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Synthesis of Ocean Observations Using Data Assimilation for Operational, Real-Time and Reanalysis Systems: A More Complete Picture of the State of the OceanOcean data assimilation is increasingly recognized as crucial for the accuracy of realtime ocean prediction systems and historical re-analyses. The current status of ocean data assimilation in support of the operational demands of analysis, forecasting and reanalysis is reviewed, focusing on methods currently adopted in operational and realtime prediction systems. Significant challenges associated with the most commonly employed approaches are identified and discussed. Overarching issues faced by ocean data assimilation are also addressed, and important future directions in response to scientific advances, evolving and forthcoming ocean observing systems and the needs of stakeholders and downstream applications are discussed.
Document ID
20190001018
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
External Source(s)
Authors
Andrew M. Moore
(University of California, Santa Cruz Santa Cruz, California, United States)
Matthew J. Martin
(University of Exeter Exeter, United Kingdom)
Santha Akella
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Hernan G. Arango
(Rutgers, The State University of New Jersey New Brunswick, New Jersey, United States)
Magdalena Balmaseda
(European Centre for Medium-Range Weather Forecasts Reading, United Kingdom)
Laurent Bertino
(Nansen International Environmental and Remote Sensing Center Saint Petersburg, Russia)
Stefano Ciavatta
(Plymouth Marine Laboratory Plymouth, United Kingdom)
Bruce Cornuelle
(Scripps Institution of Oceanography La Jolla, California, United States)
Jim Cummings
(IM Systems Group Inc. College Park, MD, United States)
Sergey Frolov
(Naval Research Laboratory)
Pierre Lermusiaux
(Massachusetts Institute of Technology Cambridge, Massachusetts, United States)
Paolo Oddo
(NATO Centre for Maritime Research and Experimentation La Spezia, Italy)
Peter R. Oke
(Commonwealth Scientific and Industrial Research Organisation Canberra, Australian Capital Territory, Australia)
Andrea Storto
(NATO Centre for Maritime Research and Experimentation La Spezia, Italy)
Anna Teruzzi
(Istituto Nazionale di Oceanografia e Geofisica Sperimentale (OGS) Sgonico, Italy)
Arthur Vidard
(Université Grenoble Alpes Grenoble, France)
Anthony T. Weaver
(Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique Toulouse, France)
Date Acquired
February 27, 2019
Publication Date
March 5, 2019
Publication Information
Publication: Frontiers in Marine Science
Publisher: Frontiers Media
Volume: 6
Issue: 90
Issue Publication Date: March 5, 2019
e-ISSN: 2296-7745
Subject Category
Oceanography
Report/Patent Number
GSFC-E-DAA-TN65855
E-ISSN: 2296-7745
Report Number: GSFC-E-DAA-TN65855
Funding Number(s)
PROJECT: SCMD-EarthScienceSystem_802678
CONTRACT_GRANT: ONR-N0001412WX20323
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Keywords
modeling
Data assimilation
ensembles
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