July 10, 2021 Dataset Open Access

Deng, Zhu; Ciais, Philippe; Tzompa-Sosa, Zitely; Saunois, Marielle; Chevallier, Frédéric; Tan, Chang; Sun, Taochun; Ke, Piyu; Cui, Yanan; Liu, Zhu

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  <identifier identifierType="DOI">10.5281/zenodo.5089799</identifier>
  <creators>
    <creator>
      <creatorName>Deng, Zhu</creatorName>
      <givenName>Zhu</givenName>
      <familyName>Deng</familyName>
      <affiliation>Department of Earth System Science, Tsinghua University, Beijing, China</affiliation>
    </creator>
    <creator>
      <creatorName>Ciais, Philippe</creatorName>
      <givenName>Philippe</givenName>
      <familyName>Ciais</familyName>
      <affiliation>Laboratoire des Sciences du Climat et de l'Environnement/ IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, , 91191 Gif-sur-Yvette, France</affiliation>
    </creator>
    <creator>
      <creatorName>Tzompa-Sosa, Zitely</creatorName>
      <givenName>Zitely</givenName>
      <familyName>Tzompa-Sosa</familyName>
      <affiliation>Laboratoire des Sciences du Climat et de l'Environnement/ IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, , 91191 Gif-sur-Yvette, France</affiliation>
    </creator>
    <creator>
      <creatorName>Saunois, Marielle</creatorName>
      <givenName>Marielle</givenName>
      <familyName>Saunois</familyName>
      <affiliation>Laboratoire des Sciences du Climat et de l'Environnement/ IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, , 91191 Gif-sur-Yvette, France</affiliation>
    </creator>
    <creator>
      <creatorName>Chevallier, Frédéric</creatorName>
      <givenName>Frédéric</givenName>
      <familyName>Chevallier</familyName>
      <affiliation>Laboratoire des Sciences du Climat et de l'Environnement/ IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, , 91191 Gif-sur-Yvette, France</affiliation>
    </creator>
    <creator>
      <creatorName>Tan, Chang</creatorName>
      <givenName>Chang</givenName>
      <familyName>Tan</familyName>
      <affiliation>Department of Earth System Science, Tsinghua University, Beijing, China</affiliation>
    </creator>
    <creator>
      <creatorName>Sun, Taochun</creatorName>
      <givenName>Taochun</givenName>
      <familyName>Sun</familyName>
      <affiliation>Department of Earth System Science, Tsinghua University, Beijing, China</affiliation>
    </creator>
    <creator>
      <creatorName>Ke, Piyu</creatorName>
      <givenName>Piyu</givenName>
      <familyName>Ke</familyName>
      <affiliation>Department of Earth System Science, Tsinghua University, Beijing, China</affiliation>
    </creator>
    <creator>
      <creatorName>Cui, Yanan</creatorName>
      <givenName>Yanan</givenName>
      <familyName>Cui</familyName>
      <affiliation>Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, China</affiliation>
    </creator>
    <creator>
      <creatorName>Liu, Zhu</creatorName>
      <givenName>Zhu</givenName>
      <familyName>Liu</familyName>
      <affiliation>Department of Earth System Science, Tsinghua University, Beijing, China</affiliation>
    </creator>
  </creators>
  <titles>
    <title>GHG data from inverse models and UNFCCC national inventories v0.1</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <dates>
    <date dateType="Issued">2021-07-10</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5089799</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5089798</relatedIdentifier>
  </relatedIdentifiers>
  <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;&lt;strong&gt;GHG (CO&lt;sub&gt;2&lt;/sub&gt;, CH&lt;sub&gt;4&lt;/sub&gt;, N&lt;sub&gt;2&lt;/sub&gt;O) data from inverse models and UNFCCC national inventories&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;This&amp;nbsp;dataset contains 5 datasets, including GHG data from inverse models and UNFCCC national inventories in the top emitter countries:&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;CO2_inversion_1990-2019&lt;/strong&gt;: annual CO&lt;sub&gt;2&lt;/sub&gt; flux from&amp;nbsp;from 6 inversion models&amp;nbsp;in three sectors:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;&amp;#39;land flux (all land)&amp;#39; -&amp;gt;&amp;nbsp;land flux from all land&amp;nbsp;&lt;/li&gt;
	&lt;li&gt;&amp;#39;land flux (managed land)&amp;#39; -&amp;gt; land flux from managed land&lt;/li&gt;
	&lt;li&gt;&amp;#39;land flux (managed land + lateral adjustment)&amp;#39; -&amp;gt; land flux from managed land by adjusting the lateral flux&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;- &lt;strong&gt;CH4_inversion_2000-2017&lt;/strong&gt;: CH&lt;sub&gt;4&lt;/sub&gt;&amp;nbsp;flux from&amp;nbsp;from 10 in-situ&amp;nbsp;inversion (2000-2017) and 11 satellite inversion (2010-2017)&amp;nbsp;models from four sectors:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;&amp;#39;anthropogenic (method x)&amp;#39; -&amp;gt; anthropogenic emissions from managed land. x could be 1, 2, 3.1 and 3.2, representing different methods to calculate the emissions in this sector:&lt;/li&gt;
	&lt;li&gt;&amp;#39;fossil&amp;#39; -&amp;gt; emissions from the fossil sector&lt;/li&gt;
	&lt;li&gt;&amp;#39;agriculture &amp;amp; waste&amp;#39; -&amp;gt; emissions from the agriculture and waste&amp;nbsp;sector combined&lt;/li&gt;
	&lt;li&gt;&amp;#39;biomass burning&amp;#39; -&amp;gt; emissions from biomass burning&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;- &lt;strong&gt;N2O_inversion_1997-2016&lt;/strong&gt;: anthropogenic N&lt;sub&gt;2&lt;/sub&gt;O emissions from&amp;nbsp;from 3 models.&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Inventory_1990-2019&lt;/strong&gt;: inventory data collecting from UNFCCC national inventories. The classification of sectors is corresponding with the inversion data files for each gas specie.&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Inventory_1990-2019_IPCC&lt;/strong&gt;:&amp;nbsp;inventory data collecting from UNFCCC national inventories in IPCC category.&lt;/p&gt;

&lt;ul&gt;
&lt;/ul&gt;</description>
  </descriptions>
</resource>