Analysis code for paper: Polar amplification as an inherent response of a circulating atmosphere: results from the TRACMIP aquaplanets

Jupyter notebooks and Python scripts used to analyze polar amplification in the TRACMIP multi-model ensemble.

This code is for a paper by Rick Russotto and Michela Biasutti submitted to Geophysical Research Letters in December 2019 and accepted in March 2020. Code is also at https://github.com/rdrussotto/TRACMIP_pa_notebooks.

Notebooks used to make each figure:

Figure 1: EBM_Gregory_analyze.ipynb

Figure 2, S2: AnalyzeGregoryFeedbacks_v2.ipynb

Figure 3, S3, S8: EBM_Gregory_analyze_part3.ipynb

Figure 4, S4, S5, S9: EBM_BigScatter_TropicsPoles.ipynb

Figure S5, S6: SupplementFigures.ipynb

Other notebooks and scripts that the above depend on:

Notebooks that ran EBM experiments:

EBM_Gregory_run_noG.ipynb

EBM_LocalRemote_Gregory_run_noG.ipynb

EBM_noQ_run.ipynb

Notebooks that ran Gregory regressions:

GregoryTRACMIP.ipynb

GregoryIndividualFeedbacks.ipynb

Notebooks that calculated monthly TOA radiative changes for regressions:

MonthlyAPRP.ipynb

MonthlyKernels.ipynb

MonthlyKernels_CloudLW.ipynb

Miscellaneous:

voigtColors.py

APRPX.py--adapted from https://github.com/rdrussotto/pyaprp