January 17, 2021 Dataset Open Access

Robin Lamboll; Piers Forster; Joeri Rogelj

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  <identifier identifierType="DOI">10.5281/zenodo.4446167</identifier>
  <creators>
    <creator>
      <creatorName>Robin Lamboll</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-8410-037X</nameIdentifier>
      <affiliation>Imperial College</affiliation>
    </creator>
    <creator>
      <creatorName>Piers Forster</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-6078-0171</nameIdentifier>
      <affiliation>University of Leeds</affiliation>
    </creator>
    <creator>
      <creatorName>Joeri Rogelj</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2056-9061</nameIdentifier>
      <affiliation>Imperial College</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Monthly aerosol emissions and GHG concentration projections from 2020-2025: modified SSP2-4.5 to account for COVID-19 impacts on sector activity</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>COVID-19, NOx aviation emissions, aerosol emissions</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-01-17</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4446167</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4446166</relatedIdentifier>
  </relatedIdentifiers>
  <version>5.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This repository holds the netcdf files for emissions and concentrations projected by the scenario SSP2-4.5, from the Scenario4MIPs database (&lt;a href="https://esgf-node.llnl.gov/search/input4mips/"&gt;https://esgf-node.llnl.gov/search/input4mips/&lt;/a&gt;), modified by the country and sector activity levels associated with lockdown, projected out for 5&amp;nbsp;years after 2020. The details of these activity estimates are available from&amp;nbsp;&lt;a href="https://github.com/Priestley-Centre/COVID19_emissions"&gt;https://github.com/Priestley-Centre/COVID19_emissions&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;The&amp;nbsp;methodology behind these calculations is based on&amp;nbsp;&lt;a href="https://github.com/Rlamboll/modify_COVID19_netCDF_Emissions/"&gt;https://github.com/Rlamboll/modify_COVID19_netCDF_Emissions/tree/endof2020&lt;/a&gt;, a slight modification of the approach used in&amp;nbsp;&lt;a href="https://zenodo.org/record/3947917#.XxR_qyhKhPZ"&gt;https://zenodo.org/record/3947917#.XxR_qyhKhPZ&lt;/a&gt;&amp;nbsp;to have a different timeframe.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;Funding was provided by the European Union&amp;rsquo;s Horizon 2020 Research and Innovation Programme under grant agreement nos. 820829 (CONSTRAIN)&amp;nbsp;&lt;a href="http://constrain-eu.org/"&gt;http://constrain-eu.org/&lt;/a&gt;&amp;nbsp;&lt;/p&gt;</description>
    <description descriptionType="Other">This database is labelled as v5.0 by correspondence to the family of databases around https://zenodo.org/record/3957826. It uses historical data available until the end of 2020.</description>
    <description descriptionType="Other">{"references": ["10.5281/zenodo.3957826"]}</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/820829/">820829</awardNumber>
      <awardTitle>Constraining uncertainty of multi decadal climate projections</awardTitle>
    </fundingReference>
  </fundingReferences>
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