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Training Early­Career Polar Weather and Climate Researchers

Tummon, F; Day, J; Svensson, G


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  <identifier identifierType="URL">https://zenodo.org/record/1341815</identifier>
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    <creator>
      <creatorName>Tummon, F</creatorName>
      <givenName>F</givenName>
      <familyName>Tummon</familyName>
      <affiliation>Arctic University of Norway, Tromsø</affiliation>
    </creator>
    <creator>
      <creatorName>Day, J</creatorName>
      <givenName>J</givenName>
      <familyName>Day</familyName>
      <affiliation>ECMWF</affiliation>
    </creator>
    <creator>
      <creatorName>Svensson, G</creatorName>
      <givenName>G</givenName>
      <familyName>Svensson</familyName>
      <affiliation>Stockholm University</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Training Early­Career Polar Weather and Climate  Researchers</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <dates>
    <date dateType="Issued">2018-08-08</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Report</resourceType>
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    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1341815</alternateIdentifier>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1029/2018EO103475</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/applicate</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://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;The&amp;nbsp;&lt;a href="https://eos.org/project-updates/understanding-causes-and-effects-of-rapid-warming-in-the-arctic"&gt;polar prediction problem&lt;/a&gt;&amp;nbsp;is inherently multidisciplinary and requires cooperation across a wide community. Thus, an international group of agencies specifically designed a 10-day training course to bring together a wide group of students and lecturers to cover important topics related to polar prediction. Topics included satellite and conventional observation techniques; numerical modeling of the polar atmosphere, sea ice, and ocean; and data assimilation and&amp;nbsp;&lt;a href="https://eos.org/project-updates/better-tools-to-build-better-climate-models"&gt;model evaluation&lt;/a&gt;. The course included an innovative combination of theory lectures, practical exercises, and fieldwork, as well as a dedicated science communication program, each of which forms a crucial pillar of the prediction problem.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/727862/">727862</awardNumber>
      <awardTitle>Advanced Prediction in Polar regions and beyond: Modelling, observing system design and LInkages associated with ArctiC ClimATE change</awardTitle>
    </fundingReference>
  </fundingReferences>
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