August 3, 2018 Software Open Access

Russotto, Rick

DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.1328272</identifier>
  <creators>
    <creator>
      <creatorName>Russotto, Rick</creatorName>
      <givenName>Rick</givenName>
      <familyName>Russotto</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-7981-735X</nameIdentifier>
      <affiliation>University of Washington</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Analysis code for paper: Changes in clouds and thermodynamics under solar geoengineering and implications for required solar reduction</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <dates>
    <date dateType="Issued">2018-08-03</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1328272</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo">10.5194/acp-2018-345</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1328271</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Analysis and plotting scripts&amp;nbsp;for paper by R.D. Russotto and T.P. Ackerman in&amp;nbsp;&lt;em&gt;Atmos. Chem. Phys.&lt;/em&gt;&amp;nbsp;special issue on the Geoengineering Model Intercomparison Project.&lt;/p&gt;

&lt;p&gt;DOI for paper:&amp;nbsp;&lt;a href="https://doi.org/10.5194/acp-2018-345"&gt;10.5194/acp-2018-345&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;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 &amp;quot;convert_sigma_to_pres&amp;quot;&amp;nbsp;algorithm by Dan Vimont, available at&amp;nbsp;&lt;a href="http://www.aos.wisc.edu/~dvimont/matlab/"&gt;http://www.aos.wisc.edu/~dvimont/matlab/&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;If you use any of this code, please acknowledge where it came from.&lt;/p&gt;

&lt;p&gt;Python scripts were run using Python 2.7.9. Versions of packages used:&amp;nbsp;&lt;br&gt;
-Matplotlib 1.5.1&amp;nbsp;&lt;br&gt;
-NumPy 1.8.2&amp;nbsp;&lt;br&gt;
-NetCDF4 1.1.0&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;Which scripts make which figures in the paper:&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Figure 1:&amp;nbsp;&lt;/strong&gt;&lt;br&gt;
isG1ReductionCorrelatedWithECS.py&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Figure 2:&amp;nbsp;&lt;/strong&gt;&lt;br&gt;
taZonalMeanProfiles.py&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Figure 3:&amp;nbsp;&lt;/strong&gt;&lt;br&gt;
husZonalMeanProfiles.py&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Figure 4:&amp;nbsp;&lt;/strong&gt;&lt;br&gt;
cloudFractionZonalMeanProfiles.py&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Figure 5:&amp;nbsp;&lt;/strong&gt;&lt;br&gt;
multiModelMeanCloudsV2.py&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Figure 6:&amp;nbsp;&lt;/strong&gt;&lt;br&gt;
multiModelMeanPredictorsV2.py&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Figure 7:&amp;nbsp;&lt;/strong&gt;&lt;br&gt;
multiModelMeanAPRP.py&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Figures 8, S9, S10, S11:&amp;nbsp;&lt;/strong&gt;&lt;br&gt;
analyzeKernelResults.py&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Figures 9, S12:&amp;nbsp;&lt;/strong&gt;&lt;br&gt;
mapLWCRE.py&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Figures 10, 11:&amp;nbsp;&lt;/strong&gt;&lt;br&gt;
barGraphsV2.py&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Figures S1, S2, S3:&amp;nbsp;&lt;/strong&gt;&lt;br&gt;
cloudFractionMaps.py&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Figures S4, S5:&amp;nbsp;&lt;/strong&gt;&lt;br&gt;
lowCloudPredictorMaps.py&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Figures S6, S7, S8:&amp;nbsp;&lt;/strong&gt;&lt;br&gt;
scriptUsingAPRPonGeoMIP.py&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Figure S13:&lt;/strong&gt;&lt;br&gt;
rapidVsFeedbackAPRP.py&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Other scripts and modules that the above scripts depend on:&amp;nbsp;&lt;/strong&gt;&lt;br&gt;
APRP.py&amp;nbsp;&lt;br&gt;
calculateClimatologiesForRadiativeKernels.py&amp;nbsp;&lt;br&gt;
correctCESM_rlut.py&amp;nbsp;&lt;br&gt;
find_rlut_correction.py&amp;nbsp;&lt;br&gt;
geomipFunctions.py&amp;nbsp;&lt;br&gt;
saveModelLatsLons.py&amp;nbsp;&lt;br&gt;
zonalMeanCloudFraction_CSIRO.py&amp;nbsp;&lt;br&gt;
zonalMeanCloudFraction_HadGEM2-ES.py&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;A standalone version of the APRP code can be found at&amp;nbsp;&lt;a href="https://github.com/rdrussotto/pyAPRP"&gt;https://github.com/rdrussotto/pyAPRP&lt;/a&gt;, with further documentation.&lt;/p&gt;</description>
  </descriptions>
</resource>