot; from the different transport arising from the&lt;br /&gt;
dynamical response to the aerosol radiative effects.&lt;br /&gt;
&lt;br /&gt;
Often nudging to meteorological re-analysis winds and temperatures is applied in tandem with the double-call configuration&lt;br /&gt;
in which case the composition-climate model is being run in a similar way to an offline chemistry-transport model.&lt;br /&gt;
This approach has been used extensively in aerosol forcing intercomparisons (e.g. the AeroCom direct forcing&lt;br /&gt;
experiments, Myhre et al., 2013, ACP) with the radiative forcings diagnosed from each model with fast feedbacks&lt;br /&gt;
disabled.&lt;br /&gt;
&lt;br /&gt;
Unfortunately, this &#039;&#039;diagnostic double-call&#039;&#039; configuration is not one of&lt;br /&gt;
the supported configurations of the v10.4 release job. As a consequence,&lt;br /&gt;
to run UM-UKCA with this configuration, you will need to add an&lt;br /&gt;
extra FCM branch to the job and also modify the metadata in the&lt;br /&gt;
the Rose GUI to enable the option to run configured in this way.&lt;br /&gt;
&lt;br /&gt;
First add the branch. In the fcm_make_um &#039;&#039;app&#039;&#039; go to &#039;&#039;env&#039;&#039; and&lt;br /&gt;
then &#039;&#039;Sources&#039;&#039;.  There you should add an extra entry to add-in the&lt;br /&gt;
code-changes from revision 32385 of the following FCM branch:&lt;br /&gt;
&lt;br /&gt;
branches/dev/grahammann/vn10.4_updates_for_dblcalaerforc@32385&lt;br /&gt;
&lt;br /&gt;
The code added in that branch applies a new switch C2C_AER_DIAGCAL&lt;br /&gt;
which controls whether the setting of the forcing agent to zero is&lt;br /&gt;
applied on the advancing call (C2C_AER_DIAGCAL is .TRUE.) or&lt;br /&gt;
to retain the standard operation of the double-call where the aerosol&lt;br /&gt;
is included in the advancing call but set to zero in the diagnostic&lt;br /&gt;
call (C2C_AER_DIAGCAL is .FALSE).&lt;br /&gt;
&lt;br /&gt;
We need to use new metadata to enable this switch -- and also to&lt;br /&gt;
add in a new switch C2C_UKCA_I which controls whether the GLOMAP&lt;br /&gt;
indirect effects are included in the diagnostic call or not.&lt;br /&gt;
&lt;br /&gt;
Just like in the last task, this requires to point the Rose GUI&lt;br /&gt;
to a new rose-meta.conf file within a separate directory outside&lt;br /&gt;
the FCM branch.&lt;br /&gt;
&lt;br /&gt;
In the Rose GUI click on the &#039;&#039;um&#039;&#039; word and you&#039;ll see that&lt;br /&gt;
there is already a separate metadata file specified in that&lt;br /&gt;
job which is set to point to:&lt;br /&gt;
&lt;br /&gt;
/home/grenville/meta/ga7_vn10.4&lt;br /&gt;
&lt;br /&gt;
I have prepared a modified version of this that enables the extra&lt;br /&gt;
C2C_AER_DIAGCAL and C2C_UKCA_I switches to be selected in the Rose GUI.&lt;br /&gt;
So change the file path to instead point to this one:&lt;br /&gt;
&lt;br /&gt;
/home/gmann/meta/ga7_vn10.4_dblcalaerforc&lt;br /&gt;
&lt;br /&gt;
After you have done this, there will be 2 additional buttons&lt;br /&gt;
available in the &#039;&#039;Diagnostic forcing&#039;&#039; panel to allow the user&lt;br /&gt;
to select the C2C_AER_DIAGCAL and C2C_UKCA_I switches.&lt;br /&gt;
&lt;br /&gt;
We want to use this diagnostic call configuration and we want to&lt;br /&gt;
have the forcing be including both the direct and indirect effects&lt;br /&gt;
from the GLOMAP aerosol -- so set C2C_UKCA_D and C2C_UKCA_I to&lt;br /&gt;
be .TRUE.  You should also set the C2C_DUST_D switch to be true&lt;br /&gt;
so that the model is then calculating the overall aerosol&lt;br /&gt;
radiative effects (including both aerosol direct and indirect&lt;br /&gt;
effects with the aerosol consisting of the total of the 6 CLASSIC&lt;br /&gt;
dust bins plus the GLOMAP aerosol modes).  All the other C2C&lt;br /&gt;
switches in that panel should be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
You will also need to update your job to make sure all the settings&lt;br /&gt;
are identical between the diagnostic call and prognostic call&lt;br /&gt;
(in terms of the methods for specifying the clouds and which&lt;br /&gt;
other forcing agents are included or not).&lt;br /&gt;
&lt;br /&gt;
UP TO HERE.&lt;br /&gt;
&lt;br /&gt;
All that remains then is to add in the extra STASH requests for the double-call forcing diagnostics and&lt;br /&gt;
to note a change to the operation of the Aerosol Optical Depth diagnostics.&lt;br /&gt;
&lt;br /&gt;
The approach taken to index the STASH numbers for the radiative forcing items (the flux-difference between&lt;br /&gt;
the two radiation calls) is to apply an offset of +200 to the item number to the corresponding item for&lt;br /&gt;
the conventional radiative fluxes.&lt;br /&gt;
&lt;br /&gt;
In task 12.1 we added STASH requests for the all-sky TOA outgoing SW and LW radiative fluxes which are&lt;br /&gt;
referenced in STASH as section 1 item 208 and section 2 item 205.&lt;br /&gt;
&lt;br /&gt;
To request the all-sky TOA outgoing SW and LW radiative forcings (between the two radiation calls) the&lt;br /&gt;
corresponding item numbers are section 1 item 408 and section 2 item 405.  Unfortunately however,&lt;br /&gt;
at UM v8.4, section 2 item 405 is not available from the UMUI.  In this task we will therefore request&lt;br /&gt;
instead the clear-sky TOA outgoing SW and LW radiative forcing diagnostics (section 1 item 409 and&lt;br /&gt;
section 2 item 406).  Note also that one needs to request both the radiation flux and radiation forcing&lt;br /&gt;
diagnostic in these runs so you should add 4 daily-mean STASH requests for section 1 items 209 and 409&lt;br /&gt;
and section 2 items 206 and 406.&lt;br /&gt;
&lt;br /&gt;
Go to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add the daily-mean (TDAYM)&lt;br /&gt;
requests for both of these flux-forcing pairs of diagnostics. As in Task 10.1, the domain profile&lt;br /&gt;
should be set as DIAG and the usage profile as UPA.&lt;br /&gt;
&lt;br /&gt;
Since we have now configured the model to run with GLOMAP aerosol set to zero in the advancing call,&lt;br /&gt;
the conventional AOD diagnostics introduced in tutorial 10 (section 2 items 300 to 305) will now&lt;br /&gt;
contain zero values when the model is run.&lt;br /&gt;
&lt;br /&gt;
The UM therefore has a second set of AOD diagnostics giving the aerosol optical depth as calculated&lt;br /&gt;
in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The approach for the double-call AOD diagnostics is the same as for the forcing diags, i.e. to&lt;br /&gt;
apply an offset of +200 to the item number to find the corresponding AOD item in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The double-call GLOMAP AOD diagnostics are therefore found in section 2 items 500 to 505.&lt;br /&gt;
&lt;br /&gt;
At v8.4 it is necessary to add an extra user-STASHmaster file to enable these STASH items to be&lt;br /&gt;
requested in the job. In the &#039;&#039;User-STASHmaster files. Diags, Progs &amp;amp; Ancils&#039;&#039; window off the&lt;br /&gt;
STASH panel you need to add in the following file&lt;br /&gt;
&lt;br /&gt;
  ~gmann/stashfiles/dblecall_aods_only.stash&lt;br /&gt;
&lt;br /&gt;
You will also need to add the hand-edit&lt;br /&gt;
&lt;br /&gt;
 ~gmann/umui_jobs/hand_edits/vn8.4_nosulphateAOD.ed&lt;br /&gt;
&lt;br /&gt;
which removes the CLASSIC sulphate AOD as it causes a crash in the double-call forcing configuration.&lt;br /&gt;
You should also remove this STASH number (2-284) as well as the mineral dust optical depth (2-285)&lt;br /&gt;
from the STASH requests panel. This causes a crash on ARCHER, but not on MONSooN.&lt;br /&gt;
&lt;br /&gt;
If you view that file you see that as well as providing the STASH settings for the GLOMAP&lt;br /&gt;
double-call AOD diagnostics for each mode, it also provides the information to the UMUI to allow&lt;br /&gt;
double-call AOD diagnostics to be requested for each of the CLASSIC aerosol types.&lt;br /&gt;
&lt;br /&gt;
Once you have have added the &#039;&#039;dblecall_aods_only.stash&#039;&#039; user-STASHmaster file you should proceed&lt;br /&gt;
to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add daily-mean (TDAYM)&lt;br /&gt;
requests for the double-call GLOMAP AODs (section 2 items 500 to 505) with usage profile UPA&lt;br /&gt;
and domain profile DIAG_AOT.&lt;br /&gt;
&lt;br /&gt;
The simulation will then output daily-mean SW and LW clear-sky forcings and double-call AOD&lt;br /&gt;
diagnostics to the .pa file for your UM-UKCA job.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows daily-mean TOA SW-clearsky and LW-clearsky radiative effect fields for&lt;br /&gt;
the double-call-modified version of the UKCA tutorial (gmann job xkwhi).&lt;br /&gt;
&lt;br /&gt;
[[File:idl_dailyTOAradforcings_SWclearsky_LWclearsky_xkwhi.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Worked Solution===&lt;br /&gt;
&lt;br /&gt;
A worked solution to Task 12.2 can be found in job &amp;lt;code&amp;gt;&#039;&#039;&#039;xjrnn&#039;&#039;&#039;&amp;lt;/code&amp;gt;.&lt;br /&gt;
Sample output from a copy of this job can be found on ARCHER in the directory&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Written by [[User:Gmann | Graham Mann]] 2016&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5735</id>
		<title>UKCA Chemistry and Aerosol vn10.4 Tutorial 12</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5735"/>
		<updated>2017-01-06T10:06:28Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* Task 12.2 Configure the UKCA tutorial job to run as a double-call job diagnosing aerosol radiative effects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[UKCA Chemistry and Aerosol Tutorials at vn10.4]]&lt;br /&gt;
&lt;br /&gt;
==What you will learn in this Tutorial==&lt;br /&gt;
&lt;br /&gt;
In this tutorial you will learn about how to quantify the radiative effects of aerosol&lt;br /&gt;
simulated by GLOMAP-mode in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
In the first task you will update your copy of the UKCA tutorial job to request radiative&lt;br /&gt;
fluxes allowing the radiative flux perturbation (or effective radiative forcing) to be&lt;br /&gt;
diagnosed based on difference in the fluxes between a pair of UM-UKCA jobs with some&lt;br /&gt;
difference (e.g. pre-industrial and present-day emissions jobs).&lt;br /&gt;
&lt;br /&gt;
The second task involves configuring a copy of the UKCA tutorial job to run in&lt;br /&gt;
&#039;&#039;double-call configuration&#039;&#039; whereby the aerosol radiative effects can be diagnosed&lt;br /&gt;
at each radiation timestep.&lt;br /&gt;
&lt;br /&gt;
==Task 12.1: Update your copy of the UKCA tutorial job to diagnose Top Of the Atmosphere (TOA) radiative fluxes==&lt;br /&gt;
&lt;br /&gt;
In this task you will add STASH requests for SW and LW outgoing radiative fluxes at&lt;br /&gt;
the top of the atmosphere to enable the radiative forcing from a particular change to be diagnosed.&lt;br /&gt;
&lt;br /&gt;
The user should note however that to illustrate the task we are adding these requests to&lt;br /&gt;
the UKCA tutorial job which is just a 1-day simulation.&lt;br /&gt;
&lt;br /&gt;
One would need to average the flux-difference between the pair of simulations over an&lt;br /&gt;
appropriate timescale (e.g. multi-annual monthly-means) in order to diagnose an&lt;br /&gt;
effective radiative forcing appropriately.&lt;br /&gt;
&lt;br /&gt;
Noting the above caveat, proceed and add daily-mean STASH requests for section 1 item 208&lt;br /&gt;
(all-sky outgoing short wave flux at the top-of-the-atmosphere) and section 2 item 205&lt;br /&gt;
(all-sky outgoing long wave flux at the top-of-the-atmosphere) to the updated copy of the     &lt;br /&gt;
UKCA tutorial suite you produced in Task 10 after adding AOD and OM diags (the&lt;br /&gt;
reference job for this is u-ai830).&lt;br /&gt;
&lt;br /&gt;
The radiative fluxes are 2-dimensional diagnostics (longitude by latitude) so you should&lt;br /&gt;
use the DIAG domain profile in this case. For daily-means use the TDAYM time profile.&lt;br /&gt;
Again, since we require the daily-mean fluxes to be output to the .pa file you should&lt;br /&gt;
request the diagnostics with the UPK usage profile.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows the daily-mean SW and LW all-sky TOA radiative flux &lt;br /&gt;
fields from the UKCA tutorial job for 1st September 1999 (produced by&lt;br /&gt;
gmann job u-ai902, which updated from u-ai830 by adding in the requests).&lt;br /&gt;
&lt;br /&gt;
[[File:ai902_SWandLWallskyTOAfluxes.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Example Output===&lt;br /&gt;
&lt;br /&gt;
Example output for Task12.1 can be found on ARCHER in the following directory:&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.1&lt;br /&gt;
&lt;br /&gt;
==Task 12.2 Configure the UKCA tutorial job to run as a &#039;&#039;double-call&#039;&#039; job diagnosing aerosol radiative effects==&lt;br /&gt;
&lt;br /&gt;
In this task you will copy the copy of the standard tutorial job you used in Task 12.1&lt;br /&gt;
(&amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai902&#039;&#039;&#039;&amp;lt;/code&amp;gt;)&lt;br /&gt;
and configure it to run with &#039;&#039;double-call&#039;&#039; to the radiation scheme to diagnose the radiative&lt;br /&gt;
effects of the aerosol simulated by GLOMAP in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
The UM has been coded to allow the user to diagnose radiative effects of a particular&lt;br /&gt;
forcing agent by calling the radiation scheme twice with one of the calls setting the&lt;br /&gt;
agent&#039;s concentration to zero. Special &#039;&#039;forcing&#039;&#039; STASH items are included within the&lt;br /&gt;
UM which store the difference in the radiative fluxes between the two radiation calls.&lt;br /&gt;
&lt;br /&gt;
In the um &#039;&#039;app&#039;&#039; in the Rose GUI go to namelist --&amp;gt; UM Science Settings&lt;br /&gt;
and then choose &#039;&#039;Section 1 - 2: Radiation&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
In the &#039;&#039;General Options&#039;&#039; panel, you see that at the top there is an&lt;br /&gt;
&#039;&#039;i_rad_extra_call&#039;&#039; &amp;quot;Options for multiple calls to radiation&amp;quot; button-selector.&lt;br /&gt;
&lt;br /&gt;
The UKCA tutorial job is set to &amp;quot;Single call&amp;quot; which is the standard way of running the UM&lt;br /&gt;
with a single call to the radiation scheme every radiation timestep (here one hour).&lt;br /&gt;
You see there is a 2nd option there to select &amp;quot;Diagnose radiative forcings&amp;quot;.&lt;br /&gt;
Selecting this option activates the &#039;&#039;double-call&#039;&#039; approach where the radiation scheme&lt;br /&gt;
is called twice on each radiation timestep once with the forcing agent and&lt;br /&gt;
once without it.&lt;br /&gt;
&lt;br /&gt;
With this option, the idea is that the user can then isolate the difference in&lt;br /&gt;
the radiative fluxes (i.e. the forcing) due to a particular forcing agent of&lt;br /&gt;
interest. There are a host of additional settings that become available when&lt;br /&gt;
you select this option setting exactly which forcings to isolate via the&lt;br /&gt;
difference between the main call and the 2nd call.&lt;br /&gt;
&lt;br /&gt;
The default approach, for this &#039;&#039;Diagnose radiative forcings&#039;&#039; option, involves&lt;br /&gt;
the model diagnosing the radiative forcing based on the flux-difference being&lt;br /&gt;
between the &#039;&#039;advancing call&#039;&#039; including the radiative effects of the forcing&lt;br /&gt;
agent (as usual), and the 2nd &#039;&#039;diagnostic call&#039;&#039; to the radiation setting&lt;br /&gt;
that species&#039; concentration to zero (or not including its effects in the&lt;br /&gt;
radiative transfer calculations).&lt;br /&gt;
&lt;br /&gt;
These additional settings for the diagnostic call are set in three of the&lt;br /&gt;
sub-panels of this &#039;&#039;Section 1 - 2: Radiation&#039;&#039; part of the Rose GUI.&lt;br /&gt;
First it can be seen that there are &amp;quot;SW second call&amp;quot; and &amp;quot;LW second call&amp;quot;&lt;br /&gt;
panels that become active.  There is also a separate &#039;&#039;Diagnostic forcing&#039;&#039;&lt;br /&gt;
panel for setting the precise arrangement for this second call to the&lt;br /&gt;
radiation. In this separate panel it is possible to individually (or multiply)&lt;br /&gt;
select the CLASSIC aerosol types to diagnose their radiative effects.&lt;br /&gt;
For GLOMAP-mode it&#039;s different in that it only makes sense to diagnose the&lt;br /&gt;
effects over all the types considered since the different types are often internally&lt;br /&gt;
mixed within each size class.  The user will likely only want to run these&lt;br /&gt;
effects when the settings in the second radiation call match exactly with&lt;br /&gt;
those in the first radiation call (so that the difference then indicates&lt;br /&gt;
the forcing due to the forcing agent of interest rather than any difference&lt;br /&gt;
in settings). If particular experiments are planned, as usual it is recommended&lt;br /&gt;
to discuss with the relevant expert(s) within NCAS or the Met Office.&lt;br /&gt;
&lt;br /&gt;
As explained above, the default UM setting for the double-call is to set&lt;br /&gt;
the species mixing ratio to zero in the diagnostic call with the&lt;br /&gt;
difference then including any fast feedbacks from the forcing agent&lt;br /&gt;
in the advancing call. However, it is often very useful to be able to&lt;br /&gt;
suppress the fast feedbacks from the forcing agent in question by&lt;br /&gt;
reversing the operation of the double-call including the aerosol&lt;br /&gt;
radiative effects only in the diagnostic call&lt;br /&gt;
and setting the species mixing ratio to zero in the advancing call.&lt;br /&gt;
&lt;br /&gt;
With this &#039;&#039;diagnostic double-call radiative forcing&#039;&#039; configuration,&lt;br /&gt;
the difference in radiative fluxes between the two calls then&lt;br /&gt;
provides the aerosol radiative perturbation with respect to an&lt;br /&gt;
atmosphere containing no aerosols. For example, one can diagnose the &lt;br /&gt;
present-day to pre-industrial aerosol radiative forcing by taking the &lt;br /&gt;
difference between two parallel diagnostic-double-call simulations with &lt;br /&gt;
aerosol and precursor emissions set to 1850 and 2000. As long as&lt;br /&gt;
other forcing agents, such as greenhouse gases or land-use change, &lt;br /&gt;
remain fixed at a reference time period, the meteorology should&lt;br /&gt;
then be identical in the two runs, giving a radiative forcing &lt;br /&gt;
signal &amp;quot;clean&amp;quot; from the different transport arising from the&lt;br /&gt;
dynamical response to the aerosol radiative effects.&lt;br /&gt;
&lt;br /&gt;
Often nudging to meteorological re-analysis winds and temperatures is applied in tandem with the double-call configuration&lt;br /&gt;
in which case the composition-climate model is being run in a similar way to an offline chemistry-transport model.&lt;br /&gt;
This approach has been used extensively in aerosol forcing intercomparisons (e.g. the AeroCom direct forcing&lt;br /&gt;
experiments, Myhre et al., 2013, ACP) with the radiative forcings diagnosed from each model with fast feedbacks&lt;br /&gt;
disabled.&lt;br /&gt;
&lt;br /&gt;
Unfortunately, this &#039;&#039;diagnostic double-call&#039;&#039; configuration is not one of&lt;br /&gt;
the supported configurations of the v10.4 release job. As a consequence,&lt;br /&gt;
to run UM-UKCA with this configuration, you will need to add an&lt;br /&gt;
extra FCM branch to the job and also modify the metadata in the&lt;br /&gt;
the Rose GUI to enable the option to run configured in this way.&lt;br /&gt;
&lt;br /&gt;
First add the branch. In the fcm_make_um &#039;&#039;app&#039;&#039; go to &#039;&#039;env&#039;&#039; and&lt;br /&gt;
then &#039;&#039;Sources&#039;&#039;.  There you should add an extra entry to add-in the&lt;br /&gt;
code-changes from revision 32385 of the following FCM branch:&lt;br /&gt;
&lt;br /&gt;
branches/dev/grahammann/vn10.4_updates_for_dblcalaerforc@32385&lt;br /&gt;
&lt;br /&gt;
The code added in that branch applies a new switch C2C_AER_DIAGCAL&lt;br /&gt;
which controls whether the setting of the forcing agent to zero is&lt;br /&gt;
applied on the advancing call (C2C_AER_DIAGCAL will be .TRUE.&lt;br /&gt;
because the GLOMAP aerosol is included only in the diagnostic call).&lt;br /&gt;
To retain the standard operation of the double-call where the aerosol&lt;br /&gt;
is included in the advancing call but set to zero in the diagnostic&lt;br /&gt;
call, the C2C_AER_DIAGCAL needs to be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
We need to use new metadata to enable this switch -- and also to&lt;br /&gt;
add in a new switch C2C_UKCA_I which controls whether the GLOMAP&lt;br /&gt;
indirect effects are included in the diagnostic call or not.&lt;br /&gt;
&lt;br /&gt;
Just like in the last task, this requires to point the Rose GUI&lt;br /&gt;
to a new rose-meta.conf file within a separate directory outside&lt;br /&gt;
the FCM branch.&lt;br /&gt;
&lt;br /&gt;
In the Rose GUI click on the &#039;&#039;um&#039;&#039; word and you&#039;ll see that&lt;br /&gt;
there is already a separate metadata file specified in that&lt;br /&gt;
job which is set to point to:&lt;br /&gt;
&lt;br /&gt;
/home/grenville/meta/ga7_vn10.4&lt;br /&gt;
&lt;br /&gt;
I have prepared a modified version of this that enables the extra&lt;br /&gt;
C2C_AER_DIAGCAL and C2C_UKCA_I switches to be selected in the Rose GUI.&lt;br /&gt;
So change the file path to instead point to this one:&lt;br /&gt;
&lt;br /&gt;
/home/gmann/meta/ga7_vn10.4_dblcalaerforc&lt;br /&gt;
&lt;br /&gt;
After you have done this, there will be 2 additional buttons&lt;br /&gt;
available in the &#039;&#039;Diagnostic forcing&#039;&#039; panel to allow the user&lt;br /&gt;
to select the C2C_AER_DIAGCAL and C2C_UKCA_I switches.&lt;br /&gt;
&lt;br /&gt;
We want to use this diagnostic call configuration and we want to&lt;br /&gt;
have the forcing be including both the direct and indirect effects&lt;br /&gt;
from the GLOMAP aerosol -- so set C2C_UKCA_D and C2C_UKCA_I to&lt;br /&gt;
be .TRUE.  You should also set the C2C_DUST_D switch to be true&lt;br /&gt;
so that the model is then calculating the overall aerosol&lt;br /&gt;
radiative effects (including both aerosol direct and indirect&lt;br /&gt;
effects with the aerosol consisting of the total of the 6 CLASSIC&lt;br /&gt;
dust bins plus the GLOMAP aerosol modes).  All the other C2C&lt;br /&gt;
switches in that panel should be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
You will also need to update your job to make sure all the settings&lt;br /&gt;
are identical between the diagnostic call and prognostic call&lt;br /&gt;
(in terms of the methods for specifying the clouds and which&lt;br /&gt;
other forcing agents are included or not).&lt;br /&gt;
&lt;br /&gt;
UP TO HERE.&lt;br /&gt;
&lt;br /&gt;
All that remains then is to add in the extra STASH requests for the double-call forcing diagnostics and&lt;br /&gt;
to note a change to the operation of the Aerosol Optical Depth diagnostics.&lt;br /&gt;
&lt;br /&gt;
The approach taken to index the STASH numbers for the radiative forcing items (the flux-difference between&lt;br /&gt;
the two radiation calls) is to apply an offset of +200 to the item number to the corresponding item for&lt;br /&gt;
the conventional radiative fluxes.&lt;br /&gt;
&lt;br /&gt;
In task 12.1 we added STASH requests for the all-sky TOA outgoing SW and LW radiative fluxes which are&lt;br /&gt;
referenced in STASH as section 1 item 208 and section 2 item 205.&lt;br /&gt;
&lt;br /&gt;
To request the all-sky TOA outgoing SW and LW radiative forcings (between the two radiation calls) the&lt;br /&gt;
corresponding item numbers are section 1 item 408 and section 2 item 405.  Unfortunately however,&lt;br /&gt;
at UM v8.4, section 2 item 405 is not available from the UMUI.  In this task we will therefore request&lt;br /&gt;
instead the clear-sky TOA outgoing SW and LW radiative forcing diagnostics (section 1 item 409 and&lt;br /&gt;
section 2 item 406).  Note also that one needs to request both the radiation flux and radiation forcing&lt;br /&gt;
diagnostic in these runs so you should add 4 daily-mean STASH requests for section 1 items 209 and 409&lt;br /&gt;
and section 2 items 206 and 406.&lt;br /&gt;
&lt;br /&gt;
Go to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add the daily-mean (TDAYM)&lt;br /&gt;
requests for both of these flux-forcing pairs of diagnostics. As in Task 10.1, the domain profile&lt;br /&gt;
should be set as DIAG and the usage profile as UPA.&lt;br /&gt;
&lt;br /&gt;
Since we have now configured the model to run with GLOMAP aerosol set to zero in the advancing call,&lt;br /&gt;
the conventional AOD diagnostics introduced in tutorial 10 (section 2 items 300 to 305) will now&lt;br /&gt;
contain zero values when the model is run.&lt;br /&gt;
&lt;br /&gt;
The UM therefore has a second set of AOD diagnostics giving the aerosol optical depth as calculated&lt;br /&gt;
in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The approach for the double-call AOD diagnostics is the same as for the forcing diags, i.e. to&lt;br /&gt;
apply an offset of +200 to the item number to find the corresponding AOD item in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The double-call GLOMAP AOD diagnostics are therefore found in section 2 items 500 to 505.&lt;br /&gt;
&lt;br /&gt;
At v8.4 it is necessary to add an extra user-STASHmaster file to enable these STASH items to be&lt;br /&gt;
requested in the job. In the &#039;&#039;User-STASHmaster files. Diags, Progs &amp;amp; Ancils&#039;&#039; window off the&lt;br /&gt;
STASH panel you need to add in the following file&lt;br /&gt;
&lt;br /&gt;
  ~gmann/stashfiles/dblecall_aods_only.stash&lt;br /&gt;
&lt;br /&gt;
You will also need to add the hand-edit&lt;br /&gt;
&lt;br /&gt;
 ~gmann/umui_jobs/hand_edits/vn8.4_nosulphateAOD.ed&lt;br /&gt;
&lt;br /&gt;
which removes the CLASSIC sulphate AOD as it causes a crash in the double-call forcing configuration.&lt;br /&gt;
You should also remove this STASH number (2-284) as well as the mineral dust optical depth (2-285)&lt;br /&gt;
from the STASH requests panel. This causes a crash on ARCHER, but not on MONSooN.&lt;br /&gt;
&lt;br /&gt;
If you view that file you see that as well as providing the STASH settings for the GLOMAP&lt;br /&gt;
double-call AOD diagnostics for each mode, it also provides the information to the UMUI to allow&lt;br /&gt;
