Coupled ocean-atmosphere forecasting at short and medium time scales

dc.contributor.author Pullen, Julie
dc.contributor.author Allard, Richard
dc.contributor.author Seo, Hyodae
dc.contributor.author Miller, Arthur J.
dc.contributor.author Chen, Shuyi
dc.contributor.author Pezzi, Luciano Ponzi
dc.contributor.author Smith, Travis
dc.contributor.author Chu, Philip
dc.contributor.author Alves, José
dc.contributor.author Caldeira, Rui
dc.date.accessioned 2018-08-29T18:07:05Z
dc.date.available 2018-08-29T18:07:05Z
dc.date.issued 2017-11-01
dc.description Author 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.abstract Recent 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.sponsorship JP 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.identifier.citation Journal of Marine Research 75 (2017): 877-921 en_US
dc.identifier.doi 10.1357/002224017823523991
dc.identifier.uri https://hdl.handle.net/1912/10546
dc.language.iso en_US en_US
dc.publisher Sears Foundation for Marine Research en_US
dc.relation.uri https://doi.org/10.1357/002224017823523991
dc.subject Coupled air-sea modeling en_US
dc.title Coupled ocean-atmosphere forecasting at short and medium time scales en_US
dc.type Article en_US
dspace.entity.type Publication
relation.isAuthorOfPublication 65366b01-7b5d-487e-98b5-d51e1f5391de
relation.isAuthorOfPublication 63dc441d-ffc5-4527-b718-cd18365978a5
relation.isAuthorOfPublication c870863e-3371-420c-898a-48f838bfbe1f
relation.isAuthorOfPublication c365abbf-dcf4-4a5f-abf5-f7aada160571
relation.isAuthorOfPublication 4219d16b-069d-4219-afe5-e808a5b35207
relation.isAuthorOfPublication 0d0cd7ab-715b-4e0b-8680-a3a791ed085f
relation.isAuthorOfPublication de208d0c-08df-4f1b-bf64-3127f4bd808d
relation.isAuthorOfPublication ff095eb0-978f-47f5-8db1-f69790e3cc13
relation.isAuthorOfPublication 743e28a4-7a75-496c-be61-fb87e5e81a57
relation.isAuthorOfPublication 8b4f2e47-6e71-46f9-b38d-001b59c664bf
relation.isAuthorOfPublication.latestForDiscovery 65366b01-7b5d-487e-98b5-d51e1f5391de
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
s7.pdf
Size:
27.21 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.89 KB
Format:
Item-specific license agreed upon to submission
Description: