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  <identifier identifierType="DOI">10.18453/rosdok_id00005038</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Wolff, Marti</creatorName>
      <givenName>Marti</givenName>
      <familyName>Wolff</familyName>
    </creator>
  </creators>
  <titles>
    <title>The potential of the Baltic Sea for seasonal to decadal (S2D) predictability</title>
  </titles>
  <publisher>Universität Rostock</publisher>
  <publicationYear>2025</publicationYear>
  <resourceType resourceTypeGeneral="Text" />
  <subjects>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">500 Natural sciences</subject>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">530 Physics</subject>
  </subjects>
  <dates>
    <date dateType="Created">2025</date>
  </dates>
  <language>en</language>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="PURL">https://purl.uni-rostock.de/rosdok/id00005038</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="URN">urn:nbn:de:gbv:28-rosdok_id00005038-3</alternateIdentifier>
  </alternateIdentifiers>
  <descriptions>
    <description descriptionType="Abstract">On the potential for seasonal to decadal (S2D) predictions for Baltic Sea physics. MOM6 was used to compute a large ensemble of the Baltic Sea. The ensemble was analyzed regarding predictability timescales of salinity, temperature and ice cover. Therefore memory timescales of these variables were identified and an attempt was made to predict future forcing on the Sea using a novel subsampling method.</description>
  </descriptions>
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