double-call AOD diagnostics to be requested for each of the CLASSIC aerosol types.&lt;br /&gt;
&lt;br /&gt;
Once you have have added the &#039;&#039;dblecall_aods_only.stash&#039;&#039; user-STASHmaster file you should proceed&lt;br /&gt;
to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add daily-mean (TDAYM)&lt;br /&gt;
requests for the double-call GLOMAP AODs (section 2 items 500 to 505) with usage profile UPA&lt;br /&gt;
and domain profile DIAG_AOT.&lt;br /&gt;
&lt;br /&gt;
The simulation will then output daily-mean SW and LW clear-sky forcings and double-call AOD&lt;br /&gt;
diagnostics to the .pa file for your UM-UKCA job.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows daily-mean TOA SW-clearsky and LW-clearsky radiative effect fields for&lt;br /&gt;
the double-call-modified version of the UKCA tutorial (gmann job xkwhi).&lt;br /&gt;
&lt;br /&gt;
[[File:idl_dailyTOAradforcings_SWclearsky_LWclearsky_xkwhi.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Worked Solution===&lt;br /&gt;
&lt;br /&gt;
A worked solution to Task 12.2 can be found in job &amp;lt;code&amp;gt;&#039;&#039;&#039;xjrnn&#039;&#039;&#039;&amp;lt;/code&amp;gt;.&lt;br /&gt;
Sample output from a copy of this job can be found on ARCHER in the directory&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Written by [[User:Gmann | Graham Mann]] 2016&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5734</id>
		<title>UKCA Chemistry and Aerosol vn10.4 Tutorial 12</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5734"/>
		<updated>2017-01-06T10:05:32Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* Task 12.2 Configure the UKCA tutorial job to run as a double-call job diagnosing aerosol radiative effects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[UKCA Chemistry and Aerosol Tutorials at vn10.4]]&lt;br /&gt;
&lt;br /&gt;
==What you will learn in this Tutorial==&lt;br /&gt;
&lt;br /&gt;
In this tutorial you will learn about how to quantify the radiative effects of aerosol&lt;br /&gt;
simulated by GLOMAP-mode in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
In the first task you will update your copy of the UKCA tutorial job to request radiative&lt;br /&gt;
fluxes allowing the radiative flux perturbation (or effective radiative forcing) to be&lt;br /&gt;
diagnosed based on difference in the fluxes between a pair of UM-UKCA jobs with some&lt;br /&gt;
difference (e.g. pre-industrial and present-day emissions jobs).&lt;br /&gt;
&lt;br /&gt;
The second task involves configuring a copy of the UKCA tutorial job to run in&lt;br /&gt;
&#039;&#039;double-call configuration&#039;&#039; whereby the aerosol radiative effects can be diagnosed&lt;br /&gt;
at each radiation timestep.&lt;br /&gt;
&lt;br /&gt;
==Task 12.1: Update your copy of the UKCA tutorial job to diagnose Top Of the Atmosphere (TOA) radiative fluxes==&lt;br /&gt;
&lt;br /&gt;
In this task you will add STASH requests for SW and LW outgoing radiative fluxes at&lt;br /&gt;
the top of the atmosphere to enable the radiative forcing from a particular change to be diagnosed.&lt;br /&gt;
&lt;br /&gt;
The user should note however that to illustrate the task we are adding these requests to&lt;br /&gt;
the UKCA tutorial job which is just a 1-day simulation.&lt;br /&gt;
&lt;br /&gt;
One would need to average the flux-difference between the pair of simulations over an&lt;br /&gt;
appropriate timescale (e.g. multi-annual monthly-means) in order to diagnose an&lt;br /&gt;
effective radiative forcing appropriately.&lt;br /&gt;
&lt;br /&gt;
Noting the above caveat, proceed and add daily-mean STASH requests for section 1 item 208&lt;br /&gt;
(all-sky outgoing short wave flux at the top-of-the-atmosphere) and section 2 item 205&lt;br /&gt;
(all-sky outgoing long wave flux at the top-of-the-atmosphere) to the updated copy of the     &lt;br /&gt;
UKCA tutorial suite you produced in Task 10 after adding AOD and OM diags (the&lt;br /&gt;
reference job for this is u-ai830).&lt;br /&gt;
&lt;br /&gt;
The radiative fluxes are 2-dimensional diagnostics (longitude by latitude) so you should&lt;br /&gt;
use the DIAG domain profile in this case. For daily-means use the TDAYM time profile.&lt;br /&gt;
Again, since we require the daily-mean fluxes to be output to the .pa file you should&lt;br /&gt;
request the diagnostics with the UPK usage profile.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows the daily-mean SW and LW all-sky TOA radiative flux &lt;br /&gt;
fields from the UKCA tutorial job for 1st September 1999 (produced by&lt;br /&gt;
gmann job u-ai902, which updated from u-ai830 by adding in the requests).&lt;br /&gt;
&lt;br /&gt;
[[File:ai902_SWandLWallskyTOAfluxes.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Example Output===&lt;br /&gt;
&lt;br /&gt;
Example output for Task12.1 can be found on ARCHER in the following directory:&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.1&lt;br /&gt;
&lt;br /&gt;
==Task 12.2 Configure the UKCA tutorial job to run as a &#039;&#039;double-call&#039;&#039; job diagnosing aerosol radiative effects==&lt;br /&gt;
&lt;br /&gt;
In this task you will copy the copy of the standard tutorial job you used in Task 12.1&lt;br /&gt;
(&amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai902&#039;&#039;&#039;&amp;lt;/code&amp;gt;)&lt;br /&gt;
and configure it to run with &#039;&#039;double-call&#039;&#039; to the radiation scheme to diagnose the radiative&lt;br /&gt;
effects of the aerosol simulated by GLOMAP in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
The UM has been coded to allow the user to diagnose radiative effects of a particular&lt;br /&gt;
forcing agent by calling the radiation scheme twice with one of the calls setting the&lt;br /&gt;
agent&#039;s concentration to zero. Special &#039;&#039;forcing&#039;&#039; STASH items are included within the&lt;br /&gt;
UM which store the difference in the radiative fluxes between the two radiation calls.&lt;br /&gt;
&lt;br /&gt;
In the um &#039;&#039;app&#039;&#039; in the Rose GUI go to namelist --&amp;gt; UM Science Settings&lt;br /&gt;
and then choose &#039;&#039;Section 1 - 2: Radiation&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
In the &#039;&#039;General Options&#039;&#039; panel, you see that at the top there is an&lt;br /&gt;
&#039;&#039;i_rad_extra_call&#039;&#039; &amp;quot;Options for multiple calls to radiation&amp;quot; button-selector.&lt;br /&gt;
&lt;br /&gt;
The UKCA tutorial job is set to &amp;quot;Single call&amp;quot; which is the standard way of running the UM&lt;br /&gt;
with a single call to the radiation scheme every radiation timestep (here one hour).&lt;br /&gt;
You see there is a 2nd option there to select &amp;quot;Diagnose radiative forcings&amp;quot;.&lt;br /&gt;
Selecting this option activates the &#039;&#039;double-call&#039;&#039; approach where the radiation scheme&lt;br /&gt;
is called twice on each radiation timestep once with the forcing agent and&lt;br /&gt;
once without it.&lt;br /&gt;
&lt;br /&gt;
With this option, the idea is that the user can then isolate the difference in&lt;br /&gt;
the radiative fluxes (i.e. the forcing) due to a particular forcing agent of&lt;br /&gt;
interest. There are a host of additional settings that become available when&lt;br /&gt;
you select this option setting exactly which forcings to isolate via the&lt;br /&gt;
difference between the main call and the 2nd call.&lt;br /&gt;
&lt;br /&gt;
The default approach, for this &#039;&#039;Diagnose radiative forcings&#039;&#039; option, involves&lt;br /&gt;
the model diagnosing the radiative forcing based on the flux-difference being&lt;br /&gt;
between the &#039;&#039;advancing call&#039;&#039; including the radiative effects of the forcing&lt;br /&gt;
agent (as usual), and the 2nd &#039;&#039;diagnostic call&#039;&#039; to the radiation setting&lt;br /&gt;
that species&#039; concentration to zero (or not including its effects in the&lt;br /&gt;
radiative transfer calculations).&lt;br /&gt;
&lt;br /&gt;
These additional settings for the diagnostic call are set in three of the&lt;br /&gt;
sub-panels of this &#039;&#039;Section 1 - 2: Radiation&#039;&#039; part of the Rose GUI.&lt;br /&gt;
First it can be seen that there are &amp;quot;SW second call&amp;quot; and &amp;quot;LW second call&amp;quot;&lt;br /&gt;
panels that become active.  There is also a separate &#039;&#039;Diagnostic forcing&#039;&#039;&lt;br /&gt;
panel for setting the precise arrangement for this second call to the&lt;br /&gt;
radiation. In this separate panel it is possible to individually (or multiply)&lt;br /&gt;
select the CLASSIC aerosol types to diagnose their radiative effects.&lt;br /&gt;
For GLOMAP-mode it&#039;s different in that it only makes sense to diagnose the&lt;br /&gt;
effects over all the types considered since the different types are often internally&lt;br /&gt;
mixed within each size class.  The user will likely only want to run these&lt;br /&gt;
effects when the settings in the second radiation call match exactly with&lt;br /&gt;
those in the first radiation call (so that the difference then indicates&lt;br /&gt;
the forcing due to the forcing agent of interest rather than any difference&lt;br /&gt;
in settings). If particular experiments are planned, as usual it is recommended&lt;br /&gt;
to discuss with the relevant expert(s) within NCAS or the Met Office.&lt;br /&gt;
&lt;br /&gt;
As explained above, the default UM setting for the double-call is to set&lt;br /&gt;
the species mixing ratio to zero in the diagnostic call with the&lt;br /&gt;
difference then including any fast feedbacks from the forcing agent&lt;br /&gt;
in the advancing call. However, it is often very useful to be able to&lt;br /&gt;
suppress the fast feedbacks from the forcing agent in question by&lt;br /&gt;
reversing the operation of the double-call including the aerosol&lt;br /&gt;
radiative effects only in the diagnostic call&lt;br /&gt;
and setting the species mixing ratio to zero in the advancing call.&lt;br /&gt;
&lt;br /&gt;
With this &#039;&#039;diagnostic double-call radiative forcing&#039;&#039; configuration,&lt;br /&gt;
the difference in radiative fluxes between the two calls then&lt;br /&gt;
provides the aerosol radiative perturbation with respect to an&lt;br /&gt;
atmosphere containing no aerosols. For example, one can diagnose the &lt;br /&gt;
present-day to pre-industrial aerosol radiative forcing by taking the &lt;br /&gt;
difference between two parallel diagnostic-double-call simulations with &lt;br /&gt;
aerosol and precursor emissions set to 1850 and 2000. As long as&lt;br /&gt;
other forcing agents, such as greenhouse gases or land-use change, &lt;br /&gt;
remain fixed at a reference time period, the meteorology should&lt;br /&gt;
then be identical in the two runs, giving a radiative forcing &lt;br /&gt;
signal &amp;quot;clean&amp;quot; from the modified transport caused by fast feedbacks&lt;br /&gt;
in the system.&lt;br /&gt;
&lt;br /&gt;
Often nudging to meteorological re-analysis winds and temperatures is applied in tandem with the double-call configuration&lt;br /&gt;
in which case the composition-climate model is being run in a similar way to an offline chemistry-transport model.&lt;br /&gt;
This approach has been used extensively in aerosol forcing intercomparisons (e.g. the AeroCom direct forcing&lt;br /&gt;
experiments, Myhre et al., 2013, ACP) with the radiative forcings diagnosed from each model with fast feedbacks&lt;br /&gt;
disabled.&lt;br /&gt;
&lt;br /&gt;
Unfortunately, this &#039;&#039;diagnostic double-call&#039;&#039; configuration is not one of&lt;br /&gt;
the supported configurations of the v10.4 release job. As a consequence,&lt;br /&gt;
to run UM-UKCA with this configuration, you will need to add an&lt;br /&gt;
extra FCM branch to the job and also modify the metadata in the&lt;br /&gt;
the Rose GUI to enable the option to run configured in this way.&lt;br /&gt;
&lt;br /&gt;
First add the branch. In the fcm_make_um &#039;&#039;app&#039;&#039; go to &#039;&#039;env&#039;&#039; and&lt;br /&gt;
then &#039;&#039;Sources&#039;&#039;.  There you should add an extra entry to add-in the&lt;br /&gt;
code-changes from revision 32385 of the following FCM branch:&lt;br /&gt;
&lt;br /&gt;
branches/dev/grahammann/vn10.4_updates_for_dblcalaerforc@32385&lt;br /&gt;
&lt;br /&gt;
The code added in that branch applies a new switch C2C_AER_DIAGCAL&lt;br /&gt;
which controls whether the setting of the forcing agent to zero is&lt;br /&gt;
applied on the advancing call (C2C_AER_DIAGCAL will be .TRUE.&lt;br /&gt;
because the GLOMAP aerosol is included only in the diagnostic call).&lt;br /&gt;
To retain the standard operation of the double-call where the aerosol&lt;br /&gt;
is included in the advancing call but set to zero in the diagnostic&lt;br /&gt;
call, the C2C_AER_DIAGCAL needs to be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
We need to use new metadata to enable this switch -- and also to&lt;br /&gt;
add in a new switch C2C_UKCA_I which controls whether the GLOMAP&lt;br /&gt;
indirect effects are included in the diagnostic call or not.&lt;br /&gt;
&lt;br /&gt;
Just like in the last task, this requires to point the Rose GUI&lt;br /&gt;
to a new rose-meta.conf file within a separate directory outside&lt;br /&gt;
the FCM branch.&lt;br /&gt;
&lt;br /&gt;
In the Rose GUI click on the &#039;&#039;um&#039;&#039; word and you&#039;ll see that&lt;br /&gt;
there is already a separate metadata file specified in that&lt;br /&gt;
job which is set to point to:&lt;br /&gt;
&lt;br /&gt;
/home/grenville/meta/ga7_vn10.4&lt;br /&gt;
&lt;br /&gt;
I have prepared a modified version of this that enables the extra&lt;br /&gt;
C2C_AER_DIAGCAL and C2C_UKCA_I switches to be selected in the Rose GUI.&lt;br /&gt;
So change the file path to instead point to this one:&lt;br /&gt;
&lt;br /&gt;
/home/gmann/meta/ga7_vn10.4_dblcalaerforc&lt;br /&gt;
&lt;br /&gt;
After you have done this, there will be 2 additional buttons&lt;br /&gt;
available in the &#039;&#039;Diagnostic forcing&#039;&#039; panel to allow the user&lt;br /&gt;
to select the C2C_AER_DIAGCAL and C2C_UKCA_I switches.&lt;br /&gt;
&lt;br /&gt;
We want to use this diagnostic call configuration and we want to&lt;br /&gt;
have the forcing be including both the direct and indirect effects&lt;br /&gt;
from the GLOMAP aerosol -- so set C2C_UKCA_D and C2C_UKCA_I to&lt;br /&gt;
be .TRUE.  You should also set the C2C_DUST_D switch to be true&lt;br /&gt;
so that the model is then calculating the overall aerosol&lt;br /&gt;
radiative effects (including both aerosol direct and indirect&lt;br /&gt;
effects with the aerosol consisting of the total of the 6 CLASSIC&lt;br /&gt;
dust bins plus the GLOMAP aerosol modes).  All the other C2C&lt;br /&gt;
switches in that panel should be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
You will also need to update your job to make sure all the settings&lt;br /&gt;
are identical between the diagnostic call and prognostic call&lt;br /&gt;
(in terms of the methods for specifying the clouds and which&lt;br /&gt;
other forcing agents are included or not).&lt;br /&gt;
&lt;br /&gt;
UP TO HERE.&lt;br /&gt;
&lt;br /&gt;
All that remains then is to add in the extra STASH requests for the double-call forcing diagnostics and&lt;br /&gt;
to note a change to the operation of the Aerosol Optical Depth diagnostics.&lt;br /&gt;
&lt;br /&gt;
The approach taken to index the STASH numbers for the radiative forcing items (the flux-difference between&lt;br /&gt;
the two radiation calls) is to apply an offset of +200 to the item number to the corresponding item for&lt;br /&gt;
the conventional radiative fluxes.&lt;br /&gt;
&lt;br /&gt;
In task 12.1 we added STASH requests for the all-sky TOA outgoing SW and LW radiative fluxes which are&lt;br /&gt;
referenced in STASH as section 1 item 208 and section 2 item 205.&lt;br /&gt;
&lt;br /&gt;
To request the all-sky TOA outgoing SW and LW radiative forcings (between the two radiation calls) the&lt;br /&gt;
corresponding item numbers are section 1 item 408 and section 2 item 405.  Unfortunately however,&lt;br /&gt;
at UM v8.4, section 2 item 405 is not available from the UMUI.  In this task we will therefore request&lt;br /&gt;
instead the clear-sky TOA outgoing SW and LW radiative forcing diagnostics (section 1 item 409 and&lt;br /&gt;
section 2 item 406).  Note also that one needs to request both the radiation flux and radiation forcing&lt;br /&gt;
diagnostic in these runs so you should add 4 daily-mean STASH requests for section 1 items 209 and 409&lt;br /&gt;
and section 2 items 206 and 406.&lt;br /&gt;
&lt;br /&gt;
Go to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add the daily-mean (TDAYM)&lt;br /&gt;
requests for both of these flux-forcing pairs of diagnostics. As in Task 10.1, the domain profile&lt;br /&gt;
should be set as DIAG and the usage profile as UPA.&lt;br /&gt;
&lt;br /&gt;
Since we have now configured the model to run with GLOMAP aerosol set to zero in the advancing call,&lt;br /&gt;
the conventional AOD diagnostics introduced in tutorial 10 (section 2 items 300 to 305) will now&lt;br /&gt;
contain zero values when the model is run.&lt;br /&gt;
&lt;br /&gt;
The UM therefore has a second set of AOD diagnostics giving the aerosol optical depth as calculated&lt;br /&gt;
in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The approach for the double-call AOD diagnostics is the same as for the forcing diags, i.e. to&lt;br /&gt;
apply an offset of +200 to the item number to find the corresponding AOD item in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The double-call GLOMAP AOD diagnostics are therefore found in section 2 items 500 to 505.&lt;br /&gt;
&lt;br /&gt;
At v8.4 it is necessary to add an extra user-STASHmaster file to enable these STASH items to be&lt;br /&gt;
requested in the job. In the &#039;&#039;User-STASHmaster files. Diags, Progs &amp;amp; Ancils&#039;&#039; window off the&lt;br /&gt;
STASH panel you need to add in the following file&lt;br /&gt;
&lt;br /&gt;
  ~gmann/stashfiles/dblecall_aods_only.stash&lt;br /&gt;
&lt;br /&gt;
You will also need to add the hand-edit&lt;br /&gt;
&lt;br /&gt;
 ~gmann/umui_jobs/hand_edits/vn8.4_nosulphateAOD.ed&lt;br /&gt;
&lt;br /&gt;
which removes the CLASSIC sulphate AOD as it causes a crash in the double-call forcing configuration.&lt;br /&gt;
You should also remove this STASH number (2-284) as well as the mineral dust optical depth (2-285)&lt;br /&gt;
from the STASH requests panel. This causes a crash on ARCHER, but not on MONSooN.&lt;br /&gt;
&lt;br /&gt;
If you view that file you see that as well as providing the STASH settings for the GLOMAP&lt;br /&gt;
double-call AOD diagnostics for each mode, it also provides the information to the UMUI to allow&lt;br /&gt;
double-call AOD diagnostics to be requested for each of the CLASSIC aerosol types.&lt;br /&gt;
&lt;br /&gt;
Once you have have added the &#039;&#039;dblecall_aods_only.stash&#039;&#039; user-STASHmaster file you should proceed&lt;br /&gt;
to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add daily-mean (TDAYM)&lt;br /&gt;
requests for the double-call GLOMAP AODs (section 2 items 500 to 505) with usage profile UPA&lt;br /&gt;
and domain profile DIAG_AOT.&lt;br /&gt;
&lt;br /&gt;
The simulation will then output daily-mean SW and LW clear-sky forcings and double-call AOD&lt;br /&gt;
diagnostics to the .pa file for your UM-UKCA job.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows daily-mean TOA SW-clearsky and LW-clearsky radiative effect fields for&lt;br /&gt;
the double-call-modified version of the UKCA tutorial (gmann job xkwhi).&lt;br /&gt;
&lt;br /&gt;
[[File:idl_dailyTOAradforcings_SWclearsky_LWclearsky_xkwhi.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Worked Solution===&lt;br /&gt;
&lt;br /&gt;
A worked solution to Task 12.2 can be found in job &amp;lt;code&amp;gt;&#039;&#039;&#039;xjrnn&#039;&#039;&#039;&amp;lt;/code&amp;gt;.&lt;br /&gt;
Sample output from a copy of this job can be found on ARCHER in the directory&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Written by [[User:Gmann | Graham Mann]] 2016&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5733</id>
		<title>UKCA Chemistry and Aerosol vn10.4 Tutorial 12</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5733"/>
		<updated>2017-01-06T10:02:15Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* Task 12.2 Configure the UKCA tutorial job to run as a double-call job diagnosing aerosol radiative effects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[UKCA Chemistry and Aerosol Tutorials at vn10.4]]&lt;br /&gt;
&lt;br /&gt;
==What you will learn in this Tutorial==&lt;br /&gt;
&lt;br /&gt;
In this tutorial you will learn about how to quantify the radiative effects of aerosol&lt;br /&gt;
simulated by GLOMAP-mode in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
In the first task you will update your copy of the UKCA tutorial job to request radiative&lt;br /&gt;
fluxes allowing the radiative flux perturbation (or effective radiative forcing) to be&lt;br /&gt;
diagnosed based on difference in the fluxes between a pair of UM-UKCA jobs with some&lt;br /&gt;
difference (e.g. pre-industrial and present-day emissions jobs).&lt;br /&gt;
&lt;br /&gt;
The second task involves configuring a copy of the UKCA tutorial job to run in&lt;br /&gt;
&#039;&#039;double-call configuration&#039;&#039; whereby the aerosol radiative effects can be diagnosed&lt;br /&gt;
at each radiation timestep.&lt;br /&gt;
&lt;br /&gt;
==Task 12.1: Update your copy of the UKCA tutorial job to diagnose Top Of the Atmosphere (TOA) radiative fluxes==&lt;br /&gt;
&lt;br /&gt;
In this task you will add STASH requests for SW and LW outgoing radiative fluxes at&lt;br /&gt;
the top of the atmosphere to enable the radiative forcing from a particular change to be diagnosed.&lt;br /&gt;
&lt;br /&gt;
The user should note however that to illustrate the task we are adding these requests to&lt;br /&gt;
the UKCA tutorial job which is just a 1-day simulation.&lt;br /&gt;
&lt;br /&gt;
One would need to average the flux-difference between the pair of simulations over an&lt;br /&gt;
appropriate timescale (e.g. multi-annual monthly-means) in order to diagnose an&lt;br /&gt;
effective radiative forcing appropriately.&lt;br /&gt;
&lt;br /&gt;
Noting the above caveat, proceed and add daily-mean STASH requests for section 1 item 208&lt;br /&gt;
(all-sky outgoing short wave flux at the top-of-the-atmosphere) and section 2 item 205&lt;br /&gt;
(all-sky outgoing long wave flux at the top-of-the-atmosphere) to the updated copy of the     &lt;br /&gt;
UKCA tutorial suite you produced in Task 10 after adding AOD and OM diags (the&lt;br /&gt;
reference job for this is u-ai830).&lt;br /&gt;
&lt;br /&gt;
The radiative fluxes are 2-dimensional diagnostics (longitude by latitude) so you should&lt;br /&gt;
use the DIAG domain profile in this case. For daily-means use the TDAYM time profile.&lt;br /&gt;
Again, since we require the daily-mean fluxes to be output to the .pa file you should&lt;br /&gt;
request the diagnostics with the UPK usage profile.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows the daily-mean SW and LW all-sky TOA radiative flux &lt;br /&gt;
fields from the UKCA tutorial job for 1st September 1999 (produced by&lt;br /&gt;
gmann job u-ai902, which updated from u-ai830 by adding in the requests).&lt;br /&gt;
&lt;br /&gt;
[[File:ai902_SWandLWallskyTOAfluxes.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Example Output===&lt;br /&gt;
&lt;br /&gt;
Example output for Task12.1 can be found on ARCHER in the following directory:&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.1&lt;br /&gt;
&lt;br /&gt;
==Task 12.2 Configure the UKCA tutorial job to run as a &#039;&#039;double-call&#039;&#039; job diagnosing aerosol radiative effects==&lt;br /&gt;
&lt;br /&gt;
In this task you will copy the copy of the standard tutorial job you used in Task 12.1&lt;br /&gt;
(&amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai902&#039;&#039;&#039;&amp;lt;/code&amp;gt;)&lt;br /&gt;
and configure it to run with &#039;&#039;double-call&#039;&#039; to the radiation scheme to diagnose the radiative&lt;br /&gt;
effects of the aerosol simulated by GLOMAP in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
The UM has been coded to allow the user to diagnose radiative effects of a particular&lt;br /&gt;
forcing agent by calling the radiation scheme twice with one of the calls setting the&lt;br /&gt;
agent&#039;s concentration to zero. Special &#039;&#039;forcing&#039;&#039; STASH items are included within the&lt;br /&gt;
UM which store the difference in the radiative fluxes between the two radiation calls.&lt;br /&gt;
&lt;br /&gt;
In the um &#039;&#039;app&#039;&#039; in the Rose GUI go to namelist --&amp;gt; UM Science Settings&lt;br /&gt;
and then choose &#039;&#039;Section 1 - 2: Radiation&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
In the &#039;&#039;General Options&#039;&#039; panel, you see that at the top there is an&lt;br /&gt;
&#039;&#039;i_rad_extra_call&#039;&#039; &amp;quot;Options for multiple calls to radiation&amp;quot; button-selector.&lt;br /&gt;
&lt;br /&gt;
The UKCA tutorial job is set to &amp;quot;Single call&amp;quot; which is the standard way of running the UM&lt;br /&gt;
with a single call to the radiation scheme every radiation timestep (here one hour).&lt;br /&gt;
You see there is a 2nd option there to select &amp;quot;Diagnose radiative forcings&amp;quot;.&lt;br /&gt;
Selecting this option activates the &#039;&#039;double-call&#039;&#039; approach where the radiation scheme&lt;br /&gt;
is called twice on each radiation timestep once with the forcing agent and&lt;br /&gt;
once without it.&lt;br /&gt;
&lt;br /&gt;
With this option, the idea is that the user can then isolate the difference in&lt;br /&gt;
the radiative fluxes (i.e. the forcing) due to a particular forcing agent of&lt;br /&gt;
interest. There are a host of additional settings that become available when&lt;br /&gt;
you select this option setting exactly which forcings to isolate via the&lt;br /&gt;
difference between the main call and the 2nd call.&lt;br /&gt;
&lt;br /&gt;
The default approach, for this &#039;&#039;Diagnose radiative forcings&#039;&#039; option, involves&lt;br /&gt;
the model diagnosing the radiative forcing based on the flux-difference being&lt;br /&gt;
between the &#039;&#039;advancing call&#039;&#039; including the radiative effects of the forcing&lt;br /&gt;
agent (as usual), and the 2nd &#039;&#039;diagnostic call&#039;&#039; to the radiation setting&lt;br /&gt;
