Journal article Open Access

Silicone

Lamboll, Robin D.; Nicholls, Zebedee R. J; Kikstra, Jarmo S.


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  <identifier identifierType="DOI">10.5281/zenodo.3822259</identifier>
  <creators>
    <creator>
      <creatorName>Lamboll, Robin D.</creatorName>
      <givenName>Robin D.</givenName>
      <familyName>Lamboll</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-8410-037X</nameIdentifier>
      <affiliation>Imperial College</affiliation>
    </creator>
    <creator>
      <creatorName>Nicholls, Zebedee R. J</creatorName>
      <givenName>Zebedee R. J</givenName>
      <familyName>Nicholls</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4767-2723</nameIdentifier>
      <affiliation>University of Melbourne</affiliation>
    </creator>
    <creator>
      <creatorName>Kikstra, Jarmo S.</creatorName>
      <givenName>Jarmo S.</givenName>
      <familyName>Kikstra</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9405-1228</nameIdentifier>
      <affiliation>IIASA</affiliation>
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  </creators>
  <titles>
    <title>Silicone</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>IAM, infilling</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-05-12</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3822259</alternateIdentifier>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3822258</relatedIdentifier>
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  <version>v1.0.0</version>
  <rightsList>
    <rights rightsURI="https://opensource.org/licenses/BSD-3-Clause">BSD 3-Clause "New" or "Revised" License</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Silicone is&amp;nbsp;an open-source Python package which infers anthropogenic emissions of missing species based on other known emissions. For example, it can infer nitrous oxide emissions in one scenario based on carbon dioxide emissions from that scenario plus the relationship between nitrous oxide and carbon dioxide emissions in other scenarios. This broadens the range of IAMs available for exploring projections of future climate change and hence Silicone forms part of the open-source pipeline for assessments of the climate implications of IAM scenarios, led by the Integrated Assessment Modelling Consortium (IAMC).&lt;/p&gt;

&lt;p&gt;A paper describing the model in detail can be found at&amp;nbsp;https://gmd.copernicus.org/preprints/gmd-2020-138/ and more recent code developments can be found at&amp;nbsp;https://github.com/GranthamImperial/silicone&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</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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