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A parabolic model of drag coefficient for storm surge simulation in the South China Sea
Drag coefficient (C(d)) is an essential metric in the calculation of momentum exchange over the air-sea interface and thus has large impacts on the simulation or forecast of the upper ocean state associated with sea surface winds such as storm surges. Generally, C(d) is a function of wind speed. How...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4620453/ https://www.ncbi.nlm.nih.gov/pubmed/26499262 http://dx.doi.org/10.1038/srep15496 |
Sumario: | Drag coefficient (C(d)) is an essential metric in the calculation of momentum exchange over the air-sea interface and thus has large impacts on the simulation or forecast of the upper ocean state associated with sea surface winds such as storm surges. Generally, C(d) is a function of wind speed. However, the exact relationship between C(d) and wind speed is still in dispute, and the widely-used formula that is a linear function of wind speed in an ocean model could lead to large bias at high wind speed. Here we establish a parabolic model of C(d) based on storm surge observations and simulation in the South China Sea (SCS) through a number of tropical cyclone cases. Simulation of storm surges for independent Tropical cyclones (TCs) cases indicates that the new parabolic model of C(d) outperforms traditional linear models. |
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