Zheng, Xiangyang; Mayerle, Roberto; Wang, Yebao; Zhang, Hua
发表期刊DYNAMICS OF ATMOSPHERES AND OCEANS
ISSN0377-0265
2018-09
卷号83页码:64-74
关键词German BightWind drag coefficient4DvarStorm surge modeling
研究领域Geochemistry & Geophysics; Meteorology & Atmospheric Sciences; Oceanography
DOI10.1016/j.dynatmoce.2018.06.001
产权排序[Zheng, Xiangyang] Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China; [Mayerle, Roberto] Univ Kiel, Res & Technol Ctr, Kiel, Germany; [Zheng, Xiangyang; Wang, Yebao; Zhang, Hua] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China
作者部门海岸带环境过程实验室
英文摘要Wind stress is the most important driving force for storm surge in coastal waters. Currently, the parameterization of wind stress is still not well developed and is the most uncertain parameters for storm surge models. In this paper, a storm surge model for the German Bight is developed using the model Delft3D. The data assimilation method, adjoint-free 4Dvar, which is relatively easier to be implemented than the adjoint method, is used to assimilate measured water level data into Delft3D. The storm surge prediction is more accurate when we adjusted the drag coefficient using the adjoint free data assimilation method, than in a companion forward model. The drag coefficient is consistent with results from previous studies. The wind drag coefficient is also calculated using results of a wave model. It has been found that the relation between the drag coefficient and wind speed is approximately linear in the deep water. But in the shallow water, wind drag coefficient shows larger variability due to the wave shoaling effect. The linear relation adjusted by data assimilation agrees well with that derived from a wave-related formula. It is also found that wave-related parameterization scheme is necessary for shallow waters.
文章类型Article
收录类别SCI
语种英语
关键词[WOS]SEA MOMENTUM EXCHANGE; WATER SURFACES; OPEN-OCEAN; HEAT-FLUX; STRESS; DEPENDENCE; ROUGHNESS
研究领域[WOS]Geochemistry & Geophysics; Meteorology & Atmospheric Sciences; Oceanography
WOS记录号WOS:000444661800005
引用统计被引频次：5[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/24522
专题中科院海岸带环境过程与生态修复重点实验室_海岸带环境过程实验室
中科院海岸带环境过程与生态修复重点实验室_污染过程与控制实验室
作者单位1.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China;
2.Univ Kiel, Res & Technol Ctr, Kiel, Germany;
3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China
推荐引用方式
GB/T 7714Zheng, Xiangyang,Mayerle, Roberto,Wang, Yebao,et al. Study of the wind drag coefficient during the storm Xaver in the German Bight using data assimilation[J]. DYNAMICS OF ATMOSPHERES AND OCEANS,2018,83:64-74.
APAZheng, Xiangyang,Mayerle, Roberto,Wang, Yebao,&Zhang, Hua.(2018).Study of the wind drag coefficient during the storm Xaver in the German Bight using data assimilation.DYNAMICS OF ATMOSPHERES AND OCEANS,83,64-74.
MLAZheng, Xiangyang,et al."Study of the wind drag coefficient during the storm Xaver in the German Bight using data assimilation".DYNAMICS OF ATMOSPHERES AND OCEANS 83(2018):64-74.
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