There is a newer version of this record available.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


DCAT Export

<?xml version='1.0' encoding='utf-8'?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:adms="http://www.w3.org/ns/adms#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:dctype="http://purl.org/dc/dcmitype/" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:duv="http://www.w3.org/ns/duv#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:frapo="http://purl.org/cerif/frapo/" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:gsp="http://www.opengis.net/ont/geosparql#" xmlns:locn="http://www.w3.org/ns/locn#" xmlns:org="http://www.w3.org/ns/org#" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:prov="http://www.w3.org/ns/prov#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:schema="http://schema.org/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#" xmlns:wdrs="http://www.w3.org/2007/05/powder-s#">
  <rdf:Description rdf:about="https://doi.org/10.5281/zenodo.1328272">
    <rdf:type rdf:resource="http://www.w3.org/ns/dcat#Dataset"/>
    <dct:type rdf:resource="http://purl.org/dc/dcmitype/Software"/>
    <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://doi.org/10.5281/zenodo.1328272</dct:identifier>
    <foaf:page rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
    <dct:creator>
      <rdf:Description rdf:about="http://orcid.org/0000-0002-7981-735X">
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">0000-0002-7981-735X</dct:identifier>
        <foaf:name>Russotto, Rick</foaf:name>
        <foaf:givenName>Rick</foaf:givenName>
        <foaf:familyName>Russotto</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>University of Washington</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:title>Analysis code for paper: Changes in clouds and thermodynamics under solar geoengineering and implications for required solar reduction</dct:title>
    <dct:publisher>
      <foaf:Agent>
        <foaf:name>Zenodo</foaf:name>
      </foaf:Agent>
    </dct:publisher>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2018</dct:issued>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2018-08-03</dct:issued>
    <dct:language rdf:resource="http://publications.europa.eu/resource/authority/language/ENG"/>
    <owl:sameAs rdf:resource="https://zenodo.org/record/1328272"/>
    <adms:identifier>
      <adms:Identifier>
        <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/1328272</skos:notation>
        <adms:schemeAgency>url</adms:schemeAgency>
      </adms:Identifier>
    </adms:identifier>
    <dct:relation rdf:resource="https://doi.org/10.5194/acp-2018-345"/>
    <dct:isVersionOf rdf:resource="https://doi.org/10.5281/zenodo.1328271"/>
    <dct:description>&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;</dct:description>
    <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/>
    <dct:accessRights>
      <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess">
        <rdfs:label>Open Access</rdfs:label>
      </dct:RightsStatement>
    </dct:accessRights>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>35989</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/analyzeKernelResults.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>26753</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/APRP.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>21229</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/barGraphsV2.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>26427</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/calculateClimatologiesForRadiativeKernels.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>26594</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/cloudFractionMaps.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>12307</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/cloudFractionZonalMeanProfiles.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>2596</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/correctCESM_rlut.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>5382</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/find_rlut_correction.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>38039</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/geomipFunctions.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>12218</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/husZonalMeanProfiles.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>13395</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/isG1ReductionCorrelatedWithECS.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>70</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/LICENSE"/>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>25957</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/lowCloudPredictorMaps.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>26057</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/mapLWCRE.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>16158</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/multiModelMeanAPRP.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>12329</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/multiModelMeanCloudsV2.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>7983</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/multiModelMeanPredictorsV2.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>21370</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/rapidVsFeedbackAPRP.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>2374</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/saveModelLatsLons.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>46613</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/scriptUsingAPRPonGeoMIP.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>12377</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/taZonalMeanProfiles.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>16718</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/zonalMeanCloudFraction_CSIRO.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.1328272"/>
        <dcat:byteSize>25196</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/1328272/files/zonalMeanCloudFraction_HadGEM2-ES.py"/>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
  </rdf:Description>
</rdf:RDF>
229
473
views
downloads
All versions This version
Views 229167
Downloads 473362
Data volume 10.2 MB7.5 MB
Unique views 198152
Unique downloads 200136

Share

Cite as