that species&#039; concentration to zero (or not including its effects in the&lt;br /&gt;
radiative transfer calculations).&lt;br /&gt;
&lt;br /&gt;
These additional settings for the diagnostic call are set in three of the&lt;br /&gt;
sub-panels of this &#039;&#039;Section 1 - 2: Radiation&#039;&#039; part of the Rose GUI.&lt;br /&gt;
First it can be seen that there are &amp;quot;SW second call&amp;quot; and &amp;quot;LW second call&amp;quot;&lt;br /&gt;
panels that become active.  There is also a separate &#039;&#039;Diagnostic forcing&#039;&#039;&lt;br /&gt;
panel for setting the precise arrangement for this second call to the&lt;br /&gt;
radiation. In this separate panel it is possible to individually (or multiply)&lt;br /&gt;
select the CLASSIC aerosol types to diagnose their radiative effects.&lt;br /&gt;
For GLOMAP-mode it&#039;s different in that it only makes sense to diagnose the&lt;br /&gt;
effects over all the types considered since the different types are often internally&lt;br /&gt;
mixed within each size class.  The user will likely only want to run these&lt;br /&gt;
effects when the settings in the second radiation call match exactly with&lt;br /&gt;
those in the first radiation call (so that the difference then indicates&lt;br /&gt;
the forcing due to the forcing agent of interest rather than any difference&lt;br /&gt;
in settings). If particular experiments are planned, as usual it is recommended&lt;br /&gt;
to discuss with the relevant expert(s) within NCAS or the Met Office.&lt;br /&gt;
&lt;br /&gt;
As explained above, the default UM setting for the double-call is to set&lt;br /&gt;
the species mixing ratio to zero in the diagnostic call with the&lt;br /&gt;
difference then including any fast feedbacks from the forcing agent&lt;br /&gt;
in the advancing call. However, it is often very useful to be able to&lt;br /&gt;
suppress the fast feedbacks from the forcing agent in question by&lt;br /&gt;
reversing the operation of the double-call including the aerosol&lt;br /&gt;
radiative effects only in the diagnostic call&lt;br /&gt;
and setting the species mixing ratio to zero in the advancing call.&lt;br /&gt;
&lt;br /&gt;
With this &#039;&#039;diagnostic double-call radiative forcing&#039;&#039; configuration,&lt;br /&gt;
the difference in radiative fluxes between the two calls then&lt;br /&gt;
provides the aerosol radiative perturbation with respect to an&lt;br /&gt;
atmosphere containing no aerosols.&lt;br /&gt;
One can diagnose the present-day to pre-industrial aerosol radiative forcing by taking the difference between&lt;br /&gt;
two parallel double-call simulations with aerosol and precursor emissions set to 1850 and 2000.&lt;br /&gt;
All other forcing agents, such as greenhouse gases or land-use change, remain fixed at a reference time period.&lt;br /&gt;
&lt;br /&gt;
Often nudging to meteorological re-analysis winds and temperatures is applied in tandem with the double-call configuration&lt;br /&gt;
in which case the composition-climate model is being run in a similar way to an offline chemistry-transport model.&lt;br /&gt;
This approach has been used extensively in aerosol forcing intercomparisons (e.g. the AeroCom direct forcing&lt;br /&gt;
experiments, Myhre et al., 2013, ACP) with the radiative forcings diagnosed from each model with fast feedbacks&lt;br /&gt;
disabled.&lt;br /&gt;
&lt;br /&gt;
Unfortunately, this &#039;&#039;diagnostic double-call&#039;&#039; configuration is not one of&lt;br /&gt;
the supported configurations of the v10.4 release job. As a consequence,&lt;br /&gt;
to run UM-UKCA with this configuration, you will need to add an&lt;br /&gt;
extra FCM branch to the job and also modify the metadata in the&lt;br /&gt;
the Rose GUI to enable the option to run configured in this way.&lt;br /&gt;
&lt;br /&gt;
First add the branch. In the fcm_make_um &#039;&#039;app&#039;&#039; go to &#039;&#039;env&#039;&#039; and&lt;br /&gt;
then &#039;&#039;Sources&#039;&#039;.  There you should add an extra entry to add-in the&lt;br /&gt;
code-changes from revision 32385 of the following FCM branch:&lt;br /&gt;
&lt;br /&gt;
branches/dev/grahammann/vn10.4_updates_for_dblcalaerforc@32385&lt;br /&gt;
&lt;br /&gt;
The code added in that branch applies a new switch C2C_AER_DIAGCAL&lt;br /&gt;
which controls whether the setting of the forcing agent to zero is&lt;br /&gt;
applied on the advancing call (C2C_AER_DIAGCAL will be .TRUE.&lt;br /&gt;
because the GLOMAP aerosol is included only in the diagnostic call).&lt;br /&gt;
To retain the standard operation of the double-call where the aerosol&lt;br /&gt;
is included in the advancing call but set to zero in the diagnostic&lt;br /&gt;
call, the C2C_AER_DIAGCAL needs to be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
We need to use new metadata to enable this switch -- and also to&lt;br /&gt;
add in a new switch C2C_UKCA_I which controls whether the GLOMAP&lt;br /&gt;
indirect effects are included in the diagnostic call or not.&lt;br /&gt;
&lt;br /&gt;
Just like in the last task, this requires to point the Rose GUI&lt;br /&gt;
to a new rose-meta.conf file within a separate directory outside&lt;br /&gt;
the FCM branch.&lt;br /&gt;
&lt;br /&gt;
In the Rose GUI click on the &#039;&#039;um&#039;&#039; word and you&#039;ll see that&lt;br /&gt;
there is already a separate metadata file specified in that&lt;br /&gt;
job which is set to point to:&lt;br /&gt;
&lt;br /&gt;
/home/grenville/meta/ga7_vn10.4&lt;br /&gt;
&lt;br /&gt;
I have prepared a modified version of this that enables the extra&lt;br /&gt;
C2C_AER_DIAGCAL and C2C_UKCA_I switches to be selected in the Rose GUI.&lt;br /&gt;
So change the file path to instead point to this one:&lt;br /&gt;
&lt;br /&gt;
/home/gmann/meta/ga7_vn10.4_dblcalaerforc&lt;br /&gt;
&lt;br /&gt;
After you have done this, there will be 2 additional buttons&lt;br /&gt;
available in the &#039;&#039;Diagnostic forcing&#039;&#039; panel to allow the user&lt;br /&gt;
to select the C2C_AER_DIAGCAL and C2C_UKCA_I switches.&lt;br /&gt;
&lt;br /&gt;
We want to use this diagnostic call configuration and we want to&lt;br /&gt;
have the forcing be including both the direct and indirect effects&lt;br /&gt;
from the GLOMAP aerosol -- so set C2C_UKCA_D and C2C_UKCA_I to&lt;br /&gt;
be .TRUE.  You should also set the C2C_DUST_D switch to be true&lt;br /&gt;
so that the model is then calculating the overall aerosol&lt;br /&gt;
radiative effects (including both aerosol direct and indirect&lt;br /&gt;
effects with the aerosol consisting of the total of the 6 CLASSIC&lt;br /&gt;
dust bins plus the GLOMAP aerosol modes).  All the other C2C&lt;br /&gt;
switches in that panel should be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
You will also need to update your job to make sure all the settings&lt;br /&gt;
are identical between the diagnostic call and prognostic call&lt;br /&gt;
(in terms of the methods for specifying the clouds and which&lt;br /&gt;
other forcing agents are included or not).&lt;br /&gt;
&lt;br /&gt;
UP TO HERE.&lt;br /&gt;
&lt;br /&gt;
All that remains then is to add in the extra STASH requests for the double-call forcing diagnostics and&lt;br /&gt;
to note a change to the operation of the Aerosol Optical Depth diagnostics.&lt;br /&gt;
&lt;br /&gt;
The approach taken to index the STASH numbers for the radiative forcing items (the flux-difference between&lt;br /&gt;
the two radiation calls) is to apply an offset of +200 to the item number to the corresponding item for&lt;br /&gt;
the conventional radiative fluxes.&lt;br /&gt;
&lt;br /&gt;
In task 12.1 we added STASH requests for the all-sky TOA outgoing SW and LW radiative fluxes which are&lt;br /&gt;
referenced in STASH as section 1 item 208 and section 2 item 205.&lt;br /&gt;
&lt;br /&gt;
To request the all-sky TOA outgoing SW and LW radiative forcings (between the two radiation calls) the&lt;br /&gt;
corresponding item numbers are section 1 item 408 and section 2 item 405.  Unfortunately however,&lt;br /&gt;
at UM v8.4, section 2 item 405 is not available from the UMUI.  In this task we will therefore request&lt;br /&gt;
instead the clear-sky TOA outgoing SW and LW radiative forcing diagnostics (section 1 item 409 and&lt;br /&gt;
section 2 item 406).  Note also that one needs to request both the radiation flux and radiation forcing&lt;br /&gt;
diagnostic in these runs so you should add 4 daily-mean STASH requests for section 1 items 209 and 409&lt;br /&gt;
and section 2 items 206 and 406.&lt;br /&gt;
&lt;br /&gt;
Go to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add the daily-mean (TDAYM)&lt;br /&gt;
requests for both of these flux-forcing pairs of diagnostics. As in Task 10.1, the domain profile&lt;br /&gt;
should be set as DIAG and the usage profile as UPA.&lt;br /&gt;
&lt;br /&gt;
Since we have now configured the model to run with GLOMAP aerosol set to zero in the advancing call,&lt;br /&gt;
the conventional AOD diagnostics introduced in tutorial 10 (section 2 items 300 to 305) will now&lt;br /&gt;
contain zero values when the model is run.&lt;br /&gt;
&lt;br /&gt;
The UM therefore has a second set of AOD diagnostics giving the aerosol optical depth as calculated&lt;br /&gt;
in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The approach for the double-call AOD diagnostics is the same as for the forcing diags, i.e. to&lt;br /&gt;
apply an offset of +200 to the item number to find the corresponding AOD item in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The double-call GLOMAP AOD diagnostics are therefore found in section 2 items 500 to 505.&lt;br /&gt;
&lt;br /&gt;
At v8.4 it is necessary to add an extra user-STASHmaster file to enable these STASH items to be&lt;br /&gt;
requested in the job. In the &#039;&#039;User-STASHmaster files. Diags, Progs &amp;amp; Ancils&#039;&#039; window off the&lt;br /&gt;
STASH panel you need to add in the following file&lt;br /&gt;
&lt;br /&gt;
  ~gmann/stashfiles/dblecall_aods_only.stash&lt;br /&gt;
&lt;br /&gt;
You will also need to add the hand-edit&lt;br /&gt;
&lt;br /&gt;
 ~gmann/umui_jobs/hand_edits/vn8.4_nosulphateAOD.ed&lt;br /&gt;
&lt;br /&gt;
which removes the CLASSIC sulphate AOD as it causes a crash in the double-call forcing configuration.&lt;br /&gt;
You should also remove this STASH number (2-284) as well as the mineral dust optical depth (2-285)&lt;br /&gt;
from the STASH requests panel. This causes a crash on ARCHER, but not on MONSooN.&lt;br /&gt;
&lt;br /&gt;
If you view that file you see that as well as providing the STASH settings for the GLOMAP&lt;br /&gt;
double-call AOD diagnostics for each mode, it also provides the information to the UMUI to allow&lt;br /&gt;
double-call AOD diagnostics to be requested for each of the CLASSIC aerosol types.&lt;br /&gt;
&lt;br /&gt;
Once you have have added the &#039;&#039;dblecall_aods_only.stash&#039;&#039; user-STASHmaster file you should proceed&lt;br /&gt;
to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add daily-mean (TDAYM)&lt;br /&gt;
requests for the double-call GLOMAP AODs (section 2 items 500 to 505) with usage profile UPA&lt;br /&gt;
and domain profile DIAG_AOT.&lt;br /&gt;
&lt;br /&gt;
The simulation will then output daily-mean SW and LW clear-sky forcings and double-call AOD&lt;br /&gt;
diagnostics to the .pa file for your UM-UKCA job.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows daily-mean TOA SW-clearsky and LW-clearsky radiative effect fields for&lt;br /&gt;
the double-call-modified version of the UKCA tutorial (gmann job xkwhi).&lt;br /&gt;
&lt;br /&gt;
[[File:idl_dailyTOAradforcings_SWclearsky_LWclearsky_xkwhi.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Worked Solution===&lt;br /&gt;
&lt;br /&gt;
A worked solution to Task 12.2 can be found in job &amp;lt;code&amp;gt;&#039;&#039;&#039;xjrnn&#039;&#039;&#039;&amp;lt;/code&amp;gt;.&lt;br /&gt;
Sample output from a copy of this job can be found on ARCHER in the directory&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Written by [[User:Gmann | Graham Mann]] 2016&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5732</id>
		<title>UKCA Chemistry and Aerosol vn10.4 Tutorial 12</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5732"/>
		<updated>2017-01-06T10:01:18Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* Task 12.2 Configure the UKCA tutorial job to run as a double-call job diagnosing aerosol radiative effects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[UKCA Chemistry and Aerosol Tutorials at vn10.4]]&lt;br /&gt;
&lt;br /&gt;
==What you will learn in this Tutorial==&lt;br /&gt;
&lt;br /&gt;
In this tutorial you will learn about how to quantify the radiative effects of aerosol&lt;br /&gt;
simulated by GLOMAP-mode in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
In the first task you will update your copy of the UKCA tutorial job to request radiative&lt;br /&gt;
fluxes allowing the radiative flux perturbation (or effective radiative forcing) to be&lt;br /&gt;
diagnosed based on difference in the fluxes between a pair of UM-UKCA jobs with some&lt;br /&gt;
difference (e.g. pre-industrial and present-day emissions jobs).&lt;br /&gt;
&lt;br /&gt;
The second task involves configuring a copy of the UKCA tutorial job to run in&lt;br /&gt;
&#039;&#039;double-call configuration&#039;&#039; whereby the aerosol radiative effects can be diagnosed&lt;br /&gt;
at each radiation timestep.&lt;br /&gt;
&lt;br /&gt;
==Task 12.1: Update your copy of the UKCA tutorial job to diagnose Top Of the Atmosphere (TOA) radiative fluxes==&lt;br /&gt;
&lt;br /&gt;
In this task you will add STASH requests for SW and LW outgoing radiative fluxes at&lt;br /&gt;
the top of the atmosphere to enable the radiative forcing from a particular change to be diagnosed.&lt;br /&gt;
&lt;br /&gt;
The user should note however that to illustrate the task we are adding these requests to&lt;br /&gt;
the UKCA tutorial job which is just a 1-day simulation.&lt;br /&gt;
&lt;br /&gt;
One would need to average the flux-difference between the pair of simulations over an&lt;br /&gt;
appropriate timescale (e.g. multi-annual monthly-means) in order to diagnose an&lt;br /&gt;
effective radiative forcing appropriately.&lt;br /&gt;
&lt;br /&gt;
Noting the above caveat, proceed and add daily-mean STASH requests for section 1 item 208&lt;br /&gt;
(all-sky outgoing short wave flux at the top-of-the-atmosphere) and section 2 item 205&lt;br /&gt;
(all-sky outgoing long wave flux at the top-of-the-atmosphere) to the updated copy of the     &lt;br /&gt;
UKCA tutorial suite you produced in Task 10 after adding AOD and OM diags (the&lt;br /&gt;
reference job for this is u-ai830).&lt;br /&gt;
&lt;br /&gt;
The radiative fluxes are 2-dimensional diagnostics (longitude by latitude) so you should&lt;br /&gt;
use the DIAG domain profile in this case. For daily-means use the TDAYM time profile.&lt;br /&gt;
Again, since we require the daily-mean fluxes to be output to the .pa file you should&lt;br /&gt;
request the diagnostics with the UPK usage profile.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows the daily-mean SW and LW all-sky TOA radiative flux &lt;br /&gt;
fields from the UKCA tutorial job for 1st September 1999 (produced by&lt;br /&gt;
gmann job u-ai902, which updated from u-ai830 by adding in the requests).&lt;br /&gt;
&lt;br /&gt;
[[File:ai902_SWandLWallskyTOAfluxes.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Example Output===&lt;br /&gt;
&lt;br /&gt;
Example output for Task12.1 can be found on ARCHER in the following directory:&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.1&lt;br /&gt;
&lt;br /&gt;
==Task 12.2 Configure the UKCA tutorial job to run as a &#039;&#039;double-call&#039;&#039; job diagnosing aerosol radiative effects==&lt;br /&gt;
&lt;br /&gt;
In this task you will copy the copy of the standard tutorial job you used in Task 12.1&lt;br /&gt;
(&amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai902&#039;&#039;&#039;&amp;lt;/code&amp;gt;)&lt;br /&gt;
and configure it to run with &#039;&#039;double-call&#039;&#039; to the radiation scheme to diagnose the radiative&lt;br /&gt;
effects of the aerosol simulated by GLOMAP in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
The UM has been coded to allow the user to diagnose radiative effects of a particular&lt;br /&gt;
forcing agent by calling the radiation scheme twice with one of the calls setting the&lt;br /&gt;
agent&#039;s concentration to zero. Special &#039;&#039;forcing&#039;&#039; STASH items are included within the&lt;br /&gt;
UM which store the difference in the radiative fluxes between the two radiation calls.&lt;br /&gt;
&lt;br /&gt;
In the um &#039;&#039;app&#039;&#039; in the Rose GUI go to namelist --&amp;gt; UM Science Settings&lt;br /&gt;
and then choose &#039;&#039;Section 1 - 2: Radiation&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
In the &#039;&#039;General Options&#039;&#039; panel, you see that at the top there is an&lt;br /&gt;
&#039;&#039;i_rad_extra_call&#039;&#039; &amp;quot;Options for multiple calls to radiation&amp;quot; button-selector.&lt;br /&gt;
&lt;br /&gt;
The UKCA tutorial job is set to &amp;quot;Single call&amp;quot; which is the standard way of running the UM&lt;br /&gt;
with a single call to the radiation scheme every radiation timestep (here one hour).&lt;br /&gt;
You see there is a 2nd option there to select &amp;quot;Diagnose radiative forcings&amp;quot;.&lt;br /&gt;
Selecting this option activates the &#039;&#039;double-call&#039;&#039; approach where the radiation scheme&lt;br /&gt;
is called twice on each radiation timestep once with the forcing agent and&lt;br /&gt;
once without it.&lt;br /&gt;
&lt;br /&gt;
With this option, the idea is that the user can then isolate the difference in&lt;br /&gt;
the radiative fluxes (i.e. the forcing) due to a particular forcing agent of&lt;br /&gt;
interest. There are a host of additional settings that become available when&lt;br /&gt;
you select this option setting exactly which forcings to isolate via the&lt;br /&gt;
difference between the main call and the 2nd call.&lt;br /&gt;
&lt;br /&gt;
The default approach, for this &#039;&#039;Diagnose radiative forcings&#039;&#039; option, involves&lt;br /&gt;
the model diagnosing the radiative forcing based on the flux-difference being&lt;br /&gt;
between the &#039;&#039;advancing call&#039;&#039; including the radiative effects of the forcing&lt;br /&gt;
agent (as usual), and the 2nd &#039;&#039;diagnostic call&#039;&#039; to the radiation setting&lt;br /&gt;
that species&#039; concentration to zero (or not including its effects in the&lt;br /&gt;
radiative transfer calculations).&lt;br /&gt;
&lt;br /&gt;
These additional settings for the diagnostic call are set in three of the&lt;br /&gt;
sub-panels of this &#039;&#039;Section 1 - 2: Radiation&#039;&#039; part of the Rose GUI.&lt;br /&gt;
First it can be seen that there are &amp;quot;SW second call&amp;quot; and &amp;quot;LW second call&amp;quot;&lt;br /&gt;
panels that become active.  There is also a separate &#039;&#039;Diagnostic forcing&#039;&#039;&lt;br /&gt;
panel for setting the precise arrangement for this second call to the&lt;br /&gt;
radiation. In this separate panel it is possible to individually (or multiply)&lt;br /&gt;
select the CLASSIC aerosol types to diagnose their radiative effects.&lt;br /&gt;
For GLOMAP-mode it&#039;s different in that it only makes sense to diagnose the&lt;br /&gt;
effects over all the types considered since the different types are often internally&lt;br /&gt;
mixed within each size class.  The user will likely only want to run these&lt;br /&gt;
effects when the settings in the second radiation call match exactly with&lt;br /&gt;
those in the first radiation call (so that the difference then indicates&lt;br /&gt;
the forcing due to the forcing agent of interest rather than any difference&lt;br /&gt;
in settings). If particular experiments as planned, as usual it is recommended&lt;br /&gt;
to discuss with the relevant expert(s) within NCAS or the Met Office.&lt;br /&gt;
&lt;br /&gt;
As explained above, the default UM setting for the double-call is to set&lt;br /&gt;
the species mixing ratio to zero in the diagnostic call with the&lt;br /&gt;
difference then including any fast feedbacks from the forcing agent&lt;br /&gt;
in the advancing call. However, it is often very useful to be able to&lt;br /&gt;
suppress the fast feedbacks from the forcing agent in question by&lt;br /&gt;
reversing the operation of the double-call including the aerosol&lt;br /&gt;
radiative effects only in the diagnostic call&lt;br /&gt;
and setting the species mixing ratio to zero in the advancing call.&lt;br /&gt;
&lt;br /&gt;
With this &#039;&#039;diagnostic double-call radiative forcing&#039;&#039; configuration,&lt;br /&gt;
the difference in radiative fluxes between the two calls then&lt;br /&gt;
provides the aerosol radiative perturbation with respect to an&lt;br /&gt;
atmosphere containing no aerosols.&lt;br /&gt;
One can diagnose the present-day to pre-industrial aerosol radiative forcing by taking the difference between&lt;br /&gt;
two parallel double-call simulations with aerosol and precursor emissions set to 1850 and 2000.&lt;br /&gt;
All other forcing agents, such as greenhouse gases or land-use change, remain fixed at a reference time period.&lt;br /&gt;
&lt;br /&gt;
Often nudging to meteorological re-analysis winds and temperatures is applied in tandem with the double-call configuration&lt;br /&gt;
in which case the composition-climate model is being run in a similar way to an offline chemistry-transport model.&lt;br /&gt;
This approach has been used extensively in aerosol forcing intercomparisons (e.g. the AeroCom direct forcing&lt;br /&gt;
experiments, Myhre et al., 2013, ACP) with the radiative forcings diagnosed from each model with fast feedbacks&lt;br /&gt;
disabled.&lt;br /&gt;
&lt;br /&gt;
Unfortunately, this &#039;&#039;diagnostic double-call&#039;&#039; configuration is not one of&lt;br /&gt;
the supported configurations of the v10.4 release job. As a consequence,&lt;br /&gt;
to run UM-UKCA with this configuration, you will need to add an&lt;br /&gt;
extra FCM branch to the job and also modify the metadata in the&lt;br /&gt;
the Rose GUI to enable the option to run configured in this way.&lt;br /&gt;
&lt;br /&gt;
First add the branch. In the fcm_make_um &#039;&#039;app&#039;&#039; go to &#039;&#039;env&#039;&#039; and&lt;br /&gt;
then &#039;&#039;Sources&#039;&#039;.  There you should add an extra entry to add-in the&lt;br /&gt;
code-changes from revision 32385 of the following FCM branch:&lt;br /&gt;
&lt;br /&gt;
branches/dev/grahammann/vn10.4_updates_for_dblcalaerforc@32385&lt;br /&gt;
&lt;br /&gt;
The code added in that branch applies a new switch C2C_AER_DIAGCAL&lt;br /&gt;
which controls whether the setting of the forcing agent to zero is&lt;br /&gt;
applied on the advancing call (C2C_AER_DIAGCAL will be .TRUE.&lt;br /&gt;
because the GLOMAP aerosol is included only in the diagnostic call).&lt;br /&gt;
To retain the standard operation of the double-call where the aerosol&lt;br /&gt;
is included in the advancing call but set to zero in the diagnostic&lt;br /&gt;
call, the C2C_AER_DIAGCAL needs to be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
We need to use new metadata to enable this switch -- and also to&lt;br /&gt;
add in a new switch C2C_UKCA_I which controls whether the GLOMAP&lt;br /&gt;
indirect effects are included in the diagnostic call or not.&lt;br /&gt;
&lt;br /&gt;
Just like in the last task, this requires to point the Rose GUI&lt;br /&gt;
to a new rose-meta.conf file within a separate directory outside&lt;br /&gt;
the FCM branch.&lt;br /&gt;
&lt;br /&gt;
In the Rose GUI click on the &#039;&#039;um&#039;&#039; word and you&#039;ll see that&lt;br /&gt;
there is already a separate metadata file specified in that&lt;br /&gt;
job which is set to point to:&lt;br /&gt;
&lt;br /&gt;
/home/grenville/meta/ga7_vn10.4&lt;br /&gt;
&lt;br /&gt;
I have prepared a modified version of this that enables the extra&lt;br /&gt;
C2C_AER_DIAGCAL and C2C_UKCA_I switches to be selected in the Rose GUI.&lt;br /&gt;
So change the file path to instead point to this one:&lt;br /&gt;
&lt;br /&gt;
/home/gmann/meta/ga7_vn10.4_dblcalaerforc&lt;br /&gt;
&lt;br /&gt;
After you have done this, there will be 2 additional buttons&lt;br /&gt;
available in the &#039;&#039;Diagnostic forcing&#039;&#039; panel to allow the user&lt;br /&gt;
to select the C2C_AER_DIAGCAL and C2C_UKCA_I switches.&lt;br /&gt;
&lt;br /&gt;
We want to use this diagnostic call configuration and we want to&lt;br /&gt;
have the forcing be including both the direct and indirect effects&lt;br /&gt;
from the GLOMAP aerosol -- so set C2C_UKCA_D and C2C_UKCA_I to&lt;br /&gt;
be .TRUE.  You should also set the C2C_DUST_D switch to be true&lt;br /&gt;
so that the model is then calculating the overall aerosol&lt;br /&gt;
radiative effects (including both aerosol direct and indirect&lt;br /&gt;
effects with the aerosol consisting of the total of the 6 CLASSIC&lt;br /&gt;
dust bins plus the GLOMAP aerosol modes).  All the other C2C&lt;br /&gt;
switches in that panel should be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
You will also need to update your job to make sure all the settings&lt;br /&gt;
are identical between the diagnostic call and prognostic call&lt;br /&gt;
(in terms of the methods for specifying the clouds and which&lt;br /&gt;
other forcing agents are included or not).&lt;br /&gt;
&lt;br /&gt;
UP TO HERE.&lt;br /&gt;
&lt;br /&gt;
All that remains then is to add in the extra STASH requests for the double-call forcing diagnostics and&lt;br /&gt;
to note a change to the operation of the Aerosol Optical Depth diagnostics.&lt;br /&gt;
&lt;br /&gt;
The approach taken to index the STASH numbers for the radiative forcing items (the flux-difference between&lt;br /&gt;
the two radiation calls) is to apply an offset of +200 to the item number to the corresponding item for&lt;br /&gt;
the conventional radiative fluxes.&lt;br /&gt;
&lt;br /&gt;
In task 12.1 we added STASH requests for the all-sky TOA outgoing SW and LW radiative fluxes which are&lt;br /&gt;
referenced in STASH as section 1 item 208 and section 2 item 205.&lt;br /&gt;
&lt;br /&gt;
To request the all-sky TOA outgoing SW and LW radiative forcings (between the two radiation calls) the&lt;br /&gt;
corresponding item numbers are section 1 item 408 and section 2 item 405.  Unfortunately however,&lt;br /&gt;
at UM v8.4, section 2 item 405 is not available from the UMUI.  In this task we will therefore request&lt;br /&gt;
instead the clear-sky TOA outgoing SW and LW radiative forcing diagnostics (section 1 item 409 and&lt;br /&gt;
