APPLICATIONS IN COASTAL MODELING AND FORECASTING

During the Global Ocean Data Assimilation Experiment (GODAE), numerical modeling and prediction in coastal and shelf seas benefited from development of state-of-the-art, data-assimilative, and data-validated large-scale models that can supply initial and boundary conditions to nested domains. Rather...

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Published inOceanography (Washington, D.C.) Vol. 22; no. 3; pp. 198 - 205
Main Authors DE MEY, PIERRE, CRAIG, PETER, DAVIDSON, FRASER, EDWARDS, CHRISTOPHER A., ISHIKAWA, YOICHI, KINDLE, JOHN C., PROCTOR, ROGER, THOMPSON, KEITH R., ZHU, JIANG
Format Journal Article
LanguageEnglish
Published The Oceanography Society 01.09.2009
Oceanography Society
Subjects
Atmospheric circulation
Atmospheric models
Atmospherics
Coastal currents
coastal forecasting
coastal ocean modeling
data assimilation
Earth Sciences
Forecasting models
GODAE
GODAE SPECIAL ISSUE FEATURE
Marine
Modeling
numerical modeling
Ocean circulation models
ocean prediction
Oceanography
Oceans
Sciences of the Universe
Seas
Weather forecasting
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Summary:During the Global Ocean Data Assimilation Experiment (GODAE), numerical modeling and prediction in coastal and shelf seas benefited from development of state-of-the-art, data-assimilative, and data-validated large-scale models that can supply initial and boundary conditions to nested domains. Rather than attempting an exhaustive synthesis, this article illustrates the progress in coastal ocean modeling and prediction made possible by GODAE, either directly by providing estimates, or more subtly by rendering coastal forecasting more feasible and its applications more obvious.
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ISSN:1042-8275
2377-617X
DOI:10.5670/oceanog.2009.79