<?xml version="1.0" encoding="UTF-8" ?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-20T18:14:59Z</responseDate><request identifier="10.35097/690" metadataPrefix="datacite" verb="GetRecord">https://www.radar-service.eu/oai/OAIHandler</request><GetRecord><record><header><identifier>10.35097/690</identifier><datestamp>2025-10-21T06:06:09Z</datestamp><setSpec>IMK</setSpec><setSpec>radar4kit</setSpec></header><metadata><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 https://schema.datacite.org/meta/kernel-4.6/metadata.xsd">
  <identifier identifierType="DOI">10.35097/690</identifier>
  <creators>
    <creator>
      <creatorName>Schneider, Matthias</creatorName>
      <givenName>Matthias</givenName>
      <familyName>Schneider</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-8452-0035</nameIdentifier>
      <affiliation>Karlsruhe Institute of Technology (KIT)</affiliation>
    </creator>
    <creator>
      <creatorName>Ertl, Benjamin</creatorName>
      <givenName>Benjamin</givenName>
      <familyName>Ertl</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1431-2243</nameIdentifier>
      <affiliation>Karlsruhe Institute of Technology (KIT)</affiliation>
    </creator>
  </creators>
  <titles>
    <title>MUSICA IASI / RemoTeC TROPOMI fused methane data set (version 2.0)</title>
  </titles>
  <publisher>Institute of Meteorology and Climate Research, Atmospheric Trace Gases and Remote Sensing (IMK-ASF), Karlsruhe Institute of Technology (KIT)</publisher>
  <dates>
    <date dateType="Created">2022</date>
  </dates>
  <publicationYear>2022</publicationYear>
  <subjects>
    <subject>Geological Science</subject>
    <subject>Atmosphere</subject>
    <subject>Remote Sensing, Satellite, Metop, IASI, Sentinel-5 Precursor, TROPOMI, methane, CH4, total column, troposphere, UTLS, data fusion</subject>
  </subjects>
  <resourceType resourceTypeGeneral="Dataset"/>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <rights schemeURI="https://spdx.org/licenses/" rightsIdentifierScheme="SPDX" rightsIdentifier="CC-BY-4.0" rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
  </rightsList>
  <contributors>
    <contributor contributorType="RightsHolder">
      <contributorName>Matthias Schneider</contributorName>
    </contributor>
    <contributor contributorType="RightsHolder">
      <contributorName>Benjamin Ertl</contributorName>
    </contributor>
    <contributor contributorType="RightsHolder">
      <contributorName>Karlsruhe Institute of Technology (KIT)</contributorName>
    </contributor>
  </contributors>
  <descriptions>
    <description descriptionType="Abstract">This version 2.0 MUSICA IASI / RemoTeC TROPOMI fused methane data set contains total (ground – top of atmosphere, variable &lt;xch4&gt;), tropospheric (ground – about 6 km a.s.l., variable &lt;troxch4&gt;), and UTLS (upper tropospheric/lower stratospheric, about 6 – 20 km a.s.l., variable &lt;utsxch4&gt;) column-averaged dry-air mole fractions of methane (CH4). The data are obtained by combining the level 2 CH4 profiles and XCH4 total columns (generated from the IASI TIR spectra and the TROPOMI NIR/SWIR spectra, respectively). The level 2 CH4 profiles were generated by the MUSICA processor (version 3.3.0) and the level 2 XCH4 total columns by the RemoTeC processor (operational processing algorithm version 2.3.1, this version includes data over ocean in glint mode). The combination is realized by means of a Kalman filter that uses the MUSICA IASI data as the background and the TROPOMI data as the new observation. Details of the combination method, the IASI and TROPOMI collocation requirements, and the data quality are described in Schneider et al. (2022, https://doi.org/10.5194/amt-15-4339-2022). The data cover an example period for northern hemispheric winter and summer conditions (01 January – 30 January 2020 and 01 July – 30 July 2020, respectively).  The only difference of this version 2.0 to the version 1.0 of the fused MUSICA IASI / RemoTeC TROPOMI data set (accessible at https://doi.org/10.35097/689) is the use of TROPOMI RemoTeC operational processing version 2.3.1 (instead of version 2.2.0), which offers among others additional data availability over ocean.</description>
    <description descriptionType="Methods">Metop IASI and Sentinel-5 Precursor TROPOMI</description>
    <description descriptionType="Other">The data fusion method is described in detail in Schneider et al. (2022, https://doi.org/10.5194/amt-15-4339-2022). The used the RemoTeC TROPOMI XCH4 data (operational processing algorithm version 2.3.1) are described in Lorente et al. (2022, https://doi.org/10.5194/amt-2022-197). The used MUSICA IASI CH4 profile data (processing version 3.3.0) are described in Schneider et al. (2022, https://doi.org/10.5194/essd-14-709-2022).</description>
  </descriptions>
  <language>
          en
        </language>
  <fundingReferences>
    <fundingReference>
      <funderName>Deutsche Forschungsgemeinschaft</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">501100001659</funderIdentifier>
      <awardNumber awardURI="https://gepris.dfg.de/gepris/projekt/290612604">290612604</awardNumber>
      <awardTitle>MOTIV</awardTitle>
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    <fundingReference>
      <funderName>Deutsche Forschungsgemeinschaft</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">501100001659</funderIdentifier>
      <awardNumber awardURI="https://gepris.dfg.de/gepris/projekt/416767181">416767181</awardNumber>
      <awardTitle>TEDDY</awardTitle>
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    <fundingReference>
      <funderName>European Research Council</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">501100000781</funderIdentifier>
      <awardNumber awardURI="">ERC Grant Agreement number 256961</awardNumber>
      <awardTitle>MUSICA</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>Ministerio de Economía y Competitividad</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">501100003329</funderIdentifier>
      <awardNumber awardURI="">CGL2016-80688-P</awardNumber>
      <awardTitle>INMENSE</awardTitle>
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    <fundingReference>
      <funderName>Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">501100003542</funderIdentifier>
      <awardTitle>ForHLR supercomputer</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>Bundesministerium für Bildung und Forschung</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">501100002347</funderIdentifier>
      <awardTitle>ForHLR supercomputer</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>Dutch National e-Infrastructure with the support of the SURF cooperative</funderName>
      <funderIdentifier funderIdentifierType="Other">SURF cooperative</funderIdentifier>
    </fundingReference>
  </fundingReferences>
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    <size>12,0 GB</size>
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