Parameterization of Wind Stress in Coastal Strong Wind Conditions and Its Application in Storm Surge and Wind Wave Simulations.
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| Title: | Parameterization of Wind Stress in Coastal Strong Wind Conditions and Its Application in Storm Surge and Wind Wave Simulations. |
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| Authors: | Li, Shuiqing1,2,3 (AUTHOR) lishuiqing@qdio.ac.cn, Chen, Sheng2,4 (AUTHOR), Gao, Xuanxuan1 (AUTHOR), Miao, Qingsheng5 (AUTHOR), Feng, Xingru1,2,3 (AUTHOR), Mo, Dongxue1,2,3 (AUTHOR), Hu, Po1,2,3 (AUTHOR) |
| Source: | Journal of Physical Oceanography. May2026, Vol. 56 Issue 5, p1-14. 14p. |
| Subjects: | Drag coefficient, Parameterization, Storm surges, Ocean, Tropical cyclones, Wind waves, Windstorms |
| Geographic Terms: | East China Sea |
| Abstract: | Accurate wind stress parameterization is essential for simulating coastal ocean dynamics. In operational models, wind stress is typically represented by a bulk formula involving a drag coefficient and wind speed. However, conventional drag coefficient formulations, generally expressed as linear functions of 10-m wind speed, suffer from dimensional inconsistency and exhibit substantial variability across observational datasets. In this study, We develop a dimensionally consistent drag coefficient parameterization for coastal strong-wind conditions, integrating measurement height, peak wavelength, and wave steepness. Evaluations using three coastal datasets demonstrate that that the wave-steepness–based formulation offers improved consistency and predictive skill over traditional wind speed– and wave-age–based approaches. The parameterization is applied in the simulation of storm surge and wind waves during Typhoon Muifa (2022) in the East China Sea. Compared to default wind-speed-dependent schemes, the new formulation efficiently improves the simulation of large storm surge heights and significant wave heights. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | Accurate wind stress parameterization is essential for simulating coastal ocean dynamics. In operational models, wind stress is typically represented by a bulk formula involving a drag coefficient and wind speed. However, conventional drag coefficient formulations, generally expressed as linear functions of 10-m wind speed, suffer from dimensional inconsistency and exhibit substantial variability across observational datasets. In this study, We develop a dimensionally consistent drag coefficient parameterization for coastal strong-wind conditions, integrating measurement height, peak wavelength, and wave steepness. Evaluations using three coastal datasets demonstrate that that the wave-steepness–based formulation offers improved consistency and predictive skill over traditional wind speed– and wave-age–based approaches. The parameterization is applied in the simulation of storm surge and wind waves during Typhoon Muifa (2022) in the East China Sea. Compared to default wind-speed-dependent schemes, the new formulation efficiently improves the simulation of large storm surge heights and significant wave heights. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 00223670 |
| DOI: | 10.1175/JPO-D-25-0168.1 |
