<?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>2026-06-02T11:04:15Z</responseDate><request identifier="10.35097/495" metadataPrefix="datacite" verb="GetRecord">https://www.radar-service.eu/oai/OAIHandler</request><GetRecord><record><header><identifier>10.35097/495</identifier><datestamp>2025-10-21T06:06:12Z</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">10.35097/495</identifier>
  <creators>
    <creator>
      <creatorName>Diekmann, Christopher J.</creatorName>
      <givenName>Christopher J.</givenName>
      <familyName>Diekmann</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-8961-5241</nameIdentifier>
      <affiliation>Karlsruhe Institute of Technology (KIT)</affiliation>
    </creator>
    <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>Regular 1°x1° re-gridded MUSICA IASI water isotopologue pair dataset (a posteriori processing version 2)</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">2021</date>
  </dates>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>Geological Science</subject>
    <subject>Atmosphere</subject>
    <subject>Remote Sensing, Satellite</subject>
    <subject>Metop, IASI, MUSICA</subject>
    <subject>Atmospheric Composition, H2O, HDO, Water Vapour, Water Vapour Isotopologues</subject>
    <subject>Regular 1°x1° Horizontal Grid</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>Christopher J. Diekmann</contributorName>
    </contributor>
    <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 is a re-gridded Level-3 dataset of the MUSICA IASI water isotopologue pair product. It is based on the Level-2 datasets from the MUSICA IASI full retrieval (https://dx.doi.org/10.35097/408) and the a posteriori processed {H2O, δD} pairs (https://dx.doi.org/10.35097/415), which use the thermal nadir radiances measured by the IASI instrument aboard the Metop satellites. This Level-3 dataset consists of quality-filtered {H2O, δD} pair data re-gridded on a regular 1°x1° grid and interpolated on the fixed atmospheric altitude levels 3.0, 4.2 and 6.4 km above sea level. It provides H2O and δD (including their errors) as well as information about the atmospheric temperature and pressure and some metrics documenting the representativeness of the horizontally re-gridded data. The Level-3 data are provided globally and twice daily (morning and evening overpass times) and currently comprise the full period between October 2014 and December 2020 (leading to a data volume of about 22GB). Depending on available resources, this dataset will be updated to current measurements (for data availability updates please refer to the MUSICA IASI data web page https://www.imk-asf.kit.edu/english/musica-iasi-h2oiso-v2.php). Details on this dataset are summarized in the file "ReadMe.pdf". </description>
    <description descriptionType="Methods">Metop IASI</description>
    <description descriptionType="Other">Information on the data used for generating this Level 3 Product (the MUSICA IASI water isotopologue dataset) is given on the web page (https://www.imk-asf.kit.edu/english/musica-iasi-h2oiso-v2.php)</description>
    <description descriptionType="Other">The MUSICA IASI water isotopologue pair product is an extension to the MUSICA IASI full retrieval standard product (DOI:10.35097/408) and the MUSICA IASI MUSICA IASI water isotopologue pair product (a posteriori processing version 2) (DOI:10.35097/415)</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>
    </fundingReference>
    <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>
    </fundingReference>
    <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>
    </fundingReference>
    <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>
  </fundingReferences>
  <sizes>
    <size>21,5 GB</size>
  </sizes>
  <formats>
    <format>application/x-tar</format>
  </formats>
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