section 2 item 406).  Note also that one needs to request both the radiation flux and radiation forcing&lt;br /&gt;
diagnostic in these runs so you should add 4 daily-mean STASH requests for section 1 items 209 and 409&lt;br /&gt;
and section 2 items 206 and 406.&lt;br /&gt;
&lt;br /&gt;
Go to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add the daily-mean (TDAYM)&lt;br /&gt;
requests for both of these flux-forcing pairs of diagnostics. As in Task 10.1, the domain profile&lt;br /&gt;
should be set as DIAG and the usage profile as UPA.&lt;br /&gt;
&lt;br /&gt;
Since we have now configured the model to run with GLOMAP aerosol set to zero in the advancing call,&lt;br /&gt;
the conventional AOD diagnostics introduced in tutorial 10 (section 2 items 300 to 305) will now&lt;br /&gt;
contain zero values when the model is run.&lt;br /&gt;
&lt;br /&gt;
The UM therefore has a second set of AOD diagnostics giving the aerosol optical depth as calculated&lt;br /&gt;
in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The approach for the double-call AOD diagnostics is the same as for the forcing diags, i.e. to&lt;br /&gt;
apply an offset of +200 to the item number to find the corresponding AOD item in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The double-call GLOMAP AOD diagnostics are therefore found in section 2 items 500 to 505.&lt;br /&gt;
&lt;br /&gt;
At v8.4 it is necessary to add an extra user-STASHmaster file to enable these STASH items to be&lt;br /&gt;
requested in the job. In the &#039;&#039;User-STASHmaster files. Diags, Progs &amp;amp; Ancils&#039;&#039; window off the&lt;br /&gt;
STASH panel you need to add in the following file&lt;br /&gt;
&lt;br /&gt;
  ~gmann/stashfiles/dblecall_aods_only.stash&lt;br /&gt;
&lt;br /&gt;
You will also need to add the hand-edit&lt;br /&gt;
&lt;br /&gt;
 ~gmann/umui_jobs/hand_edits/vn8.4_nosulphateAOD.ed&lt;br /&gt;
&lt;br /&gt;
which removes the CLASSIC sulphate AOD as it causes a crash in the double-call forcing configuration.&lt;br /&gt;
You should also remove this STASH number (2-284) as well as the mineral dust optical depth (2-285)&lt;br /&gt;
from the STASH requests panel. This causes a crash on ARCHER, but not on MONSooN.&lt;br /&gt;
&lt;br /&gt;
If you view that file you see that as well as providing the STASH settings for the GLOMAP&lt;br /&gt;
double-call AOD diagnostics for each mode, it also provides the information to the UMUI to allow&lt;br /&gt;
double-call AOD diagnostics to be requested for each of the CLASSIC aerosol types.&lt;br /&gt;
&lt;br /&gt;
Once you have have added the &#039;&#039;dblecall_aods_only.stash&#039;&#039; user-STASHmaster file you should proceed&lt;br /&gt;
to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add daily-mean (TDAYM)&lt;br /&gt;
requests for the double-call GLOMAP AODs (section 2 items 500 to 505) with usage profile UPA&lt;br /&gt;
and domain profile DIAG_AOT.&lt;br /&gt;
&lt;br /&gt;
The simulation will then output daily-mean SW and LW clear-sky forcings and double-call AOD&lt;br /&gt;
diagnostics to the .pa file for your UM-UKCA job.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows daily-mean TOA SW-clearsky and LW-clearsky radiative effect fields for&lt;br /&gt;
the double-call-modified version of the UKCA tutorial (gmann job xkwhi).&lt;br /&gt;
&lt;br /&gt;
[[File:idl_dailyTOAradforcings_SWclearsky_LWclearsky_xkwhi.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Worked Solution===&lt;br /&gt;
&lt;br /&gt;
A worked solution to Task 12.2 can be found in job &amp;lt;code&amp;gt;&#039;&#039;&#039;xjrnn&#039;&#039;&#039;&amp;lt;/code&amp;gt;.&lt;br /&gt;
Sample output from a copy of this job can be found on ARCHER in the directory&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Written by [[User:Gmann | Graham Mann]] 2016&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5731</id>
		<title>UKCA Chemistry and Aerosol vn10.4 Tutorial 12</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5731"/>
		<updated>2017-01-06T10:00:04Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* Task 12.2 Configure the UKCA tutorial job to run as a double-call job diagnosing aerosol radiative effects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[UKCA Chemistry and Aerosol Tutorials at vn10.4]]&lt;br /&gt;
&lt;br /&gt;
==What you will learn in this Tutorial==&lt;br /&gt;
&lt;br /&gt;
In this tutorial you will learn about how to quantify the radiative effects of aerosol&lt;br /&gt;
simulated by GLOMAP-mode in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
In the first task you will update your copy of the UKCA tutorial job to request radiative&lt;br /&gt;
fluxes allowing the radiative flux perturbation (or effective radiative forcing) to be&lt;br /&gt;
diagnosed based on difference in the fluxes between a pair of UM-UKCA jobs with some&lt;br /&gt;
difference (e.g. pre-industrial and present-day emissions jobs).&lt;br /&gt;
&lt;br /&gt;
The second task involves configuring a copy of the UKCA tutorial job to run in&lt;br /&gt;
&#039;&#039;double-call configuration&#039;&#039; whereby the aerosol radiative effects can be diagnosed&lt;br /&gt;
at each radiation timestep.&lt;br /&gt;
&lt;br /&gt;
==Task 12.1: Update your copy of the UKCA tutorial job to diagnose Top Of the Atmosphere (TOA) radiative fluxes==&lt;br /&gt;
&lt;br /&gt;
In this task you will add STASH requests for SW and LW outgoing radiative fluxes at&lt;br /&gt;
the top of the atmosphere to enable the radiative forcing from a particular change to be diagnosed.&lt;br /&gt;
&lt;br /&gt;
The user should note however that to illustrate the task we are adding these requests to&lt;br /&gt;
the UKCA tutorial job which is just a 1-day simulation.&lt;br /&gt;
&lt;br /&gt;
One would need to average the flux-difference between the pair of simulations over an&lt;br /&gt;
appropriate timescale (e.g. multi-annual monthly-means) in order to diagnose an&lt;br /&gt;
effective radiative forcing appropriately.&lt;br /&gt;
&lt;br /&gt;
Noting the above caveat, proceed and add daily-mean STASH requests for section 1 item 208&lt;br /&gt;
(all-sky outgoing short wave flux at the top-of-the-atmosphere) and section 2 item 205&lt;br /&gt;
(all-sky outgoing long wave flux at the top-of-the-atmosphere) to the updated copy of the     &lt;br /&gt;
UKCA tutorial suite you produced in Task 10 after adding AOD and OM diags (the&lt;br /&gt;
reference job for this is u-ai830).&lt;br /&gt;
&lt;br /&gt;
The radiative fluxes are 2-dimensional diagnostics (longitude by latitude) so you should&lt;br /&gt;
use the DIAG domain profile in this case. For daily-means use the TDAYM time profile.&lt;br /&gt;
Again, since we require the daily-mean fluxes to be output to the .pa file you should&lt;br /&gt;
request the diagnostics with the UPK usage profile.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows the daily-mean SW and LW all-sky TOA radiative flux &lt;br /&gt;
fields from the UKCA tutorial job for 1st September 1999 (produced by&lt;br /&gt;
gmann job u-ai902, which updated from u-ai830 by adding in the requests).&lt;br /&gt;
&lt;br /&gt;
[[File:ai902_SWandLWallskyTOAfluxes.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Example Output===&lt;br /&gt;
&lt;br /&gt;
Example output for Task12.1 can be found on ARCHER in the following directory:&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.1&lt;br /&gt;
&lt;br /&gt;
==Task 12.2 Configure the UKCA tutorial job to run as a &#039;&#039;double-call&#039;&#039; job diagnosing aerosol radiative effects==&lt;br /&gt;
&lt;br /&gt;
In this task you will copy the copy of the standard tutorial job you used in Task 12.1&lt;br /&gt;
(&amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai902&#039;&#039;&#039;&amp;lt;/code&amp;gt;)&lt;br /&gt;
and configure it to run with &#039;&#039;double-call&#039;&#039; to the radiation scheme to diagnose the radiative&lt;br /&gt;
effects of the aerosol simulated by GLOMAP in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
The UM has been coded to allow the user to diagnose radiative effects of a particular&lt;br /&gt;
forcing agent by calling the radiation scheme twice with one of the calls setting the&lt;br /&gt;
agent&#039;s concentration to zero. Special &#039;&#039;forcing&#039;&#039; STASH items are included within the&lt;br /&gt;
UM which store the difference in the radiative fluxes between the two radiation calls.&lt;br /&gt;
&lt;br /&gt;
In the um &#039;&#039;app&#039;&#039; in the Rose GUI go to namelist --&amp;gt; UM Science Settings&lt;br /&gt;
and then choose &#039;&#039;Section 1 - 2: Radiation&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
In the &#039;&#039;General Options&#039;&#039; panel, you see that at the top there is an&lt;br /&gt;
&#039;&#039;i_rad_extra_call&#039;&#039; &amp;quot;Options for multiple calls to radiation&amp;quot; button-selector.&lt;br /&gt;
&lt;br /&gt;
The UKCA tutorial job is set to &amp;quot;Single call&amp;quot; which is the standard way of running the UM&lt;br /&gt;
with a single call to the radiation scheme every radiation timestep (here one hour).&lt;br /&gt;
You see there is a 2nd option there to select &amp;quot;Diagnose radiative forcings&amp;quot;.&lt;br /&gt;
Selecting this option activates the &#039;&#039;double-call&#039;&#039; approach where the radiation scheme&lt;br /&gt;
is called twice on each radiation timestep once with the forcing agent and&lt;br /&gt;
once without it.&lt;br /&gt;
&lt;br /&gt;
With this option, the idea is that the user can then isolate the difference in&lt;br /&gt;
the radiative fluxes (i.e. the forcing) due to a particular forcing agent of&lt;br /&gt;
interest. There are a host of additional settings that become available when&lt;br /&gt;
you select this option setting exactly which forcings to isolate via the&lt;br /&gt;
difference between the main call and the 2nd call.&lt;br /&gt;
&lt;br /&gt;
The default approach, for this &#039;&#039;Diagnose radiative forcings&#039;&#039; option, involves&lt;br /&gt;
the model diagnosing the radiative forcing based on the flux-difference being&lt;br /&gt;
between the &#039;&#039;advancing call&#039;&#039; including the radiative effects of the forcing&lt;br /&gt;
agent (as usual), and the 2nd &#039;&#039;diagnostic call&#039;&#039; to the radiation setting&lt;br /&gt;
that species&#039; concentration to zero (or not including its effects in the&lt;br /&gt;
radiative transfer calculations).&lt;br /&gt;
&lt;br /&gt;
These additional settings for the diagnostic call are set in three of the&lt;br /&gt;
sub-panels of this &#039;&#039;Section 1 - 2: Radiation&#039;&#039; part of the Rose GUI.&lt;br /&gt;
First it can be seen that there are &amp;quot;SW second call&amp;quot; and &amp;quot;LW second call&amp;quot;&lt;br /&gt;
panels that become active.  There is also a separate &#039;&#039;Diagnostic forcing&#039;&#039;&lt;br /&gt;
panel for setting the precise arrangement for this second call to the&lt;br /&gt;
radiation. In this separate panel it is possible to individually (or multiply)&lt;br /&gt;
select the CLASSIC aerosol types to diagnose their radiative effects.&lt;br /&gt;
For GLOMAP-mode it&#039;s different in that it only makes sense to diagnose the&lt;br /&gt;
effects over all the types considered since the different types are often internally&lt;br /&gt;
mixed within each size class.  The user will likely only want to run these&lt;br /&gt;
effects when the settings in the second radiation call match exactly with&lt;br /&gt;
those in the first radiation call (so that the difference then indicates&lt;br /&gt;
the forcing due to the forcing agent of interest rather than any difference&lt;br /&gt;
in settings. If particular experiments as planned, as usual it is recommended&lt;br /&gt;
to discuss with the relevant expert(s) within NCAS or the Met Office.&lt;br /&gt;
&lt;br /&gt;
As explained above, the default UM setting for the double-call is to set&lt;br /&gt;
the species mixing ratio to zero in the diagnostic call with the&lt;br /&gt;
difference then including any fast feedbacks from the forcing agent&lt;br /&gt;
in the advancing call. However, it is often very useful to be able to&lt;br /&gt;
suppress the fast feedbacks from the forcing agent in question by&lt;br /&gt;
reversing the operation of the double-call including the aerosol&lt;br /&gt;
radiative effects only in the diagnostic call&lt;br /&gt;
and setting the species mixing ratio to zero in the advancing call.&lt;br /&gt;
&lt;br /&gt;
With this &#039;&#039;diagnostic double-call radiative forcing&#039;&#039; configuration,&lt;br /&gt;
the difference in radiative fluxes between the two calls then&lt;br /&gt;
provides the aerosol radiative perturbation with respect to an&lt;br /&gt;
atmosphere containing no aerosols.&lt;br /&gt;
One can diagnose the present-day to pre-industrial aerosol radiative forcing by taking the difference between&lt;br /&gt;
two parallel double-call simulations with aerosol and precursor emissions set to 1850 and 2000.&lt;br /&gt;
All other forcing agents, such as greenhouse gases or land-use change, remain fixed at a reference time period.&lt;br /&gt;
&lt;br /&gt;
Often nudging to meteorological re-analysis winds and temperatures is applied in tandem with the double-call configuration&lt;br /&gt;
in which case the composition-climate model is being run in a similar way to an offline chemistry-transport model.&lt;br /&gt;
This approach has been used extensively in aerosol forcing intercomparisons (e.g. the AeroCom direct forcing&lt;br /&gt;
experiments, Myhre et al., 2013, ACP) with the radiative forcings diagnosed from each model with fast feedbacks&lt;br /&gt;
disabled.&lt;br /&gt;
&lt;br /&gt;
Unfortunately, this &#039;&#039;diagnostic double-call&#039;&#039; configuration is not one of&lt;br /&gt;
the supported configurations of the v10.4 release job. As a consequence,&lt;br /&gt;
to run UM-UKCA with this configuration, you will need to add an&lt;br /&gt;
extra FCM branch to the job and also modify the metadata in the&lt;br /&gt;
the Rose GUI to enable the option to run configured in this way.&lt;br /&gt;
&lt;br /&gt;
First add the branch. In the fcm_make_um &#039;&#039;app&#039;&#039; go to &#039;&#039;env&#039;&#039; and&lt;br /&gt;
then &#039;&#039;Sources&#039;&#039;.  There you should add an extra entry to add-in the&lt;br /&gt;
code-changes from revision 32385 of the following FCM branch:&lt;br /&gt;
&lt;br /&gt;
branches/dev/grahammann/vn10.4_updates_for_dblcalaerforc@32385&lt;br /&gt;
&lt;br /&gt;
The code added in that branch applies a new switch C2C_AER_DIAGCAL&lt;br /&gt;
which controls whether the setting of the forcing agent to zero is&lt;br /&gt;
applied on the advancing call (C2C_AER_DIAGCAL will be .TRUE.&lt;br /&gt;
because the GLOMAP aerosol is included only in the diagnostic call).&lt;br /&gt;
To retain the standard operation of the double-call where the aerosol&lt;br /&gt;
is included in the advancing call but set to zero in the diagnostic&lt;br /&gt;
call, the C2C_AER_DIAGCAL needs to be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
We need to use new metadata to enable this switch -- and also to&lt;br /&gt;
add in a new switch C2C_UKCA_I which controls whether the GLOMAP&lt;br /&gt;
indirect effects are included in the diagnostic call or not.&lt;br /&gt;
&lt;br /&gt;
Just like in the last task, this requires to point the Rose GUI&lt;br /&gt;
to a new rose-meta.conf file within a separate directory outside&lt;br /&gt;
the FCM branch.&lt;br /&gt;
&lt;br /&gt;
In the Rose GUI click on the &#039;&#039;um&#039;&#039; word and you&#039;ll see that&lt;br /&gt;
there is already a separate metadata file specified in that&lt;br /&gt;
job which is set to point to:&lt;br /&gt;
&lt;br /&gt;
/home/grenville/meta/ga7_vn10.4&lt;br /&gt;
&lt;br /&gt;
I have prepared a modified version of this that enables the extra&lt;br /&gt;
C2C_AER_DIAGCAL and C2C_UKCA_I switches to be selected in the Rose GUI.&lt;br /&gt;
So change the file path to instead point to this one:&lt;br /&gt;
&lt;br /&gt;
/home/gmann/meta/ga7_vn10.4_dblcalaerforc&lt;br /&gt;
&lt;br /&gt;
After you have done this, there will be 2 additional buttons&lt;br /&gt;
available in the &#039;&#039;Diagnostic forcing&#039;&#039; panel to allow the user&lt;br /&gt;
to select the C2C_AER_DIAGCAL and C2C_UKCA_I switches.&lt;br /&gt;
&lt;br /&gt;
We want to use this diagnostic call configuration and we want to&lt;br /&gt;
have the forcing be including both the direct and indirect effects&lt;br /&gt;
from the GLOMAP aerosol -- so set C2C_UKCA_D and C2C_UKCA_I to&lt;br /&gt;
be .TRUE.  You should also set the C2C_DUST_D switch to be true&lt;br /&gt;
so that the model is then calculating the overall aerosol&lt;br /&gt;
radiative effects (including both aerosol direct and indirect&lt;br /&gt;
effects with the aerosol consisting of the total of the 6 CLASSIC&lt;br /&gt;
dust bins plus the GLOMAP aerosol modes).  All the other C2C&lt;br /&gt;
switches in that panel should be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
You will also need to update your job to make sure all the settings&lt;br /&gt;
are identical between the diagnostic call and prognostic call&lt;br /&gt;
(in terms of the methods for specifying the clouds and which&lt;br /&gt;
other forcing agents are included or not).&lt;br /&gt;
&lt;br /&gt;
UP TO HERE.&lt;br /&gt;
&lt;br /&gt;
All that remains then is to add in the extra STASH requests for the double-call forcing diagnostics and&lt;br /&gt;
to note a change to the operation of the Aerosol Optical Depth diagnostics.&lt;br /&gt;
&lt;br /&gt;
The approach taken to index the STASH numbers for the radiative forcing items (the flux-difference between&lt;br /&gt;
the two radiation calls) is to apply an offset of +200 to the item number to the corresponding item for&lt;br /&gt;
the conventional radiative fluxes.&lt;br /&gt;
&lt;br /&gt;
In task 12.1 we added STASH requests for the all-sky TOA outgoing SW and LW radiative fluxes which are&lt;br /&gt;
referenced in STASH as section 1 item 208 and section 2 item 205.&lt;br /&gt;
&lt;br /&gt;
To request the all-sky TOA outgoing SW and LW radiative forcings (between the two radiation calls) the&lt;br /&gt;
corresponding item numbers are section 1 item 408 and section 2 item 405.  Unfortunately however,&lt;br /&gt;
at UM v8.4, section 2 item 405 is not available from the UMUI.  In this task we will therefore request&lt;br /&gt;
instead the clear-sky TOA outgoing SW and LW radiative forcing diagnostics (section 1 item 409 and&lt;br /&gt;
section 2 item 406).  Note also that one needs to request both the radiation flux and radiation forcing&lt;br /&gt;
diagnostic in these runs so you should add 4 daily-mean STASH requests for section 1 items 209 and 409&lt;br /&gt;
and section 2 items 206 and 406.&lt;br /&gt;
&lt;br /&gt;
Go to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add the daily-mean (TDAYM)&lt;br /&gt;
requests for both of these flux-forcing pairs of diagnostics. As in Task 10.1, the domain profile&lt;br /&gt;
should be set as DIAG and the usage profile as UPA.&lt;br /&gt;
&lt;br /&gt;
Since we have now configured the model to run with GLOMAP aerosol set to zero in the advancing call,&lt;br /&gt;
the conventional AOD diagnostics introduced in tutorial 10 (section 2 items 300 to 305) will now&lt;br /&gt;
contain zero values when the model is run.&lt;br /&gt;
&lt;br /&gt;
The UM therefore has a second set of AOD diagnostics giving the aerosol optical depth as calculated&lt;br /&gt;
in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The approach for the double-call AOD diagnostics is the same as for the forcing diags, i.e. to&lt;br /&gt;
apply an offset of +200 to the item number to find the corresponding AOD item in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The double-call GLOMAP AOD diagnostics are therefore found in section 2 items 500 to 505.&lt;br /&gt;
&lt;br /&gt;
At v8.4 it is necessary to add an extra user-STASHmaster file to enable these STASH items to be&lt;br /&gt;
requested in the job. In the &#039;&#039;User-STASHmaster files. Diags, Progs &amp;amp; Ancils&#039;&#039; window off the&lt;br /&gt;
STASH panel you need to add in the following file&lt;br /&gt;
&lt;br /&gt;
  ~gmann/stashfiles/dblecall_aods_only.stash&lt;br /&gt;
&lt;br /&gt;
You will also need to add the hand-edit&lt;br /&gt;
&lt;br /&gt;
 ~gmann/umui_jobs/hand_edits/vn8.4_nosulphateAOD.ed&lt;br /&gt;
&lt;br /&gt;
which removes the CLASSIC sulphate AOD as it causes a crash in the double-call forcing configuration.&lt;br /&gt;
You should also remove this STASH number (2-284) as well as the mineral dust optical depth (2-285)&lt;br /&gt;
from the STASH requests panel. This causes a crash on ARCHER, but not on MONSooN.&lt;br /&gt;
&lt;br /&gt;
If you view that file you see that as well as providing the STASH settings for the GLOMAP&lt;br /&gt;
double-call AOD diagnostics for each mode, it also provides the information to the UMUI to allow&lt;br /&gt;
double-call AOD diagnostics to be requested for each of the CLASSIC aerosol types.&lt;br /&gt;
&lt;br /&gt;
Once you have have added the &#039;&#039;dblecall_aods_only.stash&#039;&#039; user-STASHmaster file you should proceed&lt;br /&gt;
to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add daily-mean (TDAYM)&lt;br /&gt;
requests for the double-call GLOMAP AODs (section 2 items 500 to 505) with usage profile UPA&lt;br /&gt;
and domain profile DIAG_AOT.&lt;br /&gt;
&lt;br /&gt;
The simulation will then output daily-mean SW and LW clear-sky forcings and double-call AOD&lt;br /&gt;
diagnostics to the .pa file for your UM-UKCA job.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows daily-mean TOA SW-clearsky and LW-clearsky radiative effect fields for&lt;br /&gt;
the double-call-modified version of the UKCA tutorial (gmann job xkwhi).&lt;br /&gt;
&lt;br /&gt;
[[File:idl_dailyTOAradforcings_SWclearsky_LWclearsky_xkwhi.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Worked Solution===&lt;br /&gt;
&lt;br /&gt;
A worked solution to Task 12.2 can be found in job &amp;lt;code&amp;gt;&#039;&#039;&#039;xjrnn&#039;&#039;&#039;&amp;lt;/code&amp;gt;.&lt;br /&gt;
Sample output from a copy of this job can be found on ARCHER in the directory&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Written by [[User:Gmann | Graham Mann]] 2016&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5730</id>
		<title>UKCA Chemistry and Aerosol vn10.4 Tutorial 12</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5730"/>
		<updated>2017-01-06T09:58:07Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* Task 12.2 Configure the UKCA tutorial job to run as a double-call job diagnosing aerosol radiative effects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[UKCA Chemistry and Aerosol Tutorials at vn10.4]]&lt;br /&gt;
&lt;br /&gt;
==What you will learn in this Tutorial==&lt;br /&gt;
&lt;br /&gt;
In this tutorial you will learn about how to quantify the radiative effects of aerosol&lt;br /&gt;
simulated by GLOMAP-mode in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
In the first task you will update your copy of the UKCA tutorial job to request radiative&lt;br /&gt;
fluxes allowing the radiative flux perturbation (or effective radiative forcing) to be&lt;br /&gt;
diagnosed based on difference in the fluxes between a pair of UM-UKCA jobs with some&lt;br /&gt;
difference (e.g. pre-industrial and present-day emissions jobs).&lt;br /&gt;
&lt;br /&gt;
The second task involves configuring a copy of the UKCA tutorial job to run in&lt;br /&gt;
&#039;&#039;double-call configuration&#039;&#039; whereby the aerosol radiative effects can be diagnosed&lt;br /&gt;
at each radiation timestep.&lt;br /&gt;
&lt;br /&gt;
==Task 12.1: Update your copy of the UKCA tutorial job to diagnose Top Of the Atmosphere (TOA) radiative fluxes==&lt;br /&gt;
&lt;br /&gt;
In this task you will add STASH requests for SW and LW outgoing radiative fluxes at&lt;br /&gt;
the top of the atmosphere to enable the radiative forcing from a particular change to be diagnosed.&lt;br /&gt;
&lt;br /&gt;
The user should note however that to illustrate the task we are adding these requests to&lt;br /&gt;
the UKCA tutorial job which is just a 1-day simulation.&lt;br /&gt;
&lt;br /&gt;
One would need to average the flux-difference between the pair of simulations over an&lt;br /&gt;
appropriate timescale (e.g. multi-annual monthly-means) in order to diagnose an&lt;br /&gt;
effective radiative forcing appropriately.&lt;br /&gt;
&lt;br /&gt;
Noting the above caveat, proceed and add daily-mean STASH requests for section 1 item 208&lt;br /&gt;
(all-sky outgoing short wave flux at the top-of-the-atmosphere) and section 2 item 205&lt;br /&gt;
(all-sky outgoing long wave flux at the top-of-the-atmosphere) to the updated copy of the     &lt;br /&gt;
UKCA tutorial suite you produced in Task 10 after adding AOD and OM diags (the&lt;br /&gt;
reference job for this is u-ai830).&lt;br /&gt;
&lt;br /&gt;
The radiative fluxes are 2-dimensional diagnostics (longitude by latitude) so you should&lt;br /&gt;
use the DIAG domain profile in this case. For daily-means use the TDAYM time profile.&lt;br /&gt;
Again, since we require the daily-mean fluxes to be output to the .pa file you should&lt;br /&gt;
request the diagnostics with the UPK usage profile.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows the daily-mean SW and LW all-sky TOA radiative flux &lt;br /&gt;
fields from the UKCA tutorial job for 1st September 1999 (produced by&lt;br /&gt;
gmann job u-ai902, which updated from u-ai830 by adding in the requests).&lt;br /&gt;
&lt;br /&gt;
[[File:ai902_SWandLWallskyTOAfluxes.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Example Output===&lt;br /&gt;
&lt;br /&gt;
Example output for Task12.1 can be found on ARCHER in the following directory:&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.1&lt;br /&gt;
&lt;br /&gt;
==Task 12.2 Configure the UKCA tutorial job to run as a &#039;&#039;double-call&#039;&#039; job diagnosing aerosol radiative effects==&lt;br /&gt;
&lt;br /&gt;
In this task you will copy the copy of the standard tutorial job you used in Task 12.1&lt;br /&gt;
(&amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai902&#039;&#039;&#039;&amp;lt;/code&amp;gt;)&lt;br /&gt;
and configure it to run with &#039;&#039;double-call&#039;&#039; to the radiation scheme to diagnose the radiative&lt;br /&gt;
effects of the aerosol simulated by GLOMAP in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
The UM has been coded to allow the user to diagnose radiative effects of a particular&lt;br /&gt;
