Adjusting the Wind Stress Drag Coefficient in Storm Surge Forecasting Using an Adjoint Technique
[Peng, Shiqiu ; Li, Yineng] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China ; [Peng, Shiqiu ; Xie, Lian] N Carolina State Univ, Dept Marine Earth & Atmospher Sci, Raleigh, NC 27695 USA
刊名JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
2013
卷号30期号:3页码:590-608
ISSN号0739-0572
通讯作者speng@scsio.ac.cn
中文摘要A three-dimensional ocean model and its adjoint model are used to adjust the drag coefficient in the calculation of wind stress for storm surge forecasting. A number of identical twin experiments (ITEs) with different error sources imposed are designed and performed. The results indicate that when the errors come from the wind speed, the drag coefficient is adjusted to an "optimal value" to compensate for the wind errors, resulting in significant improvements of the specific storm surge forecasting. In practice, the "true" drag coefficient is unknown and the wind field, which is usually calculated by an empirical parameter model or a numerical weather prediction model, may contain large errors. In addition, forecasting errors may also come from imperfect model physics and numerics, such as insufficient resolution and inaccurate physical parameterizations. The results demonstrate that storm surge forecasting errors can be reduced through data assimilation by adjusting the drag coefficient regardless of the error sources. Therefore, although data assimilation may not fix model imperfection, it is effective in improving storm surge forecasting by adjusting the wind stress drag coefficient using the adjoint technique.
学科主题Engineering, Ocean ; Meteorology & Atmospheric Sciences
资助信息This work was jointly supported by the Innovation Key Program of the Chinese Academy of Sciences (Grant KZCX2-EW-208), the National High Technology Research and Development Program of China (863 Program) (Grant 2010AA012304), the National Natural Science Foundation of China (Grant 41076009), the Ministry of Science and Technology of the People's Republic of China (MOST) (Grant 2011CB403504), and the Hundred Talents Program of the Chinese Academy of Sciences.
原文出处AMER METEOROLOGICAL SOC
语种英语
WOS记录号WOS:000316558500013
公开日期2015-01-14
内容类型期刊论文
源URL[http://ir.scsio.ac.cn/handle/344004/10929]  
专题南海海洋研究所_热带海洋环境国家重点实验室(LTO)
推荐引用方式
GB/T 7714
[Peng, Shiqiu,Li, Yineng] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China,[Peng, Shiqiu,et al. Adjusting the Wind Stress Drag Coefficient in Storm Surge Forecasting Using an Adjoint Technique[J]. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY,2013,30(3):590-608.
APA [Peng, Shiqiu,Li, Yineng] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China,[Peng, Shiqiu,&Xie, Lian] N Carolina State Univ, Dept Marine Earth & Atmospher Sci, Raleigh, NC 27695 USA.(2013).Adjusting the Wind Stress Drag Coefficient in Storm Surge Forecasting Using an Adjoint Technique.JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY,30(3),590-608.
MLA [Peng, Shiqiu,et al."Adjusting the Wind Stress Drag Coefficient in Storm Surge Forecasting Using an Adjoint Technique".JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY 30.3(2013):590-608.
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