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Annual minima and maxima of present day and future discharge, derived from PCR-GLOBWB

Wanders, Niko; Van der Wiel, Karin


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  <identifier identifierType="DOI">10.5281/zenodo.2536396</identifier>
  <creators>
    <creator>
      <creatorName>Wanders, Niko</creatorName>
      <givenName>Niko</givenName>
      <familyName>Wanders</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-7102-5454</nameIdentifier>
      <affiliation>Utrecht University, Department of Physical Geography</affiliation>
    </creator>
    <creator>
      <creatorName>Van der Wiel, Karin</creatorName>
      <givenName>Karin</givenName>
      <familyName>Van der Wiel</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9365-5759</nameIdentifier>
      <affiliation>Royal Netherlands Meteorological Institute, KNMI</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Annual minima and maxima of present day and future discharge, derived from PCR-GLOBWB</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>Flood, Drought, 2C warming, PCR-GLOBWB, EC-EARTH</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-01-09</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2536396</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2536395</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://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;Global dataset of annual minima and maxima for major river system in the world. Dataset provides the present day and 2C warming simulation derived from a combination of the Global Hydrological Model, PCR-GLOBWB (https://doi.org/10.5194/gmd-11-2429-2018) and the EC-EARTH Global Climate Model (https://doi.org/10.1007/s00382-011-1228-5). The large-ensemble dataset is part of the HiWAVES3 project (https://www.knmi.nl/research/weather-climate-models/projects/hiwaves3)&lt;/p&gt;</description>
  </descriptions>
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