forcing agent by calling the radiation scheme twice with one of the calls setting the&lt;br /&gt;
agent&#039;s concentration to zero. Special &#039;&#039;forcing&#039;&#039; STASH items are included within the&lt;br /&gt;
UM which store the difference in the radiative fluxes between the two radiation calls.&lt;br /&gt;
&lt;br /&gt;
In the um &#039;&#039;app&#039;&#039; in the Rose GUI go to namelist --&amp;gt; UM Science Settings&lt;br /&gt;
and then choose &#039;&#039;Section 1 - 2: Radiation&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
In the &#039;&#039;General Options&#039;&#039; panel, you see that at the top there is an&lt;br /&gt;
&#039;&#039;i_rad_extra_call&#039;&#039; &amp;quot;Options for multiple calls to radiation&amp;quot; button-selector.&lt;br /&gt;
&lt;br /&gt;
The UKCA tutorial job is set to &amp;quot;Single call&amp;quot; which is the standard way of running the UM&lt;br /&gt;
with a single call to the radiation scheme every radiation timestep (here one hour).&lt;br /&gt;
You see there is a 2nd option there to select &amp;quot;Diagnose radiative forcings&amp;quot;.&lt;br /&gt;
Selecting this option activates the &#039;&#039;double-call&#039;&#039; approach where the radiation scheme&lt;br /&gt;
is called twice on each radiation timestep once with the forcing agent and&lt;br /&gt;
once without it.&lt;br /&gt;
&lt;br /&gt;
With this option, the idea is that the user can then isolate the difference in&lt;br /&gt;
the radiative fluxes (i.e. the forcing) due to a particular forcing agent of&lt;br /&gt;
interest. There are a host of additional settings that become available when&lt;br /&gt;
you select this option setting exactly which forcings to isolate via the&lt;br /&gt;
difference between the main call and the 2nd call.&lt;br /&gt;
&lt;br /&gt;
The default approach, for this &#039;&#039;Diagnose radiative forcings&#039;&#039; option, involves&lt;br /&gt;
the model diagnosing the radiative forcing based on the flux-difference being&lt;br /&gt;
between the &#039;&#039;advancing call&#039;&#039; including the radiative effects of the forcing&lt;br /&gt;
agent (as usual), and the 2nd &#039;&#039;diagnostic call&#039;&#039; to the radiation setting&lt;br /&gt;
that species&#039; concentration to zero (or not including its effects in the&lt;br /&gt;
radiative transfer calculations).&lt;br /&gt;
&lt;br /&gt;
These additional settings for the diagnostic call are set in three of the&lt;br /&gt;
sub-panels of this &#039;&#039;Section 1 - 2: Radiation&#039;&#039; part of the Rose GUI.&lt;br /&gt;
First it can be seen that there are &amp;quot;SW second call&amp;quot; and &amp;quot;LW second call&amp;quot;&lt;br /&gt;
panels that become active.  There is also a separate &#039;&#039;Diagnostic forcing&#039;&#039;&lt;br /&gt;
panel for setting the precise arrangement for this second call to the&lt;br /&gt;
radiation. In this separate panel it is possible to individually (or multiply)&lt;br /&gt;
select the CLASSIC aerosol types to diagnose their radiative effects.&lt;br /&gt;
For GLOMAP-mode it&#039;s different in that it only makes sense to diagnose the&lt;br /&gt;
effects over all the types considered since the different types are internally&lt;br /&gt;
mixed within each size class.  The user will likely only want to run these&lt;br /&gt;
effects when the settings in the second radiation call match exactly with&lt;br /&gt;
those in the first radiation call (so that the difference then indicates&lt;br /&gt;
the forcing due to the forcing agent of interest rather than any difference&lt;br /&gt;
in settings. If particular experiments as planned, as usual it is recommended&lt;br /&gt;
to discuss with the relevant expert(s) within NCAS or the Met Office.&lt;br /&gt;
&lt;br /&gt;
As explained above, the default UM setting for the double-call is to set&lt;br /&gt;
the species mixing ratio to zero in the diagnostic call with the&lt;br /&gt;
difference then including any fast feedbacks from the forcing agent&lt;br /&gt;
in the advancing call. However, it is often very useful to be able to&lt;br /&gt;
suppress the fast feedbacks from the forcing agent in question by&lt;br /&gt;
reversing the operation of the double-call including the aerosol&lt;br /&gt;
radiative effects only in the diagnostic call&lt;br /&gt;
and setting the species mixing ratio to zero in the advancing call.&lt;br /&gt;
&lt;br /&gt;
With this &#039;&#039;diagnostic double-call radiative forcing&#039;&#039; configuration,&lt;br /&gt;
the difference in radiative fluxes between the two calls then&lt;br /&gt;
provides the aerosol radiative perturbation with respect to an&lt;br /&gt;
atmosphere containing no aerosols.&lt;br /&gt;
One can diagnose the present-day to pre-industrial aerosol radiative forcing by taking the difference between&lt;br /&gt;
two parallel double-call simulations with aerosol and precursor emissions set to 1850 and 2000.&lt;br /&gt;
All other forcing agents, such as greenhouse gases or land-use change, remain fixed at a reference time period.&lt;br /&gt;
&lt;br /&gt;
Often nudging to meteorological re-analysis winds and temperatures is applied in tandem with the double-call configuration&lt;br /&gt;
in which case the composition-climate model is being run in a similar way to an offline chemistry-transport model.&lt;br /&gt;
This approach has been used extensively in aerosol forcing intercomparisons (e.g. the AeroCom direct forcing&lt;br /&gt;
experiments, Myhre et al., 2013, ACP) with the radiative forcings diagnosed from each model with fast feedbacks&lt;br /&gt;
disabled.&lt;br /&gt;
&lt;br /&gt;
Unfortunately, this &#039;&#039;diagnostic double-call&#039;&#039; configuration is not one of&lt;br /&gt;
the supported configurations of the v10.4 release job. As a consequence,&lt;br /&gt;
to run UM-UKCA with this configuration, you will need to add an&lt;br /&gt;
extra FCM branch to the job and also modify the metadata in the&lt;br /&gt;
the Rose GUI to enable the option to run configured in this way.&lt;br /&gt;
&lt;br /&gt;
First add the branch. In the fcm_make_um &#039;&#039;app&#039;&#039; go to &#039;&#039;env&#039;&#039; and&lt;br /&gt;
then &#039;&#039;Sources&#039;&#039;.  There you should add an extra entry to add-in the&lt;br /&gt;
code-changes from revision 32385 of the following FCM branch:&lt;br /&gt;
&lt;br /&gt;
branches/dev/grahammann/vn10.4_updates_for_dblcalaerforc@32385&lt;br /&gt;
&lt;br /&gt;
The code added in that branch applies a new switch C2C_AER_DIAGCAL&lt;br /&gt;
which controls whether the setting of the forcing agent to zero is&lt;br /&gt;
applied on the advancing call (C2C_AER_DIAGCAL will be .TRUE.&lt;br /&gt;
because the GLOMAP aerosol is included only in the diagnostic call).&lt;br /&gt;
To retain the standard operation of the double-call where the aerosol&lt;br /&gt;
is included in the advancing call but set to zero in the diagnostic&lt;br /&gt;
call, the C2C_AER_DIAGCAL needs to be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
We need to use new metadata to enable this switch -- and also to&lt;br /&gt;
add in a new switch C2C_UKCA_I which controls whether the GLOMAP&lt;br /&gt;
indirect effects are included in the diagnostic call or not.&lt;br /&gt;
&lt;br /&gt;
Just like in the last task, this requires to point the Rose GUI&lt;br /&gt;
to a new rose-meta.conf file within a separate directory outside&lt;br /&gt;
the FCM branch.&lt;br /&gt;
&lt;br /&gt;
In the Rose GUI click on the &#039;&#039;um&#039;&#039; word and you&#039;ll see that&lt;br /&gt;
there is already a separate metadata file specified in that&lt;br /&gt;
job which is set to point to:&lt;br /&gt;
&lt;br /&gt;
/home/grenville/meta/ga7_vn10.4&lt;br /&gt;
&lt;br /&gt;
I have prepared a modified version of this that enables the extra&lt;br /&gt;
C2C_AER_DIAGCAL and C2C_UKCA_I switches to be selected in the Rose GUI.&lt;br /&gt;
So change the file path to instead point to this one:&lt;br /&gt;
&lt;br /&gt;
/home/gmann/meta/ga7_vn10.4_dblcalaerforc&lt;br /&gt;
&lt;br /&gt;
After you have done this, there will be 2 additional buttons&lt;br /&gt;
available in the &#039;&#039;Diagnostic forcing&#039;&#039; panel to allow the user&lt;br /&gt;
to select the C2C_AER_DIAGCAL and C2C_UKCA_I switches.&lt;br /&gt;
&lt;br /&gt;
We want to use this diagnostic call configuration and we want to&lt;br /&gt;
have the forcing be including both the direct and indirect effects&lt;br /&gt;
from the GLOMAP aerosol -- so set C2C_UKCA_D and C2C_UKCA_I to&lt;br /&gt;
be .TRUE.  You should also set the C2C_DUST_D switch to be true&lt;br /&gt;
so that the model is then calculating the overall aerosol&lt;br /&gt;
radiative effects (including both aerosol direct and indirect&lt;br /&gt;
effects with the aerosol consisting of the total of the 6 CLASSIC&lt;br /&gt;
dust bins plus the GLOMAP aerosol modes).  All the other C2C&lt;br /&gt;
switches in that panel should be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
You will also need to update your job to make sure all the settings&lt;br /&gt;
are identical between the diagnostic call and prognostic call&lt;br /&gt;
(in terms of the methods for specifying the clouds and which&lt;br /&gt;
other forcing agents are included or not).&lt;br /&gt;
&lt;br /&gt;
UP TO HERE.&lt;br /&gt;
&lt;br /&gt;
All that remains then is to add in the extra STASH requests for the double-call forcing diagnostics and&lt;br /&gt;
to note a change to the operation of the Aerosol Optical Depth diagnostics.&lt;br /&gt;
&lt;br /&gt;
The approach taken to index the STASH numbers for the radiative forcing items (the flux-difference between&lt;br /&gt;
the two radiation calls) is to apply an offset of +200 to the item number to the corresponding item for&lt;br /&gt;
the conventional radiative fluxes.&lt;br /&gt;
&lt;br /&gt;
In task 12.1 we added STASH requests for the all-sky TOA outgoing SW and LW radiative fluxes which are&lt;br /&gt;
referenced in STASH as section 1 item 208 and section 2 item 205.&lt;br /&gt;
&lt;br /&gt;
To request the all-sky TOA outgoing SW and LW radiative forcings (between the two radiation calls) the&lt;br /&gt;
corresponding item numbers are section 1 item 408 and section 2 item 405.  Unfortunately however,&lt;br /&gt;
at UM v8.4, section 2 item 405 is not available from the UMUI.  In this task we will therefore request&lt;br /&gt;
instead the clear-sky TOA outgoing SW and LW radiative forcing diagnostics (section 1 item 409 and&lt;br /&gt;
section 2 item 406).  Note also that one needs to request both the radiation flux and radiation forcing&lt;br /&gt;
diagnostic in these runs so you should add 4 daily-mean STASH requests for section 1 items 209 and 409&lt;br /&gt;
and section 2 items 206 and 406.&lt;br /&gt;
&lt;br /&gt;
Go to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add the daily-mean (TDAYM)&lt;br /&gt;
requests for both of these flux-forcing pairs of diagnostics. As in Task 10.1, the domain profile&lt;br /&gt;
should be set as DIAG and the usage profile as UPA.&lt;br /&gt;
&lt;br /&gt;
Since we have now configured the model to run with GLOMAP aerosol set to zero in the advancing call,&lt;br /&gt;
the conventional AOD diagnostics introduced in tutorial 10 (section 2 items 300 to 305) will now&lt;br /&gt;
contain zero values when the model is run.&lt;br /&gt;
&lt;br /&gt;
The UM therefore has a second set of AOD diagnostics giving the aerosol optical depth as calculated&lt;br /&gt;
in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The approach for the double-call AOD diagnostics is the same as for the forcing diags, i.e. to&lt;br /&gt;
apply an offset of +200 to the item number to find the corresponding AOD item in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The double-call GLOMAP AOD diagnostics are therefore found in section 2 items 500 to 505.&lt;br /&gt;
&lt;br /&gt;
At v8.4 it is necessary to add an extra user-STASHmaster file to enable these STASH items to be&lt;br /&gt;
requested in the job. In the &#039;&#039;User-STASHmaster files. Diags, Progs &amp;amp; Ancils&#039;&#039; window off the&lt;br /&gt;
STASH panel you need to add in the following file&lt;br /&gt;
&lt;br /&gt;
  ~gmann/stashfiles/dblecall_aods_only.stash&lt;br /&gt;
&lt;br /&gt;
You will also need to add the hand-edit&lt;br /&gt;
&lt;br /&gt;
 ~gmann/umui_jobs/hand_edits/vn8.4_nosulphateAOD.ed&lt;br /&gt;
&lt;br /&gt;
which removes the CLASSIC sulphate AOD as it causes a crash in the double-call forcing configuration.&lt;br /&gt;
You should also remove this STASH number (2-284) as well as the mineral dust optical depth (2-285)&lt;br /&gt;
from the STASH requests panel. This causes a crash on ARCHER, but not on MONSooN.&lt;br /&gt;
&lt;br /&gt;
If you view that file you see that as well as providing the STASH settings for the GLOMAP&lt;br /&gt;
double-call AOD diagnostics for each mode, it also provides the information to the UMUI to allow&lt;br /&gt;
double-call AOD diagnostics to be requested for each of the CLASSIC aerosol types.&lt;br /&gt;
&lt;br /&gt;
Once you have have added the &#039;&#039;dblecall_aods_only.stash&#039;&#039; user-STASHmaster file you should proceed&lt;br /&gt;
to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add daily-mean (TDAYM)&lt;br /&gt;
requests for the double-call GLOMAP AODs (section 2 items 500 to 505) with usage profile UPA&lt;br /&gt;
and domain profile DIAG_AOT.&lt;br /&gt;
&lt;br /&gt;
The simulation will then output daily-mean SW and LW clear-sky forcings and double-call AOD&lt;br /&gt;
diagnostics to the .pa file for your UM-UKCA job.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows daily-mean TOA SW-clearsky and LW-clearsky radiative effect fields for&lt;br /&gt;
the double-call-modified version of the UKCA tutorial (gmann job xkwhi).&lt;br /&gt;
&lt;br /&gt;
[[File:idl_dailyTOAradforcings_SWclearsky_LWclearsky_xkwhi.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Worked Solution===&lt;br /&gt;
&lt;br /&gt;
A worked solution to Task 12.2 can be found in job &amp;lt;code&amp;gt;&#039;&#039;&#039;xjrnn&#039;&#039;&#039;&amp;lt;/code&amp;gt;.&lt;br /&gt;
Sample output from a copy of this job can be found on ARCHER in the directory&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Written by [[User:Gmann | Graham Mann]] 2016&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5729</id>
		<title>UKCA Chemistry and Aerosol vn10.4 Tutorial 12</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5729"/>
		<updated>2017-01-06T09:57:35Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* Task 12.2 Configure the UKCA tutorial job to run as a double-call job diagnosing aerosol radiative effects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[UKCA Chemistry and Aerosol Tutorials at vn10.4]]&lt;br /&gt;
&lt;br /&gt;
==What you will learn in this Tutorial==&lt;br /&gt;
&lt;br /&gt;
In this tutorial you will learn about how to quantify the radiative effects of aerosol&lt;br /&gt;
simulated by GLOMAP-mode in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
In the first task you will update your copy of the UKCA tutorial job to request radiative&lt;br /&gt;
fluxes allowing the radiative flux perturbation (or effective radiative forcing) to be&lt;br /&gt;
diagnosed based on difference in the fluxes between a pair of UM-UKCA jobs with some&lt;br /&gt;
difference (e.g. pre-industrial and present-day emissions jobs).&lt;br /&gt;
&lt;br /&gt;
The second task involves configuring a copy of the UKCA tutorial job to run in&lt;br /&gt;
&#039;&#039;double-call configuration&#039;&#039; whereby the aerosol radiative effects can be diagnosed&lt;br /&gt;
at each radiation timestep.&lt;br /&gt;
&lt;br /&gt;
==Task 12.1: Update your copy of the UKCA tutorial job to diagnose Top Of the Atmosphere (TOA) radiative fluxes==&lt;br /&gt;
&lt;br /&gt;
In this task you will add STASH requests for SW and LW outgoing radiative fluxes at&lt;br /&gt;
the top of the atmosphere to enable the radiative forcing from a particular change to be diagnosed.&lt;br /&gt;
&lt;br /&gt;
The user should note however that to illustrate the task we are adding these requests to&lt;br /&gt;
the UKCA tutorial job which is just a 1-day simulation.&lt;br /&gt;
&lt;br /&gt;
One would need to average the flux-difference between the pair of simulations over an&lt;br /&gt;
appropriate timescale (e.g. multi-annual monthly-means) in order to diagnose an&lt;br /&gt;
effective radiative forcing appropriately.&lt;br /&gt;
&lt;br /&gt;
Noting the above caveat, proceed and add daily-mean STASH requests for section 1 item 208&lt;br /&gt;
(all-sky outgoing short wave flux at the top-of-the-atmosphere) and section 2 item 205&lt;br /&gt;
(all-sky outgoing long wave flux at the top-of-the-atmosphere) to the updated copy of the     &lt;br /&gt;
UKCA tutorial suite you produced in Task 10 after adding AOD and OM diags (the&lt;br /&gt;
reference job for this is u-ai830).&lt;br /&gt;
&lt;br /&gt;
The radiative fluxes are 2-dimensional diagnostics (longitude by latitude) so you should&lt;br /&gt;
use the DIAG domain profile in this case. For daily-means use the TDAYM time profile.&lt;br /&gt;
Again, since we require the daily-mean fluxes to be output to the .pa file you should&lt;br /&gt;
request the diagnostics with the UPK usage profile.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows the daily-mean SW and LW all-sky TOA radiative flux &lt;br /&gt;
fields from the UKCA tutorial job for 1st September 1999 (produced by&lt;br /&gt;
gmann job u-ai902, which updated from u-ai830 by adding in the requests).&lt;br /&gt;
&lt;br /&gt;
[[File:ai902_SWandLWallskyTOAfluxes.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Example Output===&lt;br /&gt;
&lt;br /&gt;
Example output for Task12.1 can be found on ARCHER in the following directory:&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.1&lt;br /&gt;
&lt;br /&gt;
==Task 12.2 Configure the UKCA tutorial job to run as a &#039;&#039;double-call&#039;&#039; job diagnosing aerosol radiative effects==&lt;br /&gt;
&lt;br /&gt;
In this task you will copy the copy of the standard tutorial job you used in Task 12.1&lt;br /&gt;
(&amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai902&#039;&#039;&#039;&amp;lt;/code&amp;gt;)&lt;br /&gt;
and configure it to run with &#039;&#039;double-call&#039;&#039; to the radiation scheme to diagnose the radiative&lt;br /&gt;
effects of the aerosol simulated by GLOMAP in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
The UM has been coded to allow the user to diagnose radiative effects of a particular&lt;br /&gt;
forcing agent by calling the radiation scheme twice with one of the calls setting the&lt;br /&gt;
agent&#039;s concentration to zero. Special &#039;&#039;forcing&#039;&#039; STASH items are included within the&lt;br /&gt;
UM which store the difference in the radiative fluxes between the two radiation calls.&lt;br /&gt;
&lt;br /&gt;
In the um &#039;&#039;app&#039;&#039; in the Rose GUI go to namelist --&amp;gt; UM Science Settings&lt;br /&gt;
and then choose &#039;&#039;Section 1 - 2: Radiation&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
In the &#039;&#039;General Options&#039;&#039; panel, you see that at the top there is an&lt;br /&gt;
&#039;&#039;i_rad_extra_call&#039;&#039; &amp;quot;Options for multiple calls to radiation&amp;quot; button-selector.&lt;br /&gt;
&lt;br /&gt;
The UKCA tutorial job is set to &amp;quot;Single call&amp;quot; which is the standard way of running the UM&lt;br /&gt;
with a single call to the radiation scheme every radiation timestep (here one hour).&lt;br /&gt;
You see there is a 2nd option there to select &amp;quot;Diagnose radiative forcings&amp;quot;.&lt;br /&gt;
Selecting this option activates the &#039;&#039;double-call&#039;&#039; approach where the radiation scheme&lt;br /&gt;
is called twice on each radiation timestep once with the forcing agent and&lt;br /&gt;
once without it.&lt;br /&gt;
&lt;br /&gt;
With this option, the idea is that the user can then isolate the difference in&lt;br /&gt;
the radiative fluxes (i.e. the forcing) due to a particular forcing agent of&lt;br /&gt;
interest. There are a host of additional settings that become available when&lt;br /&gt;
you select this option setting exactly which forcings to isolate via the&lt;br /&gt;
difference between the main call and the 2nd call.&lt;br /&gt;
&lt;br /&gt;
The default approach, for this &#039;&#039;Diagnose radiative forcings&#039;&#039; option, involves&lt;br /&gt;
the model diagnosing the radiative forcing based on the flux-difference being&lt;br /&gt;
between the &#039;&#039;advancing call&#039;&#039; including the radiative effects of the forcing&lt;br /&gt;
agent (as usual), and the 2nd &#039;&#039;diagnostic call&#039;&#039; to the radiation setting&lt;br /&gt;
that specifies concentration to zero (or not including its effects in the&lt;br /&gt;
radiative transfer calculations).&lt;br /&gt;
&lt;br /&gt;
These additional settings for the diagnostic call are set in three of the&lt;br /&gt;
sub-panels of this &#039;&#039;Section 1 - 2: Radiation&#039;&#039; part of the Rose GUI.&lt;br /&gt;
First it can be seen that there are &amp;quot;SW second call&amp;quot; and &amp;quot;LW second call&amp;quot;&lt;br /&gt;
panels that become active.  There is also a separate &#039;&#039;Diagnostic forcing&#039;&#039;&lt;br /&gt;
panel for setting the precise arrangement for this second call to the&lt;br /&gt;
radiation. In this separate panel it is possible to individually (or multiply)&lt;br /&gt;
select the CLASSIC aerosol types to diagnose their radiative effects.&lt;br /&gt;
For GLOMAP-mode it&#039;s different in that it only makes sense to diagnose the&lt;br /&gt;
effects over all the types considered since the different types are internally&lt;br /&gt;
mixed within each size class.  The user will likely only want to run these&lt;br /&gt;
effects when the settings in the second radiation call match exactly with&lt;br /&gt;
those in the first radiation call (so that the difference then indicates&lt;br /&gt;
the forcing due to the forcing agent of interest rather than any difference&lt;br /&gt;
in settings. If particular experiments as planned, as usual it is recommended&lt;br /&gt;
to discuss with the relevant expert(s) within NCAS or the Met Office.&lt;br /&gt;
&lt;br /&gt;
As explained above, the default UM setting for the double-call is to set&lt;br /&gt;
the species mixing ratio to zero in the diagnostic call with the&lt;br /&gt;
difference then including any fast feedbacks from the forcing agent&lt;br /&gt;
in the advancing call. However, it is often very useful to be able to&lt;br /&gt;
suppress the fast feedbacks from the forcing agent in question by&lt;br /&gt;
reversing the operation of the double-call including the aerosol&lt;br /&gt;
radiative effects only in the diagnostic call&lt;br /&gt;
and setting the species mixing ratio to zero in the advancing call.&lt;br /&gt;
&lt;br /&gt;
With this &#039;&#039;diagnostic double-call radiative forcing&#039;&#039; configuration,&lt;br /&gt;
the difference in radiative fluxes between the two calls then&lt;br /&gt;
provides the aerosol radiative perturbation with respect to an&lt;br /&gt;
atmosphere containing no aerosols.&lt;br /&gt;
One can diagnose the present-day to pre-industrial aerosol radiative forcing by taking the difference between&lt;br /&gt;
two parallel double-call simulations with aerosol and precursor emissions set to 1850 and 2000.&lt;br /&gt;
All other forcing agents, such as greenhouse gases or land-use change, remain fixed at a reference time period.&lt;br /&gt;
&lt;br /&gt;
Often nudging to meteorological re-analysis winds and temperatures is applied in tandem with the double-call configuration&lt;br /&gt;
in which case the composition-climate model is being run in a similar way to an offline chemistry-transport model.&lt;br /&gt;
This approach has been used extensively in aerosol forcing intercomparisons (e.g. the AeroCom direct forcing&lt;br /&gt;
experiments, Myhre et al., 2013, ACP) with the radiative forcings diagnosed from each model with fast feedbacks&lt;br /&gt;
disabled.&lt;br /&gt;
&lt;br /&gt;
Unfortunately, this &#039;&#039;diagnostic double-call&#039;&#039; configuration is not one of&lt;br /&gt;
the supported configurations of the v10.4 release job. As a consequence,&lt;br /&gt;
to run UM-UKCA with this configuration, you will need to add an&lt;br /&gt;
extra FCM branch to the job and also modify the metadata in the&lt;br /&gt;
the Rose GUI to enable the option to run configured in this way.&lt;br /&gt;
&lt;br /&gt;
First add the branch. In the fcm_make_um &#039;&#039;app&#039;&#039; go to &#039;&#039;env&#039;&#039; and&lt;br /&gt;
then &#039;&#039;Sources&#039;&#039;.  There you should add an extra entry to add-in the&lt;br /&gt;
code-changes from revision 32385 of the following FCM branch:&lt;br /&gt;
&lt;br /&gt;
branches/dev/grahammann/vn10.4_updates_for_dblcalaerforc@32385&lt;br /&gt;
&lt;br /&gt;
The code added in that branch applies a new switch C2C_AER_DIAGCAL&lt;br /&gt;
which controls whether the setting of the forcing agent to zero is&lt;br /&gt;
applied on the advancing call (C2C_AER_DIAGCAL will be .TRUE.&lt;br /&gt;
because the GLOMAP aerosol is included only in the diagnostic call).&lt;br /&gt;
To retain the standard operation of the double-call where the aerosol&lt;br /&gt;
is included in the advancing call but set to zero in the diagnostic&lt;br /&gt;
call, the C2C_AER_DIAGCAL needs to be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
We need to use new metadata to enable this switch -- and also to&lt;br /&gt;
add in a new switch C2C_UKCA_I which controls whether the GLOMAP&lt;br /&gt;
indirect effects are included in the diagnostic call or not.&lt;br /&gt;
&lt;br /&gt;
Just like in the last task, this requires to point the Rose GUI&lt;br /&gt;
to a new rose-meta.conf file within a separate directory outside&lt;br /&gt;
the FCM branch.&lt;br /&gt;
&lt;br /&gt;
In the Rose GUI click on the &#039;&#039;um&#039;&#039; word and you&#039;ll see that&lt;br /&gt;
there is already a separate metadata file specified in that&lt;br /&gt;
job which is set to point to:&lt;br /&gt;
&lt;br /&gt;
/home/grenville/meta/ga7_vn10.4&lt;br /&gt;
&lt;br /&gt;
I have prepared a modified version of this that enables the extra&lt;br /&gt;
C2C_AER_DIAGCAL and C2C_UKCA_I switches to be selected in the Rose GUI.&lt;br /&gt;
So change the file path to instead point to this one:&lt;br /&gt;
&lt;br /&gt;
/home/gmann/meta/ga7_vn10.4_dblcalaerforc&lt;br /&gt;
&lt;br /&gt;
After you have done this, there will be 2 additional buttons&lt;br /&gt;
available in the &#039;&#039;Diagnostic forcing&#039;&#039; panel to allow the user&lt;br /&gt;
to select the C2C_AER_DIAGCAL and C2C_UKCA_I switches.&lt;br /&gt;
