Applications in Coastal Modeling and Forecasting
Overview & Synopsis
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.
Indexed from repository: HAL Open Science
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hal.science)
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Document Information
| Document Title | Applications in Coastal Modeling and Forecasting |
|---|---|
| Author / Organization | P. de Mey, P. Craig, F. Davidson, C. A. Edwards, Y. Ishikawa, J. C. Kindle, R. Proctor, K. R. Thompson, J. Zhu |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2009 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-138660 |
| Original Source Link | Visit Source Page on hal.science » |