February 10, 2021 Report Open Access

ECCO Consortium; Fukumori, Ichiro; Wang, Ou; Fenty, Ian; Forget, Gael; Heimbach, Patrick; Ponte, Rui M.

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  <identifier identifierType="DOI">10.5281/zenodo.4533349</identifier>
  <creators>
    <creator>
      <creatorName>ECCO Consortium</creatorName>
    </creator>
    <creator>
      <creatorName>Fukumori, Ichiro</creatorName>
      <givenName>Ichiro</givenName>
      <familyName>Fukumori</familyName>
      <affiliation>Jet Propulsion Laboratory, California Institute of Technology</affiliation>
    </creator>
    <creator>
      <creatorName>Wang, Ou</creatorName>
      <givenName>Ou</givenName>
      <familyName>Wang</familyName>
      <affiliation>Jet Propulsion Laboratory, California Institute of Technology</affiliation>
    </creator>
    <creator>
      <creatorName>Fenty, Ian</creatorName>
      <givenName>Ian</givenName>
      <familyName>Fenty</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6662-6346</nameIdentifier>
      <affiliation>Jet Propulsion Laboratory, California Institute of Technology</affiliation>
    </creator>
    <creator>
      <creatorName>Forget, Gael</creatorName>
      <givenName>Gael</givenName>
      <familyName>Forget</familyName>
      <affiliation>Massachusetts Institute of Technology</affiliation>
    </creator>
    <creator>
      <creatorName>Heimbach, Patrick</creatorName>
      <givenName>Patrick</givenName>
      <familyName>Heimbach</familyName>
      <affiliation>University of Texas at Austin</affiliation>
    </creator>
    <creator>
      <creatorName>Ponte, Rui M.</creatorName>
      <givenName>Rui M.</givenName>
      <familyName>Ponte</familyName>
      <affiliation>Atmospheric and Environmental Research, Inc.</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Synopsis of the ECCO Central Production Global Ocean and Sea-Ice State Estimate, Version 4 Release 4</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>ECCO</subject>
    <subject>adjoint</subject>
    <subject>estimation</subject>
    <subject>oceanography</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-02-10</date>
  </dates>
  <resourceType resourceTypeGeneral="Report"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4533349</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3765928</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ecco</relatedIdentifier>
  </relatedIdentifiers>
  <version>4 Release 4</version>
  <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;This note provides a brief synopsis of ECCO Version 4 Release 4 (R4), an updated edition to&lt;br&gt;
the global ocean state estimate described by Forget et al. (2015b, 2016) and Fukumori et al.&lt;br&gt;
(2017). Release 4 is available at https://ecco.jpl.nasa.gov/drive/files/Version4/Release4.&lt;br&gt;
As of this writing, Version 4 represents the latest ocean state estimate of the Consortium for&lt;br&gt;
Estimating the Circulation and Climate of the Ocean (ECCO) (Wunsch et al., 2009; Wunsch and&lt;br&gt;
Heimbach, 2013) that synthesizes nearly all modern observations with an ocean circulation&lt;br&gt;
model (MITgcm, originally described by Marshall et al., 1997) into coherent, physically&lt;br&gt;
consistent descriptions of the ocean&amp;rsquo;s time-evolving state covering the era of satellite altimetry.&lt;br&gt;
Among its characteristics, Version 4 (Forget et al., 2015b; Release 1 [R1]) is the first multidecadal&lt;br&gt;
ECCO estimate (1992-2011) that is truly global, including the Arctic Ocean. Unlike&lt;br&gt;
previous versions, the model uses a nonlinear free surface formulation and real freshwater flux&lt;br&gt;
boundary condition, permitting a more accurate simulation of sea level change. In addition to&lt;br&gt;
estimating forcing and initial conditions as done in earlier analyses, the Version 4 estimate also&lt;br&gt;
adjusts the model&amp;rsquo;s mixing parameters that enables an improved fit to observations (Forget et al.,&lt;br&gt;
2015a). The Version 4 synthesis also incorporates a diffusion operator in evaluating model-data&lt;br&gt;
misfits (Forget and Ponte, 2015) and controls (Weaver and Courtier, 2001), accounting for some&lt;br&gt;
of the spatial correlation that exist among these elements.&lt;/p&gt;</description>
  </descriptions>
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