Short documentation on how to use the scripts that produce Figures for the article "Tropical Tropospheric Warming Pattern Explained by Shifts in Convective Heating in the Matsuno-Gill Model".
- Link to paper:
- Link to freely accessible preprint:
Please be aware that the scripts were all designed to run on a high performance computer (in this case "levante" from the DKRZ) and therefore most of the scripts won't run out of the box on a laptop. The used data is large in size and processed with high memory usage. Some basic functions are stored in the metcalc.py and aes_thermo.py files, but the processing and visualising is mainly done in jupyter notebooks.
CMIP6 data is processed with the get_cmip6_rcp85.ipynb notebook. PJ simulations are processed with interpolate_perpetual_jan.sh and perpet_jan_preproc.ipynb. The forcing for the numerical Gill model is created with prepare_forcing.ipynb. Figures in the paper are created in regional_warming.ipynb (Figures 1 and 2), precip_thermo_vs_dyn_seager.ipynb (Figure 3), compare_gill_PJ.ipynb (Figures 4,5,6,8 and 11), ADV_EMF.ipynb (Figure 7), compare_gill_cmip.ipynb (Figures 9 and 10). The python environment is python3/2023.01 on DKRZ's levante.
General Information on how to download and run the ICON model can be found here: https://mpimet.mpg.de/en/science/modeling and here: https://wiki.mpimet.mpg.de/doku.php?id=models:icon:start
The numerical Gill model can be found here: https://github.com/pkeil7/numerical_gill