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Synopsis of the ECCO Central Production Global Ocean and Sea-Ice State Estimate

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


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{
  "description": "<p>This note provides a brief synopsis of ECCO Version 4 Release 4 (R4), an updated edition to<br>\nthe global ocean state estimate described by Forget et al. (2015b, 2016) and Fukumori et al.<br>\n(2017). Release 4 is available at https://ecco.jpl.nasa.gov/drive/files/Version4/Release4.<br>\nAs of this writing, Version 4 represents the latest ocean state estimate of the Consortium for<br>\nEstimating the Circulation and Climate of the Ocean (ECCO) (Wunsch et al., 2009; Wunsch and<br>\nHeimbach, 2013) that synthesizes nearly all modern observations with an ocean circulation<br>\nmodel (MITgcm, originally described by Marshall et al., 1997) into coherent, physically<br>\nconsistent descriptions of the ocean&rsquo;s time-evolving state covering the era of satellite altimetry.<br>\nAmong its characteristics, Version 4 (Forget et al., 2015b; Release 1 [R1]) is the first multidecadal<br>\nECCO estimate (1992-2011) that is truly global, including the Arctic Ocean. Unlike<br>\nprevious versions, the model uses a nonlinear free surface formulation and real freshwater flux<br>\nboundary condition, permitting a more accurate simulation of sea level change. In addition to<br>\nestimating forcing and initial conditions as done in earlier analyses, the Version 4 estimate also<br>\nadjusts the model&rsquo;s mixing parameters that enables an improved fit to observations (Forget et al.,<br>\n2015a). The Version 4 synthesis also incorporates a diffusion operator in evaluating model-data<br>\nmisfits (Forget and Ponte, 2015) and controls (Weaver and Courtier, 2001), accounting for some<br>\nof the spatial correlation that exist among these elements.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "@type": "Person", 
      "name": "ECCO Consortium"
    }, 
    {
      "affiliation": "Jet Propulsion Laboratory, California Institute of Technology", 
      "@type": "Person", 
      "name": "Fukumori, Ichiro"
    }, 
    {
      "affiliation": "Jet Propulsion Laboratory, California Institute of Technology", 
      "@type": "Person", 
      "name": "Wang, Ou"
    }, 
    {
      "affiliation": "Jet Propulsion Laboratory, California Institute of Technology", 
      "@id": "https://orcid.org/0000-0001-6662-6346", 
      "@type": "Person", 
      "name": "Fenty, Ian"
    }, 
    {
      "affiliation": "Massachusetts Institute of Technology", 
      "@type": "Person", 
      "name": "Forget, Gael"
    }, 
    {
      "affiliation": "University of Texas at Austin", 
      "@type": "Person", 
      "name": "Heimbach, Patrick"
    }, 
    {
      "affiliation": "Atmospheric and Environmental Research, Inc.", 
      "@type": "Person", 
      "name": "Ponte, Rui M."
    }
  ], 
  "headline": "Synopsis of the ECCO Central Production Global Ocean and Sea-Ice State Estimate", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2020-04-24", 
  "url": "https://zenodo.org/record/3765929", 
  "version": "4 Release 4", 
  "keywords": [
    "ECCO", 
    "adjoint", 
    "estimation", 
    "oceanography"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3765929", 
  "@id": "https://doi.org/10.5281/zenodo.3765929", 
  "@type": "ScholarlyArticle", 
  "name": "Synopsis of the ECCO Central Production Global Ocean and Sea-Ice State Estimate"
}
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