&lt;br /&gt;
We want to use this diagnostic call configuration and we want to&lt;br /&gt;
have the forcing be including both the direct and indirect effects&lt;br /&gt;
from the GLOMAP aerosol -- so set C2C_UKCA_D and C2C_UKCA_I to&lt;br /&gt;
be .TRUE.  You should also set the C2C_DUST_D switch to be true&lt;br /&gt;
so that the model is then calculating the overall aerosol&lt;br /&gt;
radiative effects (including both aerosol direct and indirect&lt;br /&gt;
effects with the aerosol consisting of the total of the 6 CLASSIC&lt;br /&gt;
dust bins plus the GLOMAP aerosol modes).  All the other C2C&lt;br /&gt;
switches in that panel should be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
You will also need to update your job to make sure all the settings&lt;br /&gt;
are identical between the diagnostic call and prognostic call&lt;br /&gt;
(in terms of the methods for specifying the clouds and which&lt;br /&gt;
other forcing agents are included or not).&lt;br /&gt;
&lt;br /&gt;
UP TO HERE.&lt;br /&gt;
&lt;br /&gt;
All that remains then is to add in the extra STASH requests for the double-call forcing diagnostics and&lt;br /&gt;
to note a change to the operation of the Aerosol Optical Depth diagnostics.&lt;br /&gt;
&lt;br /&gt;
The approach taken to index the STASH numbers for the radiative forcing items (the flux-difference between&lt;br /&gt;
the two radiation calls) is to apply an offset of +200 to the item number to the corresponding item for&lt;br /&gt;
the conventional radiative fluxes.&lt;br /&gt;
&lt;br /&gt;
In task 12.1 we added STASH requests for the all-sky TOA outgoing SW and LW radiative fluxes which are&lt;br /&gt;
referenced in STASH as section 1 item 208 and section 2 item 205.&lt;br /&gt;
&lt;br /&gt;
To request the all-sky TOA outgoing SW and LW radiative forcings (between the two radiation calls) the&lt;br /&gt;
corresponding item numbers are section 1 item 408 and section 2 item 405.  Unfortunately however,&lt;br /&gt;
at UM v8.4, section 2 item 405 is not available from the UMUI.  In this task we will therefore request&lt;br /&gt;
instead the clear-sky TOA outgoing SW and LW radiative forcing diagnostics (section 1 item 409 and&lt;br /&gt;
section 2 item 406).  Note also that one needs to request both the radiation flux and radiation forcing&lt;br /&gt;
diagnostic in these runs so you should add 4 daily-mean STASH requests for section 1 items 209 and 409&lt;br /&gt;
and section 2 items 206 and 406.&lt;br /&gt;
&lt;br /&gt;
Go to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add the daily-mean (TDAYM)&lt;br /&gt;
requests for both of these flux-forcing pairs of diagnostics. As in Task 10.1, the domain profile&lt;br /&gt;
should be set as DIAG and the usage profile as UPA.&lt;br /&gt;
&lt;br /&gt;
Since we have now configured the model to run with GLOMAP aerosol set to zero in the advancing call,&lt;br /&gt;
the conventional AOD diagnostics introduced in tutorial 10 (section 2 items 300 to 305) will now&lt;br /&gt;
contain zero values when the model is run.&lt;br /&gt;
&lt;br /&gt;
The UM therefore has a second set of AOD diagnostics giving the aerosol optical depth as calculated&lt;br /&gt;
in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The approach for the double-call AOD diagnostics is the same as for the forcing diags, i.e. to&lt;br /&gt;
apply an offset of +200 to the item number to find the corresponding AOD item in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The double-call GLOMAP AOD diagnostics are therefore found in section 2 items 500 to 505.&lt;br /&gt;
&lt;br /&gt;
At v8.4 it is necessary to add an extra user-STASHmaster file to enable these STASH items to be&lt;br /&gt;
requested in the job. In the &#039;&#039;User-STASHmaster files. Diags, Progs &amp;amp; Ancils&#039;&#039; window off the&lt;br /&gt;
STASH panel you need to add in the following file&lt;br /&gt;
&lt;br /&gt;
  ~gmann/stashfiles/dblecall_aods_only.stash&lt;br /&gt;
&lt;br /&gt;
You will also need to add the hand-edit&lt;br /&gt;
&lt;br /&gt;
 ~gmann/umui_jobs/hand_edits/vn8.4_nosulphateAOD.ed&lt;br /&gt;
&lt;br /&gt;
which removes the CLASSIC sulphate AOD as it causes a crash in the double-call forcing configuration.&lt;br /&gt;
You should also remove this STASH number (2-284) as well as the mineral dust optical depth (2-285)&lt;br /&gt;
from the STASH requests panel. This causes a crash on ARCHER, but not on MONSooN.&lt;br /&gt;
&lt;br /&gt;
If you view that file you see that as well as providing the STASH settings for the GLOMAP&lt;br /&gt;
double-call AOD diagnostics for each mode, it also provides the information to the UMUI to allow&lt;br /&gt;
double-call AOD diagnostics to be requested for each of the CLASSIC aerosol types.&lt;br /&gt;
&lt;br /&gt;
Once you have have added the &#039;&#039;dblecall_aods_only.stash&#039;&#039; user-STASHmaster file you should proceed&lt;br /&gt;
to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add daily-mean (TDAYM)&lt;br /&gt;
requests for the double-call GLOMAP AODs (section 2 items 500 to 505) with usage profile UPA&lt;br /&gt;
and domain profile DIAG_AOT.&lt;br /&gt;
&lt;br /&gt;
The simulation will then output daily-mean SW and LW clear-sky forcings and double-call AOD&lt;br /&gt;
diagnostics to the .pa file for your UM-UKCA job.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows daily-mean TOA SW-clearsky and LW-clearsky radiative effect fields for&lt;br /&gt;
the double-call-modified version of the UKCA tutorial (gmann job xkwhi).&lt;br /&gt;
&lt;br /&gt;
[[File:idl_dailyTOAradforcings_SWclearsky_LWclearsky_xkwhi.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Worked Solution===&lt;br /&gt;
&lt;br /&gt;
A worked solution to Task 12.2 can be found in job &amp;lt;code&amp;gt;&#039;&#039;&#039;xjrnn&#039;&#039;&#039;&amp;lt;/code&amp;gt;.&lt;br /&gt;
Sample output from a copy of this job can be found on ARCHER in the directory&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Written by [[User:Gmann | Graham Mann]] 2016&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5728</id>
		<title>UKCA Chemistry and Aerosol vn10.4 Tutorial 12</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5728"/>
		<updated>2017-01-06T09:55:10Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* Task 12.2 Configure the UKCA tutorial job to run as a double-call job diagnosing aerosol radiative effects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[UKCA Chemistry and Aerosol Tutorials at vn10.4]]&lt;br /&gt;
&lt;br /&gt;
==What you will learn in this Tutorial==&lt;br /&gt;
&lt;br /&gt;
In this tutorial you will learn about how to quantify the radiative effects of aerosol&lt;br /&gt;
simulated by GLOMAP-mode in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
In the first task you will update your copy of the UKCA tutorial job to request radiative&lt;br /&gt;
fluxes allowing the radiative flux perturbation (or effective radiative forcing) to be&lt;br /&gt;
diagnosed based on difference in the fluxes between a pair of UM-UKCA jobs with some&lt;br /&gt;
difference (e.g. pre-industrial and present-day emissions jobs).&lt;br /&gt;
&lt;br /&gt;
The second task involves configuring a copy of the UKCA tutorial job to run in&lt;br /&gt;
&#039;&#039;double-call configuration&#039;&#039; whereby the aerosol radiative effects can be diagnosed&lt;br /&gt;
at each radiation timestep.&lt;br /&gt;
&lt;br /&gt;
==Task 12.1: Update your copy of the UKCA tutorial job to diagnose Top Of the Atmosphere (TOA) radiative fluxes==&lt;br /&gt;
&lt;br /&gt;
In this task you will add STASH requests for SW and LW outgoing radiative fluxes at&lt;br /&gt;
the top of the atmosphere to enable the radiative forcing from a particular change to be diagnosed.&lt;br /&gt;
&lt;br /&gt;
The user should note however that to illustrate the task we are adding these requests to&lt;br /&gt;
the UKCA tutorial job which is just a 1-day simulation.&lt;br /&gt;
&lt;br /&gt;
One would need to average the flux-difference between the pair of simulations over an&lt;br /&gt;
appropriate timescale (e.g. multi-annual monthly-means) in order to diagnose an&lt;br /&gt;
effective radiative forcing appropriately.&lt;br /&gt;
&lt;br /&gt;
Noting the above caveat, proceed and add daily-mean STASH requests for section 1 item 208&lt;br /&gt;
(all-sky outgoing short wave flux at the top-of-the-atmosphere) and section 2 item 205&lt;br /&gt;
(all-sky outgoing long wave flux at the top-of-the-atmosphere) to the updated copy of the     &lt;br /&gt;
UKCA tutorial suite you produced in Task 10 after adding AOD and OM diags (the&lt;br /&gt;
reference job for this is u-ai830).&lt;br /&gt;
&lt;br /&gt;
The radiative fluxes are 2-dimensional diagnostics (longitude by latitude) so you should&lt;br /&gt;
use the DIAG domain profile in this case. For daily-means use the TDAYM time profile.&lt;br /&gt;
Again, since we require the daily-mean fluxes to be output to the .pa file you should&lt;br /&gt;
request the diagnostics with the UPK usage profile.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows the daily-mean SW and LW all-sky TOA radiative flux &lt;br /&gt;
fields from the UKCA tutorial job for 1st September 1999 (produced by&lt;br /&gt;
gmann job u-ai902, which updated from u-ai830 by adding in the requests).&lt;br /&gt;
&lt;br /&gt;
[[File:ai902_SWandLWallskyTOAfluxes.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Example Output===&lt;br /&gt;
&lt;br /&gt;
Example output for Task12.1 can be found on ARCHER in the following directory:&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.1&lt;br /&gt;
&lt;br /&gt;
==Task 12.2 Configure the UKCA tutorial job to run as a &#039;&#039;double-call&#039;&#039; job diagnosing aerosol radiative effects==&lt;br /&gt;
&lt;br /&gt;
In this task you will copy the copy of the standard tutorial job you used in Task 12.1&lt;br /&gt;
(&amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai902&#039;&#039;&#039;&amp;lt;/code&amp;gt;)&lt;br /&gt;
and configure it to run with &#039;&#039;double-call&#039;&#039; to the radiation scheme to diagnose the radiative&lt;br /&gt;
effects of the aerosol simulated by GLOMAP in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
The UM has been coded to allow the user to diagnose radiative effects of a particular&lt;br /&gt;
forcing agent by calling the radiation scheme twice with one of the calls setting the&lt;br /&gt;
agent&#039;s concentration to zero. Special &#039;&#039;forcing&#039;&#039; STASH items are included within the&lt;br /&gt;
UM which store the difference in the radiative fluxes between the two radiation calls.&lt;br /&gt;
&lt;br /&gt;
In the um &#039;&#039;app&#039;&#039; in the Rose GUI go to namelist --&amp;gt; UM Science Settings&lt;br /&gt;
and then choose &#039;&#039;Section 1 - 2: Radiation&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
In the &#039;&#039;General Options&#039;&#039; panel, you see that at the top there is an&lt;br /&gt;
&#039;&#039;i_rad_extra_call&#039;&#039; &amp;quot;Options for multiple calls to radiation&amp;quot; button-selector.&lt;br /&gt;
&lt;br /&gt;
The UKCA tutorial job is set to &amp;quot;Single call&amp;quot; which is the standard way of running the UM&lt;br /&gt;
with a single call to the radiation scheme every radiation timestep (here one hour).&lt;br /&gt;
You see there is a 2nd option there to select &amp;quot;Diagnose radiative forcings&amp;quot;.&lt;br /&gt;
Selecting this option activates the &#039;&#039;double-call&#039;&#039; approach where the radiation scheme&lt;br /&gt;
is called twice on each radiation timestep once with the forcing agent and&lt;br /&gt;
once without it.&lt;br /&gt;
&lt;br /&gt;
With this option, the idea is that the user can then isolate the difference in&lt;br /&gt;
the radiative fluxes (i.e. the forcing) due to a particular forcing agent of&lt;br /&gt;
interest. There are a host of additional settings that become available when&lt;br /&gt;
you select this option setting exactly which forcings to isolate via the&lt;br /&gt;
difference between the main call and the 2nd call.&lt;br /&gt;
&lt;br /&gt;
The default approach for this &#039;&#039;Diagnose radiative forcings&#039;&#039; option, involves&lt;br /&gt;
the model diagnosing the radiative forcing based on the flux-difference being&lt;br /&gt;
between the &#039;&#039;advancing call&#039;&#039; including the radiative effects of the forcing&lt;br /&gt;
agent (as usual), and the 2nd &#039;&#039;diagnostic call&#039;&#039; to the radiation setting&lt;br /&gt;
that species concentration to zero (or not including its effects in the&lt;br /&gt;
radiative transfer calculations).&lt;br /&gt;
&lt;br /&gt;
These additional settings for the diagnostic call are set in three of the&lt;br /&gt;
sub-panels of this &#039;&#039;Section 1 - 2: Radiation&#039;&#039; part of the Rose GUI.&lt;br /&gt;
First it can be seen that there are &amp;quot;SW second call&amp;quot; and &amp;quot;LW second call&amp;quot;&lt;br /&gt;
panels that become active.  There is also a separate &#039;&#039;Diagnostic forcing&#039;&#039;&lt;br /&gt;
panel for setting the precise arrangement for this second call to the&lt;br /&gt;
radiation. In this separate panel it is possible to individually (or multiply)&lt;br /&gt;
select the CLASSIC aerosol types to diagnose their radiative effects.&lt;br /&gt;
For GLOMAP-mode it&#039;s different in that it only makes sense to diagnose the&lt;br /&gt;
effects over all the types considered since the different types are internally&lt;br /&gt;
mixed within each size class.  The user will likely only want to run these&lt;br /&gt;
effects when the settings in the second radiation call match exactly with&lt;br /&gt;
those in the first radiation call (so that the difference then indicates&lt;br /&gt;
the forcing due to the forcing agent of interest rather than any difference&lt;br /&gt;
in settings. If particular experiments as planned, as usual it is recommended&lt;br /&gt;
to discuss with the relevant expert(s) within NCAS or the Met Office.&lt;br /&gt;
&lt;br /&gt;
As explained above, the default UM setting for the double-call is to set&lt;br /&gt;
the species mixing ratio to zero in the diagnostic call with the&lt;br /&gt;
difference then including any fast feedbacks from the forcing agent&lt;br /&gt;
in the advancing call. However, it is often very useful to be able to&lt;br /&gt;
suppress the fast feedbacks from the forcing agent in question by&lt;br /&gt;
reversing the operation of the double-call including the aerosol&lt;br /&gt;
radiative effects only in the diagnostic call&lt;br /&gt;
and setting the species mixing ratio to zero in the advancing call.&lt;br /&gt;
&lt;br /&gt;
With this &#039;&#039;diagnostic double-call radiative forcing&#039;&#039; configuration,&lt;br /&gt;
the difference in radiative fluxes between the two calls then&lt;br /&gt;
provides the aerosol radiative perturbation with respect to an&lt;br /&gt;
atmosphere containing no aerosols.&lt;br /&gt;
One can diagnose the present-day to pre-industrial aerosol radiative forcing by taking the difference between&lt;br /&gt;
two parallel double-call simulations with aerosol and precursor emissions set to 1850 and 2000.&lt;br /&gt;
All other forcing agents, such as greenhouse gases or land-use change, remain fixed at a reference time period.&lt;br /&gt;
&lt;br /&gt;
Often nudging to meteorological re-analysis winds and temperatures is applied in tandem with the double-call configuration&lt;br /&gt;
in which case the composition-climate model is being run in a similar way to an offline chemistry-transport model.&lt;br /&gt;
This approach has been used extensively in aerosol forcing intercomparisons (e.g. the AeroCom direct forcing&lt;br /&gt;
experiments, Myhre et al., 2013, ACP) with the radiative forcings diagnosed from each model with fast feedbacks&lt;br /&gt;
disabled.&lt;br /&gt;
&lt;br /&gt;
Unfortunately, this &#039;&#039;diagnostic double-call&#039;&#039; configuration is not one of&lt;br /&gt;
the supported configurations of the v10.4 release job. As a consequence,&lt;br /&gt;
to run UM-UKCA with this configuration, you will need to add an&lt;br /&gt;
extra FCM branch to the job and also modify the metadata in the&lt;br /&gt;
the Rose GUI to enable the option to run configured in this way.&lt;br /&gt;
&lt;br /&gt;
First add the branch. In the fcm_make_um &#039;&#039;app&#039;&#039; go to &#039;&#039;env&#039;&#039; and&lt;br /&gt;
then &#039;&#039;Sources&#039;&#039;.  There you should add an extra entry to add-in the&lt;br /&gt;
code-changes from revision 32385 of the following FCM branch:&lt;br /&gt;
&lt;br /&gt;
branches/dev/grahammann/vn10.4_updates_for_dblcalaerforc@32385&lt;br /&gt;
&lt;br /&gt;
The code added in that branch applies a new switch C2C_AER_DIAGCAL&lt;br /&gt;
which controls whether the setting of the forcing agent to zero is&lt;br /&gt;
applied on the advancing call (C2C_AER_DIAGCAL will be .TRUE.&lt;br /&gt;
because the GLOMAP aerosol is included only in the diagnostic call).&lt;br /&gt;
To retain the standard operation of the double-call where the aerosol&lt;br /&gt;
is included in the advancing call but set to zero in the diagnostic&lt;br /&gt;
call, the C2C_AER_DIAGCAL needs to be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
We need to use new metadata to enable this switch -- and also to&lt;br /&gt;
add in a new switch C2C_UKCA_I which controls whether the GLOMAP&lt;br /&gt;
indirect effects are included in the diagnostic call or not.&lt;br /&gt;
&lt;br /&gt;
Just like in the last task, this requires to point the Rose GUI&lt;br /&gt;
to a new rose-meta.conf file within a separate directory outside&lt;br /&gt;
the FCM branch.&lt;br /&gt;
&lt;br /&gt;
In the Rose GUI click on the &#039;&#039;um&#039;&#039; word and you&#039;ll see that&lt;br /&gt;
there is already a separate metadata file specified in that&lt;br /&gt;
job which is set to point to:&lt;br /&gt;
&lt;br /&gt;
/home/grenville/meta/ga7_vn10.4&lt;br /&gt;
&lt;br /&gt;
I have prepared a modified version of this that enables the extra&lt;br /&gt;
C2C_AER_DIAGCAL and C2C_UKCA_I switches to be selected in the Rose GUI.&lt;br /&gt;
So change the file path to instead point to this one:&lt;br /&gt;
&lt;br /&gt;
/home/gmann/meta/ga7_vn10.4_dblcalaerforc&lt;br /&gt;
&lt;br /&gt;
After you have done this, there will be 2 additional buttons&lt;br /&gt;
available in the &#039;&#039;Diagnostic forcing&#039;&#039; panel to allow the user&lt;br /&gt;
to select the C2C_AER_DIAGCAL and C2C_UKCA_I switches.&lt;br /&gt;
&lt;br /&gt;
We want to use this diagnostic call configuration and we want to&lt;br /&gt;
have the forcing be including both the direct and indirect effects&lt;br /&gt;
from the GLOMAP aerosol -- so set C2C_UKCA_D and C2C_UKCA_I to&lt;br /&gt;
be .TRUE.  You should also set the C2C_DUST_D switch to be true&lt;br /&gt;
so that the model is then calculating the overall aerosol&lt;br /&gt;
radiative effects (including both aerosol direct and indirect&lt;br /&gt;
effects with the aerosol consisting of the total of the 6 CLASSIC&lt;br /&gt;
dust bins plus the GLOMAP aerosol modes).  All the other C2C&lt;br /&gt;
switches in that panel should be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
You will also need to update your job to make sure all the settings&lt;br /&gt;
are identical between the diagnostic call and prognostic call&lt;br /&gt;
(in terms of the methods for specifying the clouds and which&lt;br /&gt;
other forcing agents are included or not).&lt;br /&gt;
&lt;br /&gt;
UP TO HERE.&lt;br /&gt;
&lt;br /&gt;
All that remains then is to add in the extra STASH requests for the double-call forcing diagnostics and&lt;br /&gt;
to note a change to the operation of the Aerosol Optical Depth diagnostics.&lt;br /&gt;
&lt;br /&gt;
The approach taken to index the STASH numbers for the radiative forcing items (the flux-difference between&lt;br /&gt;
the two radiation calls) is to apply an offset of +200 to the item number to the corresponding item for&lt;br /&gt;
the conventional radiative fluxes.&lt;br /&gt;
&lt;br /&gt;
In task 12.1 we added STASH requests for the all-sky TOA outgoing SW and LW radiative fluxes which are&lt;br /&gt;
referenced in STASH as section 1 item 208 and section 2 item 205.&lt;br /&gt;
&lt;br /&gt;
To request the all-sky TOA outgoing SW and LW radiative forcings (between the two radiation calls) the&lt;br /&gt;
corresponding item numbers are section 1 item 408 and section 2 item 405.  Unfortunately however,&lt;br /&gt;
at UM v8.4, section 2 item 405 is not available from the UMUI.  In this task we will therefore request&lt;br /&gt;
instead the clear-sky TOA outgoing SW and LW radiative forcing diagnostics (section 1 item 409 and&lt;br /&gt;
section 2 item 406).  Note also that one needs to request both the radiation flux and radiation forcing&lt;br /&gt;
diagnostic in these runs so you should add 4 daily-mean STASH requests for section 1 items 209 and 409&lt;br /&gt;
and section 2 items 206 and 406.&lt;br /&gt;
&lt;br /&gt;
Go to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add the daily-mean (TDAYM)&lt;br /&gt;
requests for both of these flux-forcing pairs of diagnostics. As in Task 10.1, the domain profile&lt;br /&gt;
should be set as DIAG and the usage profile as UPA.&lt;br /&gt;
&lt;br /&gt;
Since we have now configured the model to run with GLOMAP aerosol set to zero in the advancing call,&lt;br /&gt;
the conventional AOD diagnostics introduced in tutorial 10 (section 2 items 300 to 305) will now&lt;br /&gt;
contain zero values when the model is run.&lt;br /&gt;
&lt;br /&gt;
The UM therefore has a second set of AOD diagnostics giving the aerosol optical depth as calculated&lt;br /&gt;
in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The approach for the double-call AOD diagnostics is the same as for the forcing diags, i.e. to&lt;br /&gt;
apply an offset of +200 to the item number to find the corresponding AOD item in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The double-call GLOMAP AOD diagnostics are therefore found in section 2 items 500 to 505.&lt;br /&gt;
&lt;br /&gt;
At v8.4 it is necessary to add an extra user-STASHmaster file to enable these STASH items to be&lt;br /&gt;
requested in the job. In the &#039;&#039;User-STASHmaster files. Diags, Progs &amp;amp; Ancils&#039;&#039; window off the&lt;br /&gt;
STASH panel you need to add in the following file&lt;br /&gt;
&lt;br /&gt;
  ~gmann/stashfiles/dblecall_aods_only.stash&lt;br /&gt;
&lt;br /&gt;
You will also need to add the hand-edit&lt;br /&gt;
&lt;br /&gt;
 ~gmann/umui_jobs/hand_edits/vn8.4_nosulphateAOD.ed&lt;br /&gt;
&lt;br /&gt;
which removes the CLASSIC sulphate AOD as it causes a crash in the double-call forcing configuration.&lt;br /&gt;
You should also remove this STASH number (2-284) as well as the mineral dust optical depth (2-285)&lt;br /&gt;
from the STASH requests panel. This causes a crash on ARCHER, but not on MONSooN.&lt;br /&gt;
&lt;br /&gt;
If you view that file you see that as well as providing the STASH settings for the GLOMAP&lt;br /&gt;
double-call AOD diagnostics for each mode, it also provides the information to the UMUI to allow&lt;br /&gt;
double-call AOD diagnostics to be requested for each of the CLASSIC aerosol types.&lt;br /&gt;
&lt;br /&gt;
Once you have have added the &#039;&#039;dblecall_aods_only.stash&#039;&#039; user-STASHmaster file you should proceed&lt;br /&gt;
to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add daily-mean (TDAYM)&lt;br /&gt;
requests for the double-call GLOMAP AODs (section 2 items 500 to 505) with usage profile UPA&lt;br /&gt;
and domain profile DIAG_AOT.&lt;br /&gt;
&lt;br /&gt;
The simulation will then output daily-mean SW and LW clear-sky forcings and double-call AOD&lt;br /&gt;
diagnostics to the .pa file for your UM-UKCA job.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows daily-mean TOA SW-clearsky and LW-clearsky radiative effect fields for&lt;br /&gt;
the double-call-modified version of the UKCA tutorial (gmann job xkwhi).&lt;br /&gt;
&lt;br /&gt;
[[File:idl_dailyTOAradforcings_SWclearsky_LWclearsky_xkwhi.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Worked Solution===&lt;br /&gt;
&lt;br /&gt;
A worked solution to Task 12.2 can be found in job &amp;lt;code&amp;gt;&#039;&#039;&#039;xjrnn&#039;&#039;&#039;&amp;lt;/code&amp;gt;.&lt;br /&gt;
Sample output from a copy of this job can be found on ARCHER in the directory&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Written by [[User:Gmann | Graham Mann]] 2016&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5727</id>
		<title>UKCA Chemistry and Aerosol vn10.4 Tutorial 12</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5727"/>
		<updated>2017-01-06T09:53:49Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* Task 12.2 Configure the UKCA tutorial job to run as a double-call job diagnosing aerosol radiative effects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[UKCA Chemistry and Aerosol Tutorials at vn10.4]]&lt;br /&gt;
&lt;br /&gt;
==What you will learn in this Tutorial==&lt;br /&gt;
&lt;br /&gt;
In this tutorial you will learn about how to quantify the radiative effects of aerosol&lt;br /&gt;
simulated by GLOMAP-mode in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
In the first task you will update your copy of the UKCA tutorial job to request radiative&lt;br /&gt;
fluxes allowing the radiative flux perturbation (or effective radiative forcing) to be&lt;br /&gt;
diagnosed based on difference in the fluxes between a pair of UM-UKCA jobs with some&lt;br /&gt;
difference (e.g. pre-industrial and present-day emissions jobs).&lt;br /&gt;
&lt;br /&gt;
The second task involves configuring a copy of the UKCA tutorial job to run in&lt;br /&gt;
&#039;&#039;double-call configuration&#039;&#039; whereby the aerosol radiative effects can be diagnosed&lt;br /&gt;
at each radiation timestep.&lt;br /&gt;
&lt;br /&gt;
==Task 12.1: Update your copy of the UKCA tutorial job to diagnose Top Of the Atmosphere (TOA) radiative fluxes==&lt;br /&gt;
&lt;br /&gt;
In this task you will add STASH requests for SW and LW outgoing radiative fluxes at&lt;br /&gt;
the top of the atmosphere to enable the radiative forcing from a particular change to be diagnosed.&lt;br /&gt;
&lt;br /&gt;
The user should note however that to illustrate the task we are adding these requests to&lt;br /&gt;
the UKCA tutorial job which is just a 1-day simulation.&lt;br /&gt;
&lt;br /&gt;
One would need to average the flux-difference between the pair of simulations over an&lt;br /&gt;
appropriate timescale (e.g. multi-annual monthly-means) in order to diagnose an&lt;br /&gt;
effective radiative forcing appropriately.&lt;br /&gt;
