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    Advancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing System

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    MTT Strategy Manuscript revised and resubmitted FINAL with affiliation changes.pdf (463.3Kb)
    Date
    2017-04-19
    Author
    Wilkin, John L.  Concept link
    Rosenfeld, Leslie K.  Concept link
    Allen, Arthur  Concept link
    Baltes, Rebecca  Concept link
    Baptista, Antonio  Concept link
    He, Ruoying  Concept link
    Hogan, Patrick  Concept link
    Kurapov, Alexander  Concept link
    Mehra, Avichal  Concept link
    Quintrell, Josie  Concept link
    Schwab, David  Concept link
    Signell, Richard P.  Concept link
    Smith, Jane  Concept link
    Metadata
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    Citable URI
    https://hdl.handle.net/1912/9234
    As published
    https://doi.org/10.1080/1755876X.2017.1322026
    Keyword
     Coastal ocean; Modeling; Forecasting; Real-time; Operational; Data assimilation; Cyberinfrastructure; Skill assessment; Model coupling; Observing system design; GOOS 
    Abstract
    This paper outlines strategies that would advance coastal ocean modeling, analysis and prediction as a complement to the observing and data management activities of the coastal components of the U.S. Integrated Ocean Observing System (IOOS®) and the Global Ocean Observing System (GOOS). The views presented are the consensus of a group of U.S. based researchers with a cross-section of coastal oceanography and ocean modeling expertise and community representation drawn from Regional and U.S. Federal partners in IOOS. Priorities for research and development are suggested that would enhance the value of IOOS observations through model-based synthesis, deliver better model-based information products, and assist the design, evaluation and operation of the observing system itself. The proposed priorities are: model coupling, data assimilation, nearshore processes, cyberinfrastructure and model skill assessment, modeling for observing system design, evaluation and operation, ensemble prediction, and fast predictors. Approaches are suggested to accomplish substantial progress in a 3-8 year timeframe. In addition, the group proposes steps to promote collaboration between research and operations groups in Regional Associations, U.S. Federal Agencies, and the international ocean research community in general that would foster coordination on scientific and technical issues, and strengthen federal-academic partnerships benefiting IOOS stakeholders and end users.
    Description
    Author Posting. © The Author(s), 2017. This is the author's version of the work. It is posted here by permission of Taylor & Francis for personal use, not for redistribution. The definitive version was published in Journal of Operational Oceanography 10 (2017): 115-126, doi:10.1080/1755876X.2017.1322026.
    Collections
    • Sediment Transport
    Suggested Citation
    Preprint: Wilkin, John L., Rosenfeld, Leslie K., Allen, Arthur, Baltes, Rebecca, Baptista, Antonio, He, Ruoying, Hogan, Patrick, Kurapov, Alexander, Mehra, Avichal, Quintrell, Josie, Schwab, David, Signell, Richard P., Smith, Jane, "Advancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing System", 2017-04-19, https://doi.org/10.1080/1755876X.2017.1322026, https://hdl.handle.net/1912/9234
     

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