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Analysis code for paper: Energy transport, polar amplification, and ITCZ shifts in the GeoMIP G1 ensemble

Rick Russotto

Analysis and plotting code for paper by R.D. Russotto and T.P. Ackerman in Atmos. Chem. Phys. special issue on the Geoengineering Model Intercomparison Project.

DOI for paper: 10.5194/acp-2017-823

Python code was written by Rick Russotto. The APRP.py and moistEBM.py modules were based in part on Matlab scripts provided by Yen-Ting Hwang.

If you use any of this code, please acknowledge where it came from.

Python scripts were run using Python 2.7.9. Versions of packages used: 
-Matplotlib 1.5.1 
-NumPy 1.8.2 
-NetCDF4 1.1.0

 

Which scripts made which plots:

Figures 1, 2, 3, 4a: 
v2_meridionalEnergyTransport.py

Figure 4b: 
itczShiftFigureWithCSIRO.py

Figures 5, 6, 7, 8: 
runEBM.py

Table 1: 
temperatureGlobalMean.py 
findCSIRO_reduction.py (for percentage solar constant reduction in CSIRO model, not previously published)

Table A1: 
errorAnalysisEnergyTransport.py

Table B1:
EBM_tuneAB.py

Other scripts and modules that the above scripts depend on: 
APRP.py 
correctCESM_rlut.py 
find_rlut_correction.py 
geomipFunctions.py 
moistEBM.py 
scriptUsingAPRPonGeoMIP.py

 

These scripts are also available at the URL: https://atmos.washington.edu/articles/GeoMIP_EnergyTransport_PolarAmplification_ITCZ/

The APRP.py module can also be found at https://github.com/rdrussotto/pyAPRP, with further documentation.

Files (418.4 kB)
Name Size
APRP.py
md5:7533bf662eaa9f033a602e6def3e78c2 		26.8 kB Download
correctCESM_rlut.py
md5:dbc78595912de3c7ad2e9d3d23ec23fc 		2.6 kB Download
EBM_tuneAB.py
md5:969c60933e61ee570882262c22ac47c5 		12.9 kB Download
errorAnalysisEnergyTransport.py
md5:0846817f5b2a51fcaef10a9c5f659b24 		56.9 kB Download
find_rlut_correction.py
md5:0530ee67446df3a3f42e751fd376fea7 		4.8 kB Download
findCSIRO_reduction.py
md5:d07673f783ab277bb03364835131d92a 		2.5 kB Download
geomipFunctions.py
md5:1e07475ef2204689c5cbd3e07b5927f0 		17.5 kB Download
itczShiftFigureWithCSIRO.py
md5:b1cd7934a62128c4816405b342e0d04c 		23.2 kB Download
LICENSE
md5:d3812ce9b8c6fecc64f5849315f08c05 		70 Bytes Download
moistEBM.py
md5:c94acf92658b75b4dfb8cf14b1469828 		30.6 kB Download
runEBM.py
md5:a765592075c917f50baf8339cbae3cb0 		114.3 kB Download
scriptUsingAPRPonGeoMIP.py
md5:344370bb748be6027676154ae31bffd7 		29.0 kB Download
temperatureGlobalMean.py
md5:b02508b212599ab7ba716f33b2ce7b46 		7.0 kB Download
v2_meridionalEnergyTransport.py
md5:6de6cad536cdd2e178e138bfa1a82849 		90.3 kB Download
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Publication date:
February 2, 2018
DOI:
10.5281/zenodo.1165015

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Atmospheric Chemistry and Physics: 18 pp. 1-19.
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