2019•Frontiers in Marine ScienceOpen access

Synthesis of Ocean Observations Using Data Assimilation for Operational, Real-Time and Reanalysis Systems: A More Complete Picture of the State of the Ocean

Andrew M. Moore, Matthew James Martin, Santha Akella, Hernan G. Arango, Magdalena Balmaseda, Laurent Bertino, Stefano Ciavatta, Bruce D. Cornuelle, Jim Cummings, Sergey Frolov, Pierre F. J. Lermusiaux, Paolo Oddo, Peter R. Oke, Andrea Storto, Anna Teruzzi, Arthur Vidard, Anthony Weaver

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Abstract

Ocean data assimilation is increasingly recognized as crucial for the accuracy of real-time ocean prediction systems. Here, the current status of ocean data assimilation in support of the operational demands of analysis and forecasting is reviewed, focusing on the methods currently adopted in operational prediction systems. Significant challenges associated with the most commonly employed approaches are identified and discussed. Overarching issues faced by ocean data assimilation in general 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 presented.

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Ocean data assimilation is increasingly recognized as crucial for the accuracy of real-time ocean prediction systems. Here, the current status of ocean data assimilation in support of the operational demands of analysis and forecasting is reviewed, focusing on the methods currently adopted in operational prediction systems. Significant challenges associated with the most commonly employed approaches are identified and discussed. Overarching issues faced by ocean data assimilation in general 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 presented.

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Available abstract

Ocean data assimilation is increasingly recognized as crucial for the accuracy of real-time ocean prediction systems. Here, the current status of ocean data assimilation in support of the operational demands of analysis and forecasting is reviewed, focusing on the methods currently adopted in operational prediction systems. Significant challenges associated with the most commonly employed approaches are identified and discussed. Overarching issues faced by ocean data assimilation in general 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 presented.

Key concepts: Data assimilation, Ocean observations, Assimilation (phonology), Environmental science, Ocean current, Meteorology, Climatology, Computer science

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