<?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>2026-06-03T13:38:26Z</responseDate><request identifier="10.35097/415" metadataPrefix="datacite" verb="GetRecord">https://www.radar-service.eu/oai/OAIHandler</request><GetRecord><record><header><identifier>10.35097/415</identifier><datestamp>2025-10-21T06:06:10Z</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">10.35097/415</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>MUSICA IASI water isotopologue pair product (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">2020</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>
  </subjects>
  <resourceType resourceTypeGeneral="Dataset">Example data file (IASIAB_MUSICA_030201_L2pp_H2Oiso_v2_20180801_morning_global.nc), information for downloading the complete data set (ReadMe.pdf), and MD5 checksums of files on the bwDataArchive (*.md5)</resourceType>
  <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 global and multi-annual space-borne data set of tropospheric {H2O,δD} pairs based on radiance measurements from the nadir thermal infrared sensor IASI (Infrared Atmospheric Sounding Interferometer) onboard the Metop satellites of EUMETSAT (European Organisation for the Exploitation of Meteorological Satellites). The data set is an a posteriori processed extension of the MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water) IASI full product dataset (DOI:10.35097/408). The data are available for all cloud-free MUSICA IASI retrievals for the continuous time period between October 2014 and June 2019 and with a global coverage twice per day (local morning and evening overpass times). The data set contains the H2O and δD vertical profile together with estimations of the leading error components, and information on the vertical representativeness in form of the averaging kernels. The complete data set has a volume of about 7 TB and is archived at bwDataArchive (a long-term data archive for scientific data). Details on data format, access, and authenticity are given in the file "ReadMe.pdf". The files "*.md5" collect the MD5 checksums of the data in bwDataArchive and allow the verification of the authenticity of the data set provided via the download link. The file "IASIAB_MUSICA_030201_L2pp_H2Oiso_v2_20180801_morning_global.nc" is an example of the data set and contains all morning data of 01 August 2018.</description>
    <description descriptionType="Methods">Metop IASI</description>
    <description descriptionType="Other">Link to full data set download (https://www.imk-asf.kit.edu/english/musica-iasi-h2oiso-v2.php)</description>
    <description descriptionType="Other">This product is an extension to the MUSICA IASI full retrieval standard product (DOI:10.35097/408)</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>2,4 GB</size>
  </sizes>
  <formats>
    <format>application/x-tar</format>
  </formats>
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