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dc.contributor.authorWilkin, John L.  Concept link
dc.contributor.authorRosenfeld, Leslie K.  Concept link
dc.contributor.authorAllen, Arthur  Concept link
dc.contributor.authorBaltes, Rebecca  Concept link
dc.contributor.authorBaptista, Antonio  Concept link
dc.contributor.authorHe, Ruoying  Concept link
dc.contributor.authorHogan, Patrick  Concept link
dc.contributor.authorKurapov, Alexander  Concept link
dc.contributor.authorMehra, Avichal  Concept link
dc.contributor.authorQuintrell, Josie  Concept link
dc.contributor.authorSchwab, David  Concept link
dc.contributor.authorSignell, Richard P.  Concept link
dc.contributor.authorSmith, Jane  Concept link
dc.date.accessioned2017-09-19T20:12:13Z
dc.date.available2018-05-20T08:53:58Z
dc.date.issued2017-04-19
dc.identifier.urihttps://hdl.handle.net/1912/9234
dc.descriptionAuthor 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.en_US
dc.description.abstractThis 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.en_US
dc.language.isoen_USen_US
dc.relation.urihttps://doi.org/10.1080/1755876X.2017.1322026
dc.subjectCoastal oceanen_US
dc.subjectModelingen_US
dc.subjectForecastingen_US
dc.subjectReal-timeen_US
dc.subjectOperationalen_US
dc.subjectData assimilationen_US
dc.subjectCyberinfrastructureen_US
dc.subjectSkill assessmenten_US
dc.subjectModel couplingen_US
dc.subjectObserving system designen_US
dc.subjectGOOSen_US
dc.titleAdvancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing Systemen_US
dc.typePreprinten_US
dc.description.embargo2018-05-20en_US


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