UKCA Chemistry and Aerosol UMvn13.0 Tutorial 13

UKCA Chemistry and Aerosol Tutorials at UMvn13.0

Difficulty	HARD
Time to Complete	2 or more hours
Video instructions

What you will learn in this Tutorial

In this tutorial you will learn how to plot and process UKCA data using the Iris and cf python packages. Example notebooks are provided using both packages, which can be also be viewed here:

• https://github.com/theabro/ukca/tree/master/Tutorials/UMvn13.0/notebooks

and can be found in the

Tutorials/UMvn13.0/notebooks

directory on your virtual machine.

You should work through the notebook to see how the plots are generated. Also compare the different methods between cf and Iris:

• Are some thing easier or harder to do using a particular package?
• Does one package seem to do some things better or worse than the other?

At the end of each notebook are some suggested examples which you should think about and complete.

Observations

This tutorial also makes use of the Bodeker Scientific version 3.4.1 TCO dataset. For ease of use this has been processed from annual files into a single file using the following commands:

for i in `ls *.nc`; do echo $i; ncks -O --mk_rec_dmn time $i $i; done
for i in `ls *.nc`; do echo $i; ncatted -O -a created,global,d,, $i; done
for i in `ls *.nc`; do echo $i; ncatted -O -a units,longitude,o,c,degrees_east $i; done
for i in `ls *.nc`; do echo $i; ncatted -O -a units,latitude,o,c,degrees_north $i; done
ncrcat BSFilledTCO_V3.4.1_????_Monthly.nc ../BSFilledTCO_V3.4.1_Monthly.nc

We would like to thank Bodeker Scientific, funded by the New Zealand Deep South National Science Challenge, for providing the combined NIWA-BS total column ozone database.

Exercise 1: Plot zonal-mean total column ozone

• 

  Total Column Ozone timeseries comparing UKCA and the Bodeker dataset produced using cf-python.

• 

  Total Column Ozone timeseries comparing UKCA and the Bodeker dataset produced using Iris.

You should use the *_toz01.ipynb files for cf and for Iris:

• cf_toz01.ipynb
• iris_toz01.ipynb

Further exercises

When you have completed this notebook, consider the following exercises to try:

1. Plot members from the CCMI2022 ensemble
2. Produce a plot of the ensemble mean of the 3 ensemble members. How would you go about calculating the ensemble mean?

Exercise 2: Plot the regional time evolution of total column ozone

• 

  Total Column Ozone timeseries for September values over the south pole produced using cf-python.

• 

  Total Column Ozone timeseries for September values over the south pole produced using Iris.

You should use the *_toz02.ipynb files for cf and for Iris:

• cf_toz02.ipynb
• iris_toz02.ipynb

Further exercises

When you have completed this notebook, consider the following exercises to try:

1. Try plotting different months and regions, e.g. March for 60N to 90N
2. Try plotting annual mean TCO from 60S to 60N. How would you go about producing an annual mean of each year?

Hint
Take a look at how to perform statistical collapses in cf.
Take a look at the aggregated_by() method in Iris.

Exercise 3: Plot comparisons of total column ozone for specific months

• 

  UKCA Total Column Ozone for March 2011 over the north pole produced using cf-python.

• 

  Bodeker Total Column Ozone for March 2011 over the north pole produced using cf-python.

• 

  Absolute differences in Total Column Ozone between UKCA and Bodeker for March 2011 over the north pole produced using cf-python.

• 

  Percentage differences in Total Column Ozone between UKCA and Bodeker for March 2011 over the north pole produced using cf-python.

• 

  UKCA Total Column Ozone for March 2011 over the north pole produced using Iris.

• 

  Bodeker Total Column Ozone for March 2011 over the north pole produced using Iris.

• 

  Absolute differences in Total Column Ozone between UKCA and Bodeker for March 2011 over the north pole produced using Iris.

• 

  Percentage differences in Total Column Ozone between UKCA and Bodeker for March 2011 over the north pole produced using Iris.

You should use the *_toz03.ipynb files for cf and for Iris:

• cf_toz03.ipynb
• iris_toz03.ipynb

Further exercises

When you have completed this notebook, consider the following exercises to try:

1. Try plotting different dates, e.g. September 2002 over the south pole
2. How do the CCMI1 and CCMI2022 similations compare. Rather than individual months, try considering decadal climatologies and compare ensemble members.

Exercise 4: Plot climatological zonal-mean total column ozone

• 

  UKCA Total Column Ozone climatology for 1995-2005 produced using cf-python.

• 

  Absolute differences in Total Column Ozone for UKCA between 2000-2009 and 1960-1969 produced using cf-python.

• 

  Percentage differences in Total Column Ozone for UKCA between 2000-2009 and 1960-1969 produced using cf-python.

• 

  UKCA Total Column Ozone climatology for 1995-2005 produced using Iris.

• 

  Absolute differences in Total Column Ozone for UKCA between 2000-2009 and 1960-1969 produced using Iris.

• 

  Percentage differences in Total Column Ozone for UKCA between 2000-2009 and 1960-1969 produced using Iris.

You should use the *_toz04.ipynb files for cf and for Iris:

• cf_toz04.ipynb
• iris_toz04.ipynb

Further exercises

When you have completed this notebook, consider the following exercises to try:

1. Try comparing the CCMI2022 ensemble members against the ensemble mean.
2. Try comparing the nudged UM-UKCA ACSIS data against the CCMI2022 ensemble mean. Here the principal difference between the simulations is the use of nudging to constrain the winds and temperatures.

Checklist

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UKCA Chemistry and Aerosol Tutorials at UMvn13.0

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Written by Luke Abraham 2022.