There is a newer version of this record available.

Software Open Access

Analysis code for paper: Changes in clouds and thermodynamics under solar geoengineering and implications for required solar reduction

Russotto, Rick


Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Russotto, Rick</dc:creator>
  <dc:date>2018-08-03</dc:date>
  <dc:description>Analysis and plotting scripts 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-2018-345

Python code was written by Rick Russotto. The APRP.py module was based in part on Matlab scripts provided by Yen-Ting Hwang. The vertical regridding code was based in part on the "convert_sigma_to_pres" algorithm by Dan Vimont, available at http://www.aos.wisc.edu/~dvimont/matlab/.

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 make which figures in the paper:

Figure 1: 
isG1ReductionCorrelatedWithECS.py

Figure 2: 
taZonalMeanProfiles.py

Figure 3: 
husZonalMeanProfiles.py

Figure 4: 
cloudFractionZonalMeanProfiles.py

Figure 5: 
multiModelMeanCloudsV2.py

Figure 6: 
multiModelMeanPredictorsV2.py

Figure 7: 
multiModelMeanAPRP.py

Figures 8, S9, S10, S11: 
analyzeKernelResults.py

Figures 9, S12: 
mapLWCRE.py

Figures 10, 11: 
barGraphsV2.py

Figures S1, S2, S3: 
cloudFractionMaps.py

Figures S4, S5: 
lowCloudPredictorMaps.py

Figures S6, S7, S8: 
scriptUsingAPRPonGeoMIP.py

Figure S13:
rapidVsFeedbackAPRP.py

Other scripts and modules that the above scripts depend on: 
APRP.py 
calculateClimatologiesForRadiativeKernels.py 
correctCESM_rlut.py 
find_rlut_correction.py 
geomipFunctions.py 
saveModelLatsLons.py 
zonalMeanCloudFraction_CSIRO.py 
zonalMeanCloudFraction_HadGEM2-ES.py 

 

A standalone version of the APRP code can be found at https://github.com/rdrussotto/pyAPRP, with further documentation.</dc:description>
  <dc:identifier>https://zenodo.org/record/1328272</dc:identifier>
  <dc:identifier>10.5281/zenodo.1328272</dc:identifier>
  <dc:identifier>oai:zenodo.org:1328272</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>doi:10.5194/acp-2018-345</dc:relation>
  <dc:relation>doi:10.5281/zenodo.1328271</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:source>Atmospheric Chemistry and Physics</dc:source>
  <dc:title>Analysis code for paper: Changes in clouds and thermodynamics under solar geoengineering and implications for required solar reduction</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>software</dc:type>
</oai_dc:dc>
229
470
views
downloads
All versions This version
Views 229167
Downloads 470359
Data volume 10.2 MB7.4 MB
Unique views 198152
Unique downloads 197133

Share

Cite as