August 3, 2018 Software Open Access

Russotto, Rick

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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.1328272", 
  "container_title": "Atmospheric Chemistry and Physics", 
  "language": "eng", 
  "title": "Analysis code for paper: Changes in clouds and thermodynamics under solar geoengineering and implications for required solar reduction", 
  "issued": {
    "date-parts": [
      [
        2018, 
        8, 
        3
      ]
    ]
  }, 
  "abstract": "<p>Analysis and plotting scripts&nbsp;for paper by R.D. Russotto and T.P. Ackerman in&nbsp;<em>Atmos. Chem. Phys.</em>&nbsp;special issue on the Geoengineering Model Intercomparison Project.</p>\n\n<p>DOI for paper:&nbsp;<a href=\"https://doi.org/10.5194/acp-2018-345\">10.5194/acp-2018-345</a></p>\n\n<p>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 &quot;convert_sigma_to_pres&quot;&nbsp;algorithm by Dan Vimont, available at&nbsp;<a href=\"http://www.aos.wisc.edu/~dvimont/matlab/\">http://www.aos.wisc.edu/~dvimont/matlab/</a>.</p>\n\n<p>If you use any of this code, please acknowledge where it came from.</p>\n\n<p>Python scripts were run using Python 2.7.9. Versions of packages used:&nbsp;<br>\n-Matplotlib 1.5.1&nbsp;<br>\n-NumPy 1.8.2&nbsp;<br>\n-NetCDF4 1.1.0</p>\n\n<p>&nbsp;</p>\n\n<p>Which scripts make which figures in the paper:</p>\n\n<p><strong>Figure 1:&nbsp;</strong><br>\nisG1ReductionCorrelatedWithECS.py</p>\n\n<p><strong>Figure 2:&nbsp;</strong><br>\ntaZonalMeanProfiles.py</p>\n\n<p><strong>Figure 3:&nbsp;</strong><br>\nhusZonalMeanProfiles.py</p>\n\n<p><strong>Figure 4:&nbsp;</strong><br>\ncloudFractionZonalMeanProfiles.py</p>\n\n<p><strong>Figure 5:&nbsp;</strong><br>\nmultiModelMeanCloudsV2.py</p>\n\n<p><strong>Figure 6:&nbsp;</strong><br>\nmultiModelMeanPredictorsV2.py</p>\n\n<p><strong>Figure 7:&nbsp;</strong><br>\nmultiModelMeanAPRP.py</p>\n\n<p><strong>Figures 8, S9, S10, S11:&nbsp;</strong><br>\nanalyzeKernelResults.py</p>\n\n<p><strong>Figures 9, S12:&nbsp;</strong><br>\nmapLWCRE.py</p>\n\n<p><strong>Figures 10, 11:&nbsp;</strong><br>\nbarGraphsV2.py</p>\n\n<p><strong>Figures S1, S2, S3:&nbsp;</strong><br>\ncloudFractionMaps.py</p>\n\n<p><strong>Figures S4, S5:&nbsp;</strong><br>\nlowCloudPredictorMaps.py</p>\n\n<p><strong>Figures S6, S7, S8:&nbsp;</strong><br>\nscriptUsingAPRPonGeoMIP.py</p>\n\n<p><strong>Figure S13:</strong><br>\nrapidVsFeedbackAPRP.py</p>\n\n<p><strong>Other scripts and modules that the above scripts depend on:&nbsp;</strong><br>\nAPRP.py&nbsp;<br>\ncalculateClimatologiesForRadiativeKernels.py&nbsp;<br>\ncorrectCESM_rlut.py&nbsp;<br>\nfind_rlut_correction.py&nbsp;<br>\ngeomipFunctions.py&nbsp;<br>\nsaveModelLatsLons.py&nbsp;<br>\nzonalMeanCloudFraction_CSIRO.py&nbsp;<br>\nzonalMeanCloudFraction_HadGEM2-ES.py&nbsp;</p>\n\n<p>&nbsp;</p>\n\n<p>A standalone version of the APRP code can be found at&nbsp;<a href=\"https://github.com/rdrussotto/pyAPRP\">https://github.com/rdrussotto/pyAPRP</a>, with further documentation.</p>", 
  "author": [
    {
      "family": "Russotto, Rick"
    }
  ], 
  "type": "article", 
  "id": "1328272"
}