&lt;br /&gt;
Noting the above caveat, proceed and add daily-mean STASH requests for section 1 item 208&lt;br /&gt;
(all-sky outgoing short wave flux at the top-of-the-atmosphere) and section 2 item 205&lt;br /&gt;
(all-sky outgoing long wave flux at the top-of-the-atmosphere) to the updated copy of the     &lt;br /&gt;
UKCA tutorial suite you produced in Task 10 after adding AOD and OM diags (the&lt;br /&gt;
reference job for this is u-ai830).&lt;br /&gt;
&lt;br /&gt;
The radiative fluxes are 2-dimensional diagnostics (longitude by latitude) so you should&lt;br /&gt;
use the DIAG domain profile in this case. For daily-means use the TDAYM time profile.&lt;br /&gt;
Again, since we require the daily-mean fluxes to be output to the .pa file you should&lt;br /&gt;
request the diagnostics with the UPK usage profile.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows the daily-mean SW and LW all-sky TOA radiative flux &lt;br /&gt;
fields from the UKCA tutorial job for 1st September 1999 (produced by&lt;br /&gt;
gmann job u-ai902, which updated from u-ai830 by adding in the requests).&lt;br /&gt;
&lt;br /&gt;
[[File:ai902_SWandLWallskyTOAfluxes.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Example Output===&lt;br /&gt;
&lt;br /&gt;
Example output for Task12.1 can be found on ARCHER in the following directory:&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.1&lt;br /&gt;
&lt;br /&gt;
==Task 12.2 Configure the UKCA tutorial job to run as a &#039;&#039;double-call&#039;&#039; job diagnosing aerosol radiative effects==&lt;br /&gt;
&lt;br /&gt;
In this task you will copy the copy of the standard tutorial job you used in Task 12.1&lt;br /&gt;
(&amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai902&#039;&#039;&#039;&amp;lt;/code&amp;gt;)&lt;br /&gt;
and configure it to run with &#039;&#039;double-call&#039;&#039; to the radiation scheme to diagnose the radiative&lt;br /&gt;
effects of the aerosol simulated by GLOMAP in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
The UM has been coded to allow the user to diagnose radiative effects of a particular&lt;br /&gt;
forcing agent by calling the radiation scheme twice with one of the calls setting the&lt;br /&gt;
agent&#039;s concentration to zero. Special &#039;&#039;forcing&#039;&#039; STASH items are included within the&lt;br /&gt;
UM which store the difference in the radiative fluxes between the two radiation calls.&lt;br /&gt;
&lt;br /&gt;
In the um &#039;&#039;app&#039;&#039; in the Rose GUI go to namelist --&amp;gt; UM Science Settings&lt;br /&gt;
and then choose &#039;&#039;Section 1 - 2: Radiation&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
In the &#039;&#039;General Options&#039;&#039; panel, you see that at the top there is an&lt;br /&gt;
&#039;&#039;i_rad_extra_call&#039;&#039; &amp;quot;Options for multiple calls to radiation&amp;quot; button-selector.&lt;br /&gt;
&lt;br /&gt;
The UKCA tutorial job is set to &amp;quot;Single call&amp;quot; which is the standard way of running the UM&lt;br /&gt;
with a single call to the radiation scheme every radiation timestep (here one hour).&lt;br /&gt;
You see there is a 2nd option there to select &amp;quot;Diagnose radiative forcings&amp;quot;.&lt;br /&gt;
Selecting this option activates the &#039;&#039;double-call&#039;&#039; approach where the radiation scheme&lt;br /&gt;
is called twice on each radiation timestep once with the forcing agent and&lt;br /&gt;
once without it.&lt;br /&gt;
&lt;br /&gt;
With this option, the idea is that the user can then isolate the difference is&lt;br /&gt;
the radiative fluxes (i.e. the forcing) due to a particular forcing agent of&lt;br /&gt;
interest. There are a host of additional settings that become available when&lt;br /&gt;
you select this option setting exactly which forcings to isolate via the&lt;br /&gt;
difference between the main call and the 2nd call.&lt;br /&gt;
&lt;br /&gt;
The default approach for this &#039;&#039;Diagnose radiative forcings&#039;&#039; option, involves&lt;br /&gt;
the model diagnosing the radiative forcing based on the flux-difference being&lt;br /&gt;
between the &#039;&#039;advancing call&#039;&#039; including the radiative effects of the forcing&lt;br /&gt;
agent (as usual), and the 2nd &#039;&#039;diagnostic call&#039;&#039; to the radiation setting&lt;br /&gt;
that species concentration to zero (or not including its effects in the&lt;br /&gt;
radiative transfer calculations).&lt;br /&gt;
&lt;br /&gt;
These additional settings for the diagnostic call are set in three of the&lt;br /&gt;
sub-panels of this &#039;&#039;Section 1 - 2: Radiation&#039;&#039; part of the Rose GUI.&lt;br /&gt;
First it can be seen that there are &amp;quot;SW second call&amp;quot; and &amp;quot;LW second call&amp;quot;&lt;br /&gt;
panels that become active.  There is also a separate &#039;&#039;Diagnostic forcing&#039;&#039;&lt;br /&gt;
panel for setting the precise arrangement for this second call to the&lt;br /&gt;
radiation. In this separate panel it is possible to individually (or multiply)&lt;br /&gt;
select the CLASSIC aerosol types to diagnose their radiative effects.&lt;br /&gt;
For GLOMAP-mode it&#039;s different in that it only makes sense to diagnose the&lt;br /&gt;
effects over all the types considered since the different types are internally&lt;br /&gt;
mixed within each size class.  The user will likely only want to run these&lt;br /&gt;
effects when the settings in the second radiation call match exactly with&lt;br /&gt;
those in the first radiation call (so that the difference then indicates&lt;br /&gt;
the forcing due to the forcing agent of interest rather than any difference&lt;br /&gt;
in settings. If particular experiments as planned, as usual it is recommended&lt;br /&gt;
to discuss with the relevant expert(s) within NCAS or the Met Office.&lt;br /&gt;
&lt;br /&gt;
As explained above, the default UM setting for the double-call is to set&lt;br /&gt;
the species mixing ratio to zero in the diagnostic call with the&lt;br /&gt;
difference then including any fast feedbacks from the forcing agent&lt;br /&gt;
in the advancing call. However, it is often very useful to be able to&lt;br /&gt;
suppress the fast feedbacks from the forcing agent in question by&lt;br /&gt;
reversing the operation of the double-call including the aerosol&lt;br /&gt;
radiative effects only in the diagnostic call&lt;br /&gt;
and setting the species mixing ratio to zero in the advancing call.&lt;br /&gt;
&lt;br /&gt;
With this &#039;&#039;diagnostic double-call radiative forcing&#039;&#039; configuration,&lt;br /&gt;
the difference in radiative fluxes between the two calls then&lt;br /&gt;
provides the aerosol radiative perturbation with respect to an&lt;br /&gt;
atmosphere containing no aerosols.&lt;br /&gt;
One can diagnose the present-day to pre-industrial aerosol radiative forcing by taking the difference between&lt;br /&gt;
two parallel double-call simulations with aerosol and precursor emissions set to 1850 and 2000.&lt;br /&gt;
All other forcing agents, such as greenhouse gases or land-use change, remain fixed at a reference time period.&lt;br /&gt;
&lt;br /&gt;
Often nudging to meteorological re-analysis winds and temperatures is applied in tandem with the double-call configuration&lt;br /&gt;
in which case the composition-climate model is being run in a similar way to an offline chemistry-transport model.&lt;br /&gt;
This approach has been used extensively in aerosol forcing intercomparisons (e.g. the AeroCom direct forcing&lt;br /&gt;
experiments, Myhre et al., 2013, ACP) with the radiative forcings diagnosed from each model with fast feedbacks&lt;br /&gt;
disabled.&lt;br /&gt;
&lt;br /&gt;
Unfortunately, this &#039;&#039;diagnostic double-call&#039;&#039; configuration is not one of&lt;br /&gt;
the supported configurations of the v10.4 release job. As a consequence,&lt;br /&gt;
to run UM-UKCA with this configuration, you will need to add an&lt;br /&gt;
extra FCM branch to the job and also modify the metadata in the&lt;br /&gt;
the Rose GUI to enable the option to run configured in this way.&lt;br /&gt;
&lt;br /&gt;
First add the branch. In the fcm_make_um &#039;&#039;app&#039;&#039; go to &#039;&#039;env&#039;&#039; and&lt;br /&gt;
then &#039;&#039;Sources&#039;&#039;.  There you should add an extra entry to add-in the&lt;br /&gt;
code-changes from revision 32385 of the following FCM branch:&lt;br /&gt;
&lt;br /&gt;
branches/dev/grahammann/vn10.4_updates_for_dblcalaerforc@32385&lt;br /&gt;
&lt;br /&gt;
The code added in that branch applies a new switch C2C_AER_DIAGCAL&lt;br /&gt;
which controls whether the setting of the forcing agent to zero is&lt;br /&gt;
applied on the advancing call (C2C_AER_DIAGCAL will be .TRUE.&lt;br /&gt;
because the GLOMAP aerosol is included only in the diagnostic call).&lt;br /&gt;
To retain the standard operation of the double-call where the aerosol&lt;br /&gt;
is included in the advancing call but set to zero in the diagnostic&lt;br /&gt;
call, the C2C_AER_DIAGCAL needs to be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
We need to use new metadata to enable this switch -- and also to&lt;br /&gt;
add in a new switch C2C_UKCA_I which controls whether the GLOMAP&lt;br /&gt;
indirect effects are included in the diagnostic call or not.&lt;br /&gt;
&lt;br /&gt;
Just like in the last task, this requires to point the Rose GUI&lt;br /&gt;
to a new rose-meta.conf file within a separate directory outside&lt;br /&gt;
the FCM branch.&lt;br /&gt;
&lt;br /&gt;
In the Rose GUI click on the &#039;&#039;um&#039;&#039; word and you&#039;ll see that&lt;br /&gt;
there is already a separate metadata file specified in that&lt;br /&gt;
job which is set to point to:&lt;br /&gt;
&lt;br /&gt;
/home/grenville/meta/ga7_vn10.4&lt;br /&gt;
&lt;br /&gt;
I have prepared a modified version of this that enables the extra&lt;br /&gt;
C2C_AER_DIAGCAL and C2C_UKCA_I switches to be selected in the Rose GUI.&lt;br /&gt;
So change the file path to instead point to this one:&lt;br /&gt;
&lt;br /&gt;
/home/gmann/meta/ga7_vn10.4_dblcalaerforc&lt;br /&gt;
&lt;br /&gt;
After you have done this, there will be 2 additional buttons&lt;br /&gt;
available in the &#039;&#039;Diagnostic forcing&#039;&#039; panel to allow the user&lt;br /&gt;
to select the C2C_AER_DIAGCAL and C2C_UKCA_I switches.&lt;br /&gt;
&lt;br /&gt;
We want to use this diagnostic call configuration and we want to&lt;br /&gt;
have the forcing be including both the direct and indirect effects&lt;br /&gt;
from the GLOMAP aerosol -- so set C2C_UKCA_D and C2C_UKCA_I to&lt;br /&gt;
be .TRUE.  You should also set the C2C_DUST_D switch to be true&lt;br /&gt;
so that the model is then calculating the overall aerosol&lt;br /&gt;
radiative effects (including both aerosol direct and indirect&lt;br /&gt;
effects with the aerosol consisting of the total of the 6 CLASSIC&lt;br /&gt;
dust bins plus the GLOMAP aerosol modes).  All the other C2C&lt;br /&gt;
switches in that panel should be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
You will also need to update your job to make sure all the settings&lt;br /&gt;
are identical between the diagnostic call and prognostic call&lt;br /&gt;
(in terms of the methods for specifying the clouds and which&lt;br /&gt;
other forcing agents are included or not).&lt;br /&gt;
&lt;br /&gt;
UP TO HERE.&lt;br /&gt;
&lt;br /&gt;
All that remains then is to add in the extra STASH requests for the double-call forcing diagnostics and&lt;br /&gt;
to note a change to the operation of the Aerosol Optical Depth diagnostics.&lt;br /&gt;
&lt;br /&gt;
The approach taken to index the STASH numbers for the radiative forcing items (the flux-difference between&lt;br /&gt;
the two radiation calls) is to apply an offset of +200 to the item number to the corresponding item for&lt;br /&gt;
the conventional radiative fluxes.&lt;br /&gt;
&lt;br /&gt;
In task 12.1 we added STASH requests for the all-sky TOA outgoing SW and LW radiative fluxes which are&lt;br /&gt;
referenced in STASH as section 1 item 208 and section 2 item 205.&lt;br /&gt;
&lt;br /&gt;
To request the all-sky TOA outgoing SW and LW radiative forcings (between the two radiation calls) the&lt;br /&gt;
corresponding item numbers are section 1 item 408 and section 2 item 405.  Unfortunately however,&lt;br /&gt;
at UM v8.4, section 2 item 405 is not available from the UMUI.  In this task we will therefore request&lt;br /&gt;
instead the clear-sky TOA outgoing SW and LW radiative forcing diagnostics (section 1 item 409 and&lt;br /&gt;
section 2 item 406).  Note also that one needs to request both the radiation flux and radiation forcing&lt;br /&gt;
diagnostic in these runs so you should add 4 daily-mean STASH requests for section 1 items 209 and 409&lt;br /&gt;
and section 2 items 206 and 406.&lt;br /&gt;
&lt;br /&gt;
Go to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add the daily-mean (TDAYM)&lt;br /&gt;
requests for both of these flux-forcing pairs of diagnostics. As in Task 10.1, the domain profile&lt;br /&gt;
should be set as DIAG and the usage profile as UPA.&lt;br /&gt;
&lt;br /&gt;
Since we have now configured the model to run with GLOMAP aerosol set to zero in the advancing call,&lt;br /&gt;
the conventional AOD diagnostics introduced in tutorial 10 (section 2 items 300 to 305) will now&lt;br /&gt;
contain zero values when the model is run.&lt;br /&gt;
&lt;br /&gt;
The UM therefore has a second set of AOD diagnostics giving the aerosol optical depth as calculated&lt;br /&gt;
in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The approach for the double-call AOD diagnostics is the same as for the forcing diags, i.e. to&lt;br /&gt;
apply an offset of +200 to the item number to find the corresponding AOD item in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The double-call GLOMAP AOD diagnostics are therefore found in section 2 items 500 to 505.&lt;br /&gt;
&lt;br /&gt;
At v8.4 it is necessary to add an extra user-STASHmaster file to enable these STASH items to be&lt;br /&gt;
requested in the job. In the &#039;&#039;User-STASHmaster files. Diags, Progs &amp;amp; Ancils&#039;&#039; window off the&lt;br /&gt;
STASH panel you need to add in the following file&lt;br /&gt;
&lt;br /&gt;
  ~gmann/stashfiles/dblecall_aods_only.stash&lt;br /&gt;
&lt;br /&gt;
You will also need to add the hand-edit&lt;br /&gt;
&lt;br /&gt;
 ~gmann/umui_jobs/hand_edits/vn8.4_nosulphateAOD.ed&lt;br /&gt;
&lt;br /&gt;
which removes the CLASSIC sulphate AOD as it causes a crash in the double-call forcing configuration.&lt;br /&gt;
You should also remove this STASH number (2-284) as well as the mineral dust optical depth (2-285)&lt;br /&gt;
from the STASH requests panel. This causes a crash on ARCHER, but not on MONSooN.&lt;br /&gt;
&lt;br /&gt;
If you view that file you see that as well as providing the STASH settings for the GLOMAP&lt;br /&gt;
double-call AOD diagnostics for each mode, it also provides the information to the UMUI to allow&lt;br /&gt;
double-call AOD diagnostics to be requested for each of the CLASSIC aerosol types.&lt;br /&gt;
&lt;br /&gt;
Once you have have added the &#039;&#039;dblecall_aods_only.stash&#039;&#039; user-STASHmaster file you should proceed&lt;br /&gt;
to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add daily-mean (TDAYM)&lt;br /&gt;
requests for the double-call GLOMAP AODs (section 2 items 500 to 505) with usage profile UPA&lt;br /&gt;
and domain profile DIAG_AOT.&lt;br /&gt;
&lt;br /&gt;
The simulation will then output daily-mean SW and LW clear-sky forcings and double-call AOD&lt;br /&gt;
diagnostics to the .pa file for your UM-UKCA job.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows daily-mean TOA SW-clearsky and LW-clearsky radiative effect fields for&lt;br /&gt;
the double-call-modified version of the UKCA tutorial (gmann job xkwhi).&lt;br /&gt;
&lt;br /&gt;
[[File:idl_dailyTOAradforcings_SWclearsky_LWclearsky_xkwhi.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Worked Solution===&lt;br /&gt;
&lt;br /&gt;
A worked solution to Task 12.2 can be found in job &amp;lt;code&amp;gt;&#039;&#039;&#039;xjrnn&#039;&#039;&#039;&amp;lt;/code&amp;gt;.&lt;br /&gt;
Sample output from a copy of this job can be found on ARCHER in the directory&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Written by [[User:Gmann | Graham Mann]] 2016&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5726</id>
		<title>UKCA Chemistry and Aerosol vn10.4 Tutorial 12</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5726"/>
		<updated>2017-01-06T09:52:47Z</updated>

		<summary type="html">&lt;p&gt;Gmann: /* Task 12.2 Configure the UKCA tutorial job to run as a double-call job diagnosing aerosol radiative effects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[UKCA Chemistry and Aerosol Tutorials at vn10.4]]&lt;br /&gt;
&lt;br /&gt;
==What you will learn in this Tutorial==&lt;br /&gt;
&lt;br /&gt;
In this tutorial you will learn about how to quantify the radiative effects of aerosol&lt;br /&gt;
simulated by GLOMAP-mode in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
In the first task you will update your copy of the UKCA tutorial job to request radiative&lt;br /&gt;
fluxes allowing the radiative flux perturbation (or effective radiative forcing) to be&lt;br /&gt;
diagnosed based on difference in the fluxes between a pair of UM-UKCA jobs with some&lt;br /&gt;
difference (e.g. pre-industrial and present-day emissions jobs).&lt;br /&gt;
&lt;br /&gt;
The second task involves configuring a copy of the UKCA tutorial job to run in&lt;br /&gt;
&#039;&#039;double-call configuration&#039;&#039; whereby the aerosol radiative effects can be diagnosed&lt;br /&gt;
at each radiation timestep.&lt;br /&gt;
&lt;br /&gt;
==Task 12.1: Update your copy of the UKCA tutorial job to diagnose Top Of the Atmosphere (TOA) radiative fluxes==&lt;br /&gt;
&lt;br /&gt;
In this task you will add STASH requests for SW and LW outgoing radiative fluxes at&lt;br /&gt;
the top of the atmosphere to enable the radiative forcing from a particular change to be diagnosed.&lt;br /&gt;
&lt;br /&gt;
The user should note however that to illustrate the task we are adding these requests to&lt;br /&gt;
the UKCA tutorial job which is just a 1-day simulation.&lt;br /&gt;
&lt;br /&gt;
One would need to average the flux-difference between the pair of simulations over an&lt;br /&gt;
appropriate timescale (e.g. multi-annual monthly-means) in order to diagnose an&lt;br /&gt;
effective radiative forcing appropriately.&lt;br /&gt;
&lt;br /&gt;
Noting the above caveat, proceed and add daily-mean STASH requests for section 1 item 208&lt;br /&gt;
(all-sky outgoing short wave flux at the top-of-the-atmosphere) and section 2 item 205&lt;br /&gt;
(all-sky outgoing long wave flux at the top-of-the-atmosphere) to the updated copy of the     &lt;br /&gt;
UKCA tutorial suite you produced in Task 10 after adding AOD and OM diags (the&lt;br /&gt;
reference job for this is u-ai830).&lt;br /&gt;
&lt;br /&gt;
The radiative fluxes are 2-dimensional diagnostics (longitude by latitude) so you should&lt;br /&gt;
use the DIAG domain profile in this case. For daily-means use the TDAYM time profile.&lt;br /&gt;
Again, since we require the daily-mean fluxes to be output to the .pa file you should&lt;br /&gt;
request the diagnostics with the UPK usage profile.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows the daily-mean SW and LW all-sky TOA radiative flux &lt;br /&gt;
fields from the UKCA tutorial job for 1st September 1999 (produced by&lt;br /&gt;
gmann job u-ai902, which updated from u-ai830 by adding in the requests).&lt;br /&gt;
&lt;br /&gt;
[[File:ai902_SWandLWallskyTOAfluxes.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Example Output===&lt;br /&gt;
&lt;br /&gt;
Example output for Task12.1 can be found on ARCHER in the following directory:&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.1&lt;br /&gt;
&lt;br /&gt;
==Task 12.2 Configure the UKCA tutorial job to run as a &#039;&#039;double-call&#039;&#039; job diagnosing aerosol radiative effects==&lt;br /&gt;
&lt;br /&gt;
In this task you will copy the copy of the standard tutorial job you used in Task 12.1&lt;br /&gt;
(&amp;lt;code&amp;gt;&#039;&#039;&#039;u-ai830&#039;&#039;&#039;&amp;lt;/code&amp;gt;)&lt;br /&gt;
and configure it to run with &#039;&#039;double-call&#039;&#039; to the radiation scheme to diagnose the radiative&lt;br /&gt;
effects of the aerosol simulated by GLOMAP in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
The UM has been coded to allow the user to diagnose radiative effects of a particular&lt;br /&gt;
forcing agent by calling the radiation scheme twice with one of the calls setting the&lt;br /&gt;
agent&#039;s concentration to zero. Special &#039;&#039;forcing&#039;&#039; STASH items are included within the&lt;br /&gt;
UM which store the difference in the radiative fluxes between the two radiation calls.&lt;br /&gt;
&lt;br /&gt;
In the um &#039;&#039;app&#039;&#039; in the Rose GUI go to namelist --&amp;gt; UM Science Settings&lt;br /&gt;
and then choose &#039;&#039;Section 1 - 2: Radiation&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
In the &#039;&#039;General Options&#039;&#039; panel, you see that at the top there is an&lt;br /&gt;
&#039;&#039;i_rad_extra_call&#039;&#039; &amp;quot;Options for multiple calls to radiation&amp;quot; button-selector.&lt;br /&gt;
&lt;br /&gt;
The UKCA tutorial job is set to &amp;quot;Single call&amp;quot; which is the standard way of running the UM&lt;br /&gt;
with a single call to the radiation scheme every radiation timestep (here one hour).&lt;br /&gt;
You see there is a 2nd option there to select &amp;quot;Diagnose radiative forcings&amp;quot;.&lt;br /&gt;
Selecting this option activates the &#039;&#039;double-call&#039;&#039; approach where the radiation scheme&lt;br /&gt;
is called twice on each radiation timestep once with the forcing agent and&lt;br /&gt;
once without it.&lt;br /&gt;
&lt;br /&gt;
With this option, the idea is that the user can then isolate the difference is&lt;br /&gt;
the radiative fluxes (i.e. the forcing) due to a particular forcing agent of&lt;br /&gt;
interest. There are a host of additional settings that become available when&lt;br /&gt;
you select this option setting exactly which forcings to isolate via the&lt;br /&gt;
difference between the main call and the 2nd call.&lt;br /&gt;
&lt;br /&gt;
The default approach for this &#039;&#039;Diagnose radiative forcings&#039;&#039; option, involves&lt;br /&gt;
the model diagnosing the radiative forcing based on the flux-difference being&lt;br /&gt;
between the &#039;&#039;advancing call&#039;&#039; including the radiative effects of the forcing&lt;br /&gt;
agent (as usual), and the 2nd &#039;&#039;diagnostic call&#039;&#039; to the radiation setting&lt;br /&gt;
that species concentration to zero (or not including its effects in the&lt;br /&gt;
radiative transfer calculations).&lt;br /&gt;
&lt;br /&gt;
These additional settings for the diagnostic call are set in three of the&lt;br /&gt;
sub-panels of this &#039;&#039;Section 1 - 2: Radiation&#039;&#039; part of the Rose GUI.&lt;br /&gt;
First it can be seen that there are &amp;quot;SW second call&amp;quot; and &amp;quot;LW second call&amp;quot;&lt;br /&gt;
panels that become active.  There is also a separate &#039;&#039;Diagnostic forcing&#039;&#039;&lt;br /&gt;
panel for setting the precise arrangement for this second call to the&lt;br /&gt;
radiation. In this separate panel it is possible to individually (or multiply)&lt;br /&gt;
select the CLASSIC aerosol types to diagnose their radiative effects.&lt;br /&gt;
For GLOMAP-mode it&#039;s different in that it only makes sense to diagnose the&lt;br /&gt;
effects over all the types considered since the different types are internally&lt;br /&gt;
mixed within each size class.  The user will likely only want to run these&lt;br /&gt;
effects when the settings in the second radiation call match exactly with&lt;br /&gt;
those in the first radiation call (so that the difference then indicates&lt;br /&gt;
the forcing due to the forcing agent of interest rather than any difference&lt;br /&gt;
in settings. If particular experiments as planned, as usual it is recommended&lt;br /&gt;
to discuss with the relevant expert(s) within NCAS or the Met Office.&lt;br /&gt;
&lt;br /&gt;
As explained above, the default UM setting for the double-call is to set&lt;br /&gt;
the species mixing ratio to zero in the diagnostic call with the&lt;br /&gt;
difference then including any fast feedbacks from the forcing agent&lt;br /&gt;
in the advancing call. However, it is often very useful to be able to&lt;br /&gt;
suppress the fast feedbacks from the forcing agent in question by&lt;br /&gt;
reversing the operation of the double-call including the aerosol&lt;br /&gt;
radiative effects only in the diagnostic call&lt;br /&gt;
and setting the species mixing ratio to zero in the advancing call.&lt;br /&gt;
&lt;br /&gt;
With this &#039;&#039;diagnostic double-call radiative forcing&#039;&#039; configuration,&lt;br /&gt;
the difference in radiative fluxes between the two calls then&lt;br /&gt;
provides the aerosol radiative perturbation with respect to an&lt;br /&gt;
atmosphere containing no aerosols.&lt;br /&gt;
One can diagnose the present-day to pre-industrial aerosol radiative forcing by taking the difference between&lt;br /&gt;
two parallel double-call simulations with aerosol and precursor emissions set to 1850 and 2000.&lt;br /&gt;
All other forcing agents, such as greenhouse gases or land-use change, remain fixed at a reference time period.&lt;br /&gt;
&lt;br /&gt;
Often nudging to meteorological re-analysis winds and temperatures is applied in tandem with the double-call configuration&lt;br /&gt;
in which case the composition-climate model is being run in a similar way to an offline chemistry-transport model.&lt;br /&gt;
This approach has been used extensively in aerosol forcing intercomparisons (e.g. the AeroCom direct forcing&lt;br /&gt;
experiments, Myhre et al., 2013, ACP) with the radiative forcings diagnosed from each model with fast feedbacks&lt;br /&gt;
disabled.&lt;br /&gt;
&lt;br /&gt;
Unfortunately, this &#039;&#039;diagnostic double-call&#039;&#039; configuration is not one of&lt;br /&gt;
the supported configurations of the v10.4 release job. As a consequence,&lt;br /&gt;
to run UM-UKCA with this configuration, you will need to add an&lt;br /&gt;
extra FCM branch to the job and also modify the metadata in the&lt;br /&gt;
the Rose GUI to enable the option to run configured in this way.&lt;br /&gt;
&lt;br /&gt;
