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dc.contributor.authorPullen, Julie  Concept link
dc.contributor.authorAllard, Richard  Concept link
dc.contributor.authorSeo, Hyodae  Concept link
dc.contributor.authorMiller, Arthur J.  Concept link
dc.contributor.authorChen, Shuyi  Concept link
dc.contributor.authorPezzi, Luciano Ponzi  Concept link
dc.contributor.authorSmith, Travis  Concept link
dc.contributor.authorChu, Philip  Concept link
dc.contributor.authorAlves, José  Concept link
dc.contributor.authorCaldeira, Rui  Concept link
dc.date.accessioned2018-08-29T18:07:05Z
dc.date.available2018-08-29T18:07:05Z
dc.date.issued2017-11-01
dc.identifier.citationJournal of Marine Research 75 (2017): 877-921en_US
dc.identifier.urihttps://hdl.handle.net/1912/10546
dc.descriptionAuthor Posting. © The Author(s), 2017. This article is posted here by permission of Sears Foundation for Marine Research for personal use, not for redistribution. The definitive version was published in Journal of Marine Research 75 (2017): 877-921, doi:10.1357/002224017823523991.en_US
dc.description.abstractRecent technological advances over the past few decades have enabled the development of fully coupled atmosphere-ocean modeling prediction systems that are used today to support short-term (days to weeks) and medium-term (10–21 days) needs for both the operational and research communities. We overview the coupling framework, including model components and grid resolution considerations, as well as the coupling physics by examining heat fluxes between atmosphere and ocean, momentum transfer, and freshwater fluxes. These modeling systems can be run as fully coupled atmosphere-ocean and atmosphere-ocean-wave configurations. Examples of several modeling systems applied to complex coastal regions including Madeira Island, Adriatic Sea, Coastal California, Gulf of Mexico, Brazil, and the Maritime Continent are presented. In many of these studies, a variety of field campaigns have contributed to a better understanding of the underlying physics associated with the atmosphere-ocean feedbacks. Examples of improvements in predictive skill when run in coupled mode versus standalone are shown. Coupled model challenges such as model initialization, data assimilation, and earth system prediction are discussed.en_US
dc.description.sponsorshipJP acknowledges support from Office of Naval Research (ONR) grant N00014- 10-1-0300. RAA and TAS were supported through the 6.2 NRL Core Project “Coupled Ocean–Wave Prediction System” Program Element #0602435N. HS acknowledges support from ONR (N00014- 15-1-2588), NSF (OCE-f 419235), andNOAA(NA15OAR4310176). AJMwas supported by the NSF Earth System Modeling Program (OCE1419306) and the NOAA Climate Variability and Prediction Program (NA14OAR4310276). LPP is supported by CNPq’s fellowships on scientific productivity (CNPq 304009/2016-4). JA and RC were financially supported by the Oceanic Observatory of Madeira Project (M1420-01-0145-FEDER-000001-Observatório Oceânico da Madeira-OOM).en_US
dc.language.isoen_USen_US
dc.publisherSears Foundation for Marine Researchen_US
dc.relation.urihttps://doi.org/10.1357/002224017823523991
dc.subjectCoupled air-sea modelingen_US
dc.titleCoupled ocean-atmosphere forecasting at short and medium time scalesen_US
dc.typeArticleen_US
dc.identifier.doi10.1357/002224017823523991


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