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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; Xie, Lian] N Carolina State Univ, Dept Marine Earth & Atmospher Sci, Raleigh, NC 27695 USA; speng@scsio.ac.cn
2013
Source PublicationJOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
ISSN0739-0572
Volume30Issue:3Pages:590-608
AbstractA 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.
DepartmentLTO
Subject AreaEngineering, Ocean ; Meteorology & Atmospheric Sciences
Funding OrganizationThis 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. ; 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. ; 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. ; 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.
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Language英语
Funding OrganizationThis 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. ; 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. ; 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. ; 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.
WOS IDWOS:000316558500013
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Cited Times:14[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.scsio.ac.cn/handle/344004/10929
Collection热带海洋环境国家重点实验室(LTO)
Corresponding Authorspeng@scsio.ac.cn
Recommended Citation
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,Xie, Lian] N Carolina State Univ, Dept Marine Earth & Atmospher Sci, Raleigh, NC 27695 USA,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,Xie, Lian] N Carolina State Univ, Dept Marine Earth & Atmospher Sci, Raleigh, NC 27695 USA,&speng@scsio.ac.cn.(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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