First add the branch. In the fcm_make_um &#039;&#039;app&#039;&#039; go to &#039;&#039;env&#039;&#039; and&lt;br /&gt;
then &#039;&#039;Sources&#039;&#039;.  There you should add an extra entry to add-in the&lt;br /&gt;
code-changes from revision 32385 of the following FCM branch:&lt;br /&gt;
&lt;br /&gt;
branches/dev/grahammann/vn10.4_updates_for_dblcalaerforc@32385&lt;br /&gt;
&lt;br /&gt;
The code added in that branch applies a new switch C2C_AER_DIAGCAL&lt;br /&gt;
which controls whether the setting of the forcing agent to zero is&lt;br /&gt;
applied on the advancing call (C2C_AER_DIAGCAL will be .TRUE.&lt;br /&gt;
because the GLOMAP aerosol is included only in the diagnostic call).&lt;br /&gt;
To retain the standard operation of the double-call where the aerosol&lt;br /&gt;
is included in the advancing call but set to zero in the diagnostic&lt;br /&gt;
call, the C2C_AER_DIAGCAL needs to be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
We need to use new metadata to enable this switch -- and also to&lt;br /&gt;
add in a new switch C2C_UKCA_I which controls whether the GLOMAP&lt;br /&gt;
indirect effects are included in the diagnostic call or not.&lt;br /&gt;
&lt;br /&gt;
Just like in the last task, this requires to point the Rose GUI&lt;br /&gt;
to a new rose-meta.conf file within a separate directory outside&lt;br /&gt;
the FCM branch.&lt;br /&gt;
&lt;br /&gt;
In the Rose GUI click on the &#039;&#039;um&#039;&#039; word and you&#039;ll see that&lt;br /&gt;
there is already a separate metadata file specified in that&lt;br /&gt;
job which is set to point to:&lt;br /&gt;
&lt;br /&gt;
/home/grenville/meta/ga7_vn10.4&lt;br /&gt;
&lt;br /&gt;
I have prepared a modified version of this that enables the extra&lt;br /&gt;
C2C_AER_DIAGCAL and C2C_UKCA_I switches to be selected in the Rose GUI.&lt;br /&gt;
So change the file path to instead point to this one:&lt;br /&gt;
&lt;br /&gt;
/home/gmann/meta/ga7_vn10.4_dblcalaerforc&lt;br /&gt;
&lt;br /&gt;
After you have done this, there will be 2 additional buttons&lt;br /&gt;
available in the &#039;&#039;Diagnostic forcing&#039;&#039; panel to allow the user&lt;br /&gt;
to select the C2C_AER_DIAGCAL and C2C_UKCA_I switches.&lt;br /&gt;
&lt;br /&gt;
We want to use this diagnostic call configuration and we want to&lt;br /&gt;
have the forcing be including both the direct and indirect effects&lt;br /&gt;
from the GLOMAP aerosol -- so set C2C_UKCA_D and C2C_UKCA_I to&lt;br /&gt;
be .TRUE.  You should also set the C2C_DUST_D switch to be true&lt;br /&gt;
so that the model is then calculating the overall aerosol&lt;br /&gt;
radiative effects (including both aerosol direct and indirect&lt;br /&gt;
effects with the aerosol consisting of the total of the 6 CLASSIC&lt;br /&gt;
dust bins plus the GLOMAP aerosol modes).  All the other C2C&lt;br /&gt;
switches in that panel should be set to .FALSE.&lt;br /&gt;
&lt;br /&gt;
You will also need to update your job to make sure all the settings&lt;br /&gt;
are identical between the diagnostic call and prognostic call&lt;br /&gt;
(in terms of the methods for specifying the clouds and which&lt;br /&gt;
other forcing agents are included or not).&lt;br /&gt;
&lt;br /&gt;
UP TO HERE.&lt;br /&gt;
&lt;br /&gt;
All that remains then is to add in the extra STASH requests for the double-call forcing diagnostics and&lt;br /&gt;
to note a change to the operation of the Aerosol Optical Depth diagnostics.&lt;br /&gt;
&lt;br /&gt;
The approach taken to index the STASH numbers for the radiative forcing items (the flux-difference between&lt;br /&gt;
the two radiation calls) is to apply an offset of +200 to the item number to the corresponding item for&lt;br /&gt;
the conventional radiative fluxes.&lt;br /&gt;
&lt;br /&gt;
In task 12.1 we added STASH requests for the all-sky TOA outgoing SW and LW radiative fluxes which are&lt;br /&gt;
referenced in STASH as section 1 item 208 and section 2 item 205.&lt;br /&gt;
&lt;br /&gt;
To request the all-sky TOA outgoing SW and LW radiative forcings (between the two radiation calls) the&lt;br /&gt;
corresponding item numbers are section 1 item 408 and section 2 item 405.  Unfortunately however,&lt;br /&gt;
at UM v8.4, section 2 item 405 is not available from the UMUI.  In this task we will therefore request&lt;br /&gt;
instead the clear-sky TOA outgoing SW and LW radiative forcing diagnostics (section 1 item 409 and&lt;br /&gt;
section 2 item 406).  Note also that one needs to request both the radiation flux and radiation forcing&lt;br /&gt;
diagnostic in these runs so you should add 4 daily-mean STASH requests for section 1 items 209 and 409&lt;br /&gt;
and section 2 items 206 and 406.&lt;br /&gt;
&lt;br /&gt;
Go to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add the daily-mean (TDAYM)&lt;br /&gt;
requests for both of these flux-forcing pairs of diagnostics. As in Task 10.1, the domain profile&lt;br /&gt;
should be set as DIAG and the usage profile as UPA.&lt;br /&gt;
&lt;br /&gt;
Since we have now configured the model to run with GLOMAP aerosol set to zero in the advancing call,&lt;br /&gt;
the conventional AOD diagnostics introduced in tutorial 10 (section 2 items 300 to 305) will now&lt;br /&gt;
contain zero values when the model is run.&lt;br /&gt;
&lt;br /&gt;
The UM therefore has a second set of AOD diagnostics giving the aerosol optical depth as calculated&lt;br /&gt;
in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The approach for the double-call AOD diagnostics is the same as for the forcing diags, i.e. to&lt;br /&gt;
apply an offset of +200 to the item number to find the corresponding AOD item in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The double-call GLOMAP AOD diagnostics are therefore found in section 2 items 500 to 505.&lt;br /&gt;
&lt;br /&gt;
At v8.4 it is necessary to add an extra user-STASHmaster file to enable these STASH items to be&lt;br /&gt;
requested in the job. In the &#039;&#039;User-STASHmaster files. Diags, Progs &amp;amp; Ancils&#039;&#039; window off the&lt;br /&gt;
STASH panel you need to add in the following file&lt;br /&gt;
&lt;br /&gt;
  ~gmann/stashfiles/dblecall_aods_only.stash&lt;br /&gt;
&lt;br /&gt;
You will also need to add the hand-edit&lt;br /&gt;
&lt;br /&gt;
 ~gmann/umui_jobs/hand_edits/vn8.4_nosulphateAOD.ed&lt;br /&gt;
&lt;br /&gt;
which removes the CLASSIC sulphate AOD as it causes a crash in the double-call forcing configuration.&lt;br /&gt;
You should also remove this STASH number (2-284) as well as the mineral dust optical depth (2-285)&lt;br /&gt;
from the STASH requests panel. This causes a crash on ARCHER, but not on MONSooN.&lt;br /&gt;
&lt;br /&gt;
If you view that file you see that as well as providing the STASH settings for the GLOMAP&lt;br /&gt;
double-call AOD diagnostics for each mode, it also provides the information to the UMUI to allow&lt;br /&gt;
double-call AOD diagnostics to be requested for each of the CLASSIC aerosol types.&lt;br /&gt;
&lt;br /&gt;
Once you have have added the &#039;&#039;dblecall_aods_only.stash&#039;&#039; user-STASHmaster file you should proceed&lt;br /&gt;
to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add daily-mean (TDAYM)&lt;br /&gt;
requests for the double-call GLOMAP AODs (section 2 items 500 to 505) with usage profile UPA&lt;br /&gt;
and domain profile DIAG_AOT.&lt;br /&gt;
&lt;br /&gt;
The simulation will then output daily-mean SW and LW clear-sky forcings and double-call AOD&lt;br /&gt;
diagnostics to the .pa file for your UM-UKCA job.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows daily-mean TOA SW-clearsky and LW-clearsky radiative effect fields for&lt;br /&gt;
the double-call-modified version of the UKCA tutorial (gmann job xkwhi).&lt;br /&gt;
&lt;br /&gt;
[[File:idl_dailyTOAradforcings_SWclearsky_LWclearsky_xkwhi.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Worked Solution===&lt;br /&gt;
&lt;br /&gt;
A worked solution to Task 12.2 can be found in job &amp;lt;code&amp;gt;&#039;&#039;&#039;xjrnn&#039;&#039;&#039;&amp;lt;/code&amp;gt;.&lt;br /&gt;
Sample output from a copy of this job can be found on ARCHER in the directory&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Written by [[User:Gmann | Graham Mann]] 2016&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
	<entry>
		<id>https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5725</id>
		<title>UKCA Chemistry and Aerosol vn10.4 Tutorial 12</title>
		<link rel="alternate" type="text/html" href="https://www.ukca.ac.uk/wiki/index.php?title=UKCA_Chemistry_and_Aerosol_vn10.4_Tutorial_12&amp;diff=5725"/>
		<updated>2017-01-05T15:43:26Z</updated>

		<summary type="html">&lt;p&gt;Gmann: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[UKCA Chemistry and Aerosol Tutorials at vn10.4]]&lt;br /&gt;
&lt;br /&gt;
==What you will learn in this Tutorial==&lt;br /&gt;
&lt;br /&gt;
In this tutorial you will learn about how to quantify the radiative effects of aerosol&lt;br /&gt;
simulated by GLOMAP-mode in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
In the first task you will update your copy of the UKCA tutorial job to request radiative&lt;br /&gt;
fluxes allowing the radiative flux perturbation (or effective radiative forcing) to be&lt;br /&gt;
diagnosed based on difference in the fluxes between a pair of UM-UKCA jobs with some&lt;br /&gt;
difference (e.g. pre-industrial and present-day emissions jobs).&lt;br /&gt;
&lt;br /&gt;
The second task involves configuring a copy of the UKCA tutorial job to run in&lt;br /&gt;
&#039;&#039;double-call configuration&#039;&#039; whereby the aerosol radiative effects can be diagnosed&lt;br /&gt;
at each radiation timestep.&lt;br /&gt;
&lt;br /&gt;
==Task 12.1: Update your copy of the UKCA tutorial job to diagnose Top Of the Atmosphere (TOA) radiative fluxes==&lt;br /&gt;
&lt;br /&gt;
In this task you will add STASH requests for SW and LW outgoing radiative fluxes at&lt;br /&gt;
the top of the atmosphere to enable the radiative forcing from a particular change to be diagnosed.&lt;br /&gt;
&lt;br /&gt;
The user should note however that to illustrate the task we are adding these requests to&lt;br /&gt;
the UKCA tutorial job which is just a 1-day simulation.&lt;br /&gt;
&lt;br /&gt;
One would need to average the flux-difference between the pair of simulations over an&lt;br /&gt;
appropriate timescale (e.g. multi-annual monthly-means) in order to diagnose an&lt;br /&gt;
effective radiative forcing appropriately.&lt;br /&gt;
&lt;br /&gt;
Noting the above caveat, proceed and add daily-mean STASH requests for section 1 item 208&lt;br /&gt;
(all-sky outgoing short wave flux at the top-of-the-atmosphere) and section 2 item 205&lt;br /&gt;
(all-sky outgoing long wave flux at the top-of-the-atmosphere) to the updated copy of the     &lt;br /&gt;
UKCA tutorial suite you produced in Task 10 after adding AOD and OM diags (the&lt;br /&gt;
reference job for this is u-ai830).&lt;br /&gt;
&lt;br /&gt;
The radiative fluxes are 2-dimensional diagnostics (longitude by latitude) so you should&lt;br /&gt;
use the DIAG domain profile in this case. For daily-means use the TDAYM time profile.&lt;br /&gt;
Again, since we require the daily-mean fluxes to be output to the .pa file you should&lt;br /&gt;
request the diagnostics with the UPK usage profile.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows the daily-mean SW and LW all-sky TOA radiative flux &lt;br /&gt;
fields from the UKCA tutorial job for 1st September 1999 (produced by&lt;br /&gt;
gmann job u-ai902, which updated from u-ai830 by adding in the requests).&lt;br /&gt;
&lt;br /&gt;
[[File:ai902_SWandLWallskyTOAfluxes.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Example Output===&lt;br /&gt;
&lt;br /&gt;
Example output for Task12.1 can be found on ARCHER in the following directory:&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.1&lt;br /&gt;
&lt;br /&gt;
==Task 12.2 Configure the UKCA tutorial job to run as a &#039;&#039;double-call&#039;&#039; job diagnosing aerosol radiative effects==&lt;br /&gt;
&lt;br /&gt;
In this task you will copy your copy of the standard tutorial job (&amp;lt;code&amp;gt;&#039;&#039;&#039;xjrnk&#039;&#039;&#039;&amp;lt;/code&amp;gt;)&lt;br /&gt;
and configure it to run with &#039;&#039;double-call&#039;&#039; to the radiation scheme to diagnose the radiative&lt;br /&gt;
effects of the aerosol simulated by GLOMAP in UM-UKCA.&lt;br /&gt;
&lt;br /&gt;
The UM has been coded to allow the user to diagnose radiative effects of a particular&lt;br /&gt;
forcing agent by calling the radiation scheme twice with one of the calls setting the&lt;br /&gt;
agent&#039;s concentration to zero. Special &#039;&#039;forcing&#039;&#039; STASH items are included within the&lt;br /&gt;
UM which store the difference in the radiative fluxes between the two radiation calls.&lt;br /&gt;
&lt;br /&gt;
In the UMUI go to Atmosphere --&amp;gt; Scientific Parameters and Sections --&amp;gt; Section by section choices&lt;br /&gt;
and then choose &#039;&#039;Section 1: SW radiation&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
In the SW Radiation UMUI panel that opens, you see that at the top&lt;br /&gt;
there is an &amp;quot;Options for multiple calls to radiation&amp;quot; button-selector.&lt;br /&gt;
&lt;br /&gt;
The UKCA tutorial job is set to &amp;quot;Timestepping scheme&amp;quot; which is the recommended way of running the model.&lt;br /&gt;
In this configuration the UM has a single call to the radiation scheme every radiation timestep (here 3 hours)&lt;br /&gt;
with a 2nd reduced-call being applied on other timesteps (for more details see Manners et al., QJRMS 2009).&lt;br /&gt;
The &#039;&#039;single-call&#039;&#039; option is the same as the Timestepping scheme but does not apply the reduced radiation&lt;br /&gt;
call on interim timesteps.&lt;br /&gt;
&lt;br /&gt;
The other option supported here is to select &amp;quot;Diagnose radiative forcings&amp;quot; which activates the &#039;&#039;double-call&#039;&#039;&lt;br /&gt;
approach where the radiation scheme is called twice on each radiation timestep with and without the forcing agent.&lt;br /&gt;
&lt;br /&gt;
By default, if one selects the &#039;&#039;Diagnose radiative forcings&#039;&#039; option, then the model diagnoses the radiative&lt;br /&gt;
forcing based on the &#039;&#039;advancing call&#039;&#039; including the forcing agent as usual, and the species is set to zero&lt;br /&gt;
in the 2nd &#039;&#039;diagnostic call&#039;&#039; to the radiation.&lt;br /&gt;
&lt;br /&gt;
This operation is applied via the &#039;&#039;SLWForc&#039;&#039; panel which&lt;br /&gt;
is available after selecting the &#039;&#039;Gen2&#039;&#039; follow-on window.  See that it is possible to individually select&lt;br /&gt;
each of the CLASSIC aerosol types to diagnose their radiative effects whereas for GLOMAP-mode it only&lt;br /&gt;
makes sense to diagnose the effects over all the types considered since the different types become internally&lt;br /&gt;
mixed within each size class. Note that the user needs to be very careful to specify exactly how the effects&lt;br /&gt;
should be applied in the second radiation call and this is specified in the &#039;&#039;Call2&#039;&#039; follow-on window.&lt;br /&gt;
&lt;br /&gt;
We strongly recommend only making changes to the default settings after discussing with relevant experts&lt;br /&gt;
within NCAS or the Met Office.&lt;br /&gt;
&lt;br /&gt;
Although the default UM setting for the double-call is to set the species mixing ratio to zero in the diagnostic&lt;br /&gt;
call, it is often very useful to be able to suppress the fast feedbacks from the forcing agent in question by&lt;br /&gt;
reversing the operation of the double-call including the aerosol radiative effects only in the diagnostic call&lt;br /&gt;
and setting the species mixing ratio to zero in the advancing call.&lt;br /&gt;
&lt;br /&gt;
With this &#039;&#039;double-call radiative forcing&#039;&#039; configuration, the difference in radiative fluxes between the two calls&lt;br /&gt;
provides the aerosol radiative perturbation with respect to an atmosphere containing no aerosols.&lt;br /&gt;
One can diagnose the present-day to pre-industrial aerosol radiative forcing by taking the difference between&lt;br /&gt;
two parallel double-call simulations with aerosol and precursor emissions set to 1850 and 2000.&lt;br /&gt;
All other forcing agents, such as greenhouse gases or land-use change, remain fixed at a reference time period.&lt;br /&gt;
&lt;br /&gt;
Often nudging to meteorological re-analysis winds and temperatures is applied in tandem with the double-call configuration&lt;br /&gt;
in which case the composition-climate model is being run in a similar way to an offline chemistry-transport model.&lt;br /&gt;
This approach has been used extensively in aerosol forcing intercomparisons (e.g. the AeroCom direct forcing&lt;br /&gt;
experiments, Myhre et al., 2013, ACP) with the radiative forcings diagnosed from each model with fast feedbacks&lt;br /&gt;
disabled.&lt;br /&gt;
&lt;br /&gt;
To run UM-UKCA with this &#039;&#039;double-call radiative forcing&#039;&#039; configuration, you will need to add an extra FCM&lt;br /&gt;
branch to the job and also add an extra hand-edit in the UMUI to configure the double-call.&lt;br /&gt;
&lt;br /&gt;
So first, in the FCM panel, add an entry to point to revision 17632 of the following FCM branch:&lt;br /&gt;
   fcm:um-br/dev/gmann/vn8.4_RADAERupdates_for_dblcalaerforc/src&lt;br /&gt;
&lt;br /&gt;
Then, in the hand-edits panel in the UMUI add the hand-edit to configure the double-call:&lt;br /&gt;
   ~gmann/umui_jobs/hand_edits/vn8.4/c2c_dustADE_glomapADEandAIE1_v84.ed&lt;br /&gt;
&lt;br /&gt;
One of the things the hand-edit sets is the value of a switch C2C_AER_DIAGCAL which controls whether the&lt;br /&gt;
setting of the forcing agent to zero is applied on the advancing call or the diagnostic call.&lt;br /&gt;
You see that the hand-edit sets C2C_AER_DIAGCAL to .TRUE. so that the forcing agent&lt;br /&gt;
is set to zero on the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
When the double-call forcing configuration is selected in the SW (or LW) radiation panels it&lt;br /&gt;
synchronises to the setting in the LW (or SW) panel and a submitted job adds a series of other &#039;&#039;C2C&#039;&#039; switches&lt;br /&gt;
to the &#039;&#039;RADFCDIA&#039;&#039; namelist in the file CNTLATM according to the buttons selected in the &#039;&#039;SLWForc&#039;&#039; panel.&lt;br /&gt;
&lt;br /&gt;
In our &#039;&#039;double-call forcing&#039;&#039; job however, we will keep the &#039;&#039;SLWForc&amp;quot; UMUI panel unchanged with all&lt;br /&gt;
C2C switched set to be false.&lt;br /&gt;
&lt;br /&gt;
Instead we are using the above hand-edit to set the values of the C2C switches in CNTLATM.&lt;br /&gt;
&lt;br /&gt;
If you view the c2c_dustADE_glomapADEandAIE1_v84.ed hand-edit you see it changes the C2C_DUST_D,&lt;br /&gt;
C2C_UKCA_D and C2C_UKCA_I switches to be true so that the model is configured to diagnose the&lt;br /&gt;
flux-difference (forcing) based on including the direct radiative effects from the total of the&lt;br /&gt;
CLASSIC simulated dust combined with the direct and (1st) indirect effects from the GLOMAP&lt;br /&gt;
simulated aerosol properties.&lt;br /&gt;
&lt;br /&gt;
Configuring the radiation scheme for the double-call requires more than just selecting the&lt;br /&gt;
&#039;&#039;Diagnose radiative forcings&#039;&#039; option.&lt;br /&gt;
&lt;br /&gt;
You will need to update your job making also the following changes:&lt;br /&gt;
&lt;br /&gt;
First, in the SW radiation window change the &#039;&#039;Number of times a day ot calculate increments (Diagnostic)&#039;&#039;&lt;br /&gt;
from 24 to 8.  This reverts the diagnostic call to only be carried out on radiation timesteps (3 hourly)&lt;br /&gt;
rather than every hour as the reduced-radiation-call was applied in the timestepping configuration.&lt;br /&gt;
Make the same change in the &#039;&#039;Section 2: LW radiation window&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
Second, in the &amp;quot;Gen2&amp;quot; follow-on window for the SW radiation, change the &#039;&#039;Diagnostic File&#039;&#039; to be the same&lt;br /&gt;
shortwave spectral file as for the &#039;&#039;Prognostic File&#039;&#039;.  I.e. change &#039;&#039;spec_sw_cloud3_0&#039;&#039; to &#039;&#039;spec_sw_ga3_0&#039;&#039;.&lt;br /&gt;
Do the same for the &#039;&#039;Gen2&#039;&#039; follow-on window under the LW radiation panel changing the &#039;&#039;Diagnostic File&#039;&#039;&lt;br /&gt;
from &#039;&#039;spec_lw_cloud3_0&#039;&#039; to &#039;&#039;spec_lw_ga3_0&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
Finally, in the &#039;&#039;Call2&#039;&#039; follow-on window (from the SW or LW Radiation panels) the radiation settings&lt;br /&gt;
for the double-call need to be set to match those used in the main model.&lt;br /&gt;
In order to achieve this, in the  make the following changes:&lt;br /&gt;
* change the &#039;&#039;method for representing horizontal water content variability&#039;&#039; from &#039;&#039;Homogeneous&#039;&#039; to &#039;&#039;McICA&#039;&#039;.&lt;br /&gt;
* change the &#039;&#039;option for overlapping clouds&#039;&#039; from &#039;&#039;Maximum-random&#039;&#039; to &#039;&#039;Exponential-random&#039;&#039;.&lt;br /&gt;
* switch on the button  to include SW absorption by O2&lt;br /&gt;
* switch on the buttons to include LW absorption by CFC113, CFC114, CFC11, CFC12, HCFC22, HCFC125, HFC134A, CH4 and N2O.&lt;br /&gt;
&lt;br /&gt;
All that remains then is to add in the extra STASH requests for the double-call forcing diagnostics and&lt;br /&gt;
to note a change to the operation of the Aerosol Optical Depth diagnostics.&lt;br /&gt;
&lt;br /&gt;
The approach taken to index the STASH numbers for the radiative forcing items (the flux-difference between&lt;br /&gt;
the two radiation calls) is to apply an offset of +200 to the item number to the corresponding item for&lt;br /&gt;
the conventional radiative fluxes.&lt;br /&gt;
&lt;br /&gt;
In task 12.1 we added STASH requests for the all-sky TOA outgoing SW and LW radiative fluxes which are&lt;br /&gt;
referenced in STASH as section 1 item 208 and section 2 item 205.&lt;br /&gt;
&lt;br /&gt;
To request the all-sky TOA outgoing SW and LW radiative forcings (between the two radiation calls) the&lt;br /&gt;
corresponding item numbers are section 1 item 408 and section 2 item 405.  Unfortunately however,&lt;br /&gt;
at UM v8.4, section 2 item 405 is not available from the UMUI.  In this task we will therefore request&lt;br /&gt;
instead the clear-sky TOA outgoing SW and LW radiative forcing diagnostics (section 1 item 409 and&lt;br /&gt;
section 2 item 406).  Note also that one needs to request both the radiation flux and radiation forcing&lt;br /&gt;
diagnostic in these runs so you should add 4 daily-mean STASH requests for section 1 items 209 and 409&lt;br /&gt;
and section 2 items 206 and 406.&lt;br /&gt;
&lt;br /&gt;
Go to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add the daily-mean (TDAYM)&lt;br /&gt;
requests for both of these flux-forcing pairs of diagnostics. As in Task 10.1, the domain profile&lt;br /&gt;
should be set as DIAG and the usage profile as UPA.&lt;br /&gt;
&lt;br /&gt;
Since we have now configured the model to run with GLOMAP aerosol set to zero in the advancing call,&lt;br /&gt;
the conventional AOD diagnostics introduced in tutorial 10 (section 2 items 300 to 305) will now&lt;br /&gt;
contain zero values when the model is run.&lt;br /&gt;
&lt;br /&gt;
The UM therefore has a second set of AOD diagnostics giving the aerosol optical depth as calculated&lt;br /&gt;
in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The approach for the double-call AOD diagnostics is the same as for the forcing diags, i.e. to&lt;br /&gt;
apply an offset of +200 to the item number to find the corresponding AOD item in the diagnostic call.&lt;br /&gt;
&lt;br /&gt;
The double-call GLOMAP AOD diagnostics are therefore found in section 2 items 500 to 505.&lt;br /&gt;
&lt;br /&gt;
At v8.4 it is necessary to add an extra user-STASHmaster file to enable these STASH items to be&lt;br /&gt;
requested in the job. In the &#039;&#039;User-STASHmaster files. Diags, Progs &amp;amp; Ancils&#039;&#039; window off the&lt;br /&gt;
STASH panel you need to add in the following file&lt;br /&gt;
&lt;br /&gt;
  ~gmann/stashfiles/dblecall_aods_only.stash&lt;br /&gt;
&lt;br /&gt;
You will also need to add the hand-edit&lt;br /&gt;
&lt;br /&gt;
 ~gmann/umui_jobs/hand_edits/vn8.4_nosulphateAOD.ed&lt;br /&gt;
&lt;br /&gt;
which removes the CLASSIC sulphate AOD as it causes a crash in the double-call forcing configuration.&lt;br /&gt;
You should also remove this STASH number (2-284) as well as the mineral dust optical depth (2-285)&lt;br /&gt;
from the STASH requests panel. This causes a crash on ARCHER, but not on MONSooN.&lt;br /&gt;
&lt;br /&gt;
If you view that file you see that as well as providing the STASH settings for the GLOMAP&lt;br /&gt;
double-call AOD diagnostics for each mode, it also provides the information to the UMUI to allow&lt;br /&gt;
double-call AOD diagnostics to be requested for each of the CLASSIC aerosol types.&lt;br /&gt;
&lt;br /&gt;
Once you have have added the &#039;&#039;dblecall_aods_only.stash&#039;&#039; user-STASHmaster file you should proceed&lt;br /&gt;
to the &#039;&#039;STASH Specification of Diagnostic requirements&#039;&#039; window and add daily-mean (TDAYM)&lt;br /&gt;
requests for the double-call GLOMAP AODs (section 2 items 500 to 505) with usage profile UPA&lt;br /&gt;
and domain profile DIAG_AOT.&lt;br /&gt;
&lt;br /&gt;
The simulation will then output daily-mean SW and LW clear-sky forcings and double-call AOD&lt;br /&gt;
diagnostics to the .pa file for your UM-UKCA job.&lt;br /&gt;
&lt;br /&gt;
The Figure below shows daily-mean TOA SW-clearsky and LW-clearsky radiative effect fields for&lt;br /&gt;
the double-call-modified version of the UKCA tutorial (gmann job xkwhi).&lt;br /&gt;
&lt;br /&gt;
[[File:idl_dailyTOAradforcings_SWclearsky_LWclearsky_xkwhi.jpg]]&lt;br /&gt;
&lt;br /&gt;
===Worked Solution===&lt;br /&gt;
&lt;br /&gt;
A worked solution to Task 12.2 can be found in job &amp;lt;code&amp;gt;&#039;&#039;&#039;xjrnn&#039;&#039;&#039;&amp;lt;/code&amp;gt;.&lt;br /&gt;
Sample output from a copy of this job can be found on ARCHER in the directory&lt;br /&gt;
&lt;br /&gt;
 /work/n02/n02/ukca/Tutorial/vn8.4/sample_output/Task12.2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Written by [[User:Gmann | Graham Mann]] 2016&#039;&#039;&lt;/div&gt;</summary>
		<author><name>Gmann</name></author>
	</entry>
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