On improving storm surge forecasting using an adjoint optimal technique
[Li, Yineng; Peng, Shiqiu; Yan, Jing] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China; [Peng, Shiqiu; Xie, Lian] N Carolina State Univ, Dept Marine Earth & Atmospher Sci, Raleigh, NC 27695 USA; speng@scsio.ac.cn
2013
发表期刊OCEAN MODELLING
ISSN1463-5003
卷号72页码:185-197
摘要A three-dimensional ocean model and its adjoint model are used to simultaneously optimize the initial conditions (IC) and the wind stress drag coefficient (C-d) for improving storm surge forecasting. To demonstrate the effect of this proposed method, a number of identical twin experiments (ITEs) with a prescription of different error sources and two real data assimilation experiments are performed. Results from both the idealized and real data assimilation experiments show that adjusting IC and C-d simultaneously can achieve much more improvements in storm surge forecasting than adjusting IC or C-d only. A diagnosis on the dynamical balance indicates that adjusting IC only may introduce unrealistic oscillations out of the assimilation window, which can be suppressed by the adjustment of the wind stress when simultaneously adjusting IC and C-d. Therefore, it is recommended to simultaneously adjust IC and C-d to improve storm surge forecasting using an adjoint technique. (C) 2013 Elsevier Ltd. All rights reserved.
部门归属LTO
关键词4dvar Ajoint Model Wind Stress Drag Coefficient Initial Conditions Storm Surge Forecasts
学科领域Meteorology & Atmospheric Sciences ; Oceanography
资助者This work was jointly supported by the Innovation Key Program of the Chinese Academy of Sciences (KZCX2-EW-208), the Ministry of Science and Technology of the People's Republic of China (MOST) (2011CB403505), the National Natural Science Foundation of China (41076009), and the Hundred Talent Program of the Chinese Academy of Sciences. The authors gratefully acknowledge the use of the HPCC for all numeric simulations at the South China Sea Institute of Oceanology, Chinese Academy of Sciences. ; This work was jointly supported by the Innovation Key Program of the Chinese Academy of Sciences (KZCX2-EW-208), the Ministry of Science and Technology of the People's Republic of China (MOST) (2011CB403505), the National Natural Science Foundation of China (41076009), and the Hundred Talent Program of the Chinese Academy of Sciences. The authors gratefully acknowledge the use of the HPCC for all numeric simulations at the South China Sea Institute of Oceanology, Chinese Academy of Sciences. ; This work was jointly supported by the Innovation Key Program of the Chinese Academy of Sciences (KZCX2-EW-208), the Ministry of Science and Technology of the People's Republic of China (MOST) (2011CB403505), the National Natural Science Foundation of China (41076009), and the Hundred Talent Program of the Chinese Academy of Sciences. The authors gratefully acknowledge the use of the HPCC for all numeric simulations at the South China Sea Institute of Oceanology, Chinese Academy of Sciences. ; This work was jointly supported by the Innovation Key Program of the Chinese Academy of Sciences (KZCX2-EW-208), the Ministry of Science and Technology of the People's Republic of China (MOST) (2011CB403505), the National Natural Science Foundation of China (41076009), and the Hundred Talent Program of the Chinese Academy of Sciences. The authors gratefully acknowledge the use of the HPCC for all numeric simulations at the South China Sea Institute of Oceanology, Chinese Academy of Sciences.
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资助者This work was jointly supported by the Innovation Key Program of the Chinese Academy of Sciences (KZCX2-EW-208), the Ministry of Science and Technology of the People's Republic of China (MOST) (2011CB403505), the National Natural Science Foundation of China (41076009), and the Hundred Talent Program of the Chinese Academy of Sciences. The authors gratefully acknowledge the use of the HPCC for all numeric simulations at the South China Sea Institute of Oceanology, Chinese Academy of Sciences. ; This work was jointly supported by the Innovation Key Program of the Chinese Academy of Sciences (KZCX2-EW-208), the Ministry of Science and Technology of the People's Republic of China (MOST) (2011CB403505), the National Natural Science Foundation of China (41076009), and the Hundred Talent Program of the Chinese Academy of Sciences. The authors gratefully acknowledge the use of the HPCC for all numeric simulations at the South China Sea Institute of Oceanology, Chinese Academy of Sciences. ; This work was jointly supported by the Innovation Key Program of the Chinese Academy of Sciences (KZCX2-EW-208), the Ministry of Science and Technology of the People's Republic of China (MOST) (2011CB403505), the National Natural Science Foundation of China (41076009), and the Hundred Talent Program of the Chinese Academy of Sciences. The authors gratefully acknowledge the use of the HPCC for all numeric simulations at the South China Sea Institute of Oceanology, Chinese Academy of Sciences. ; This work was jointly supported by the Innovation Key Program of the Chinese Academy of Sciences (KZCX2-EW-208), the Ministry of Science and Technology of the People's Republic of China (MOST) (2011CB403505), the National Natural Science Foundation of China (41076009), and the Hundred Talent Program of the Chinese Academy of Sciences. The authors gratefully acknowledge the use of the HPCC for all numeric simulations at the South China Sea Institute of Oceanology, Chinese Academy of Sciences.
WOS记录号WOS:000327484300014
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被引频次:6[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.scsio.ac.cn/handle/344004/10867
专题热带海洋环境国家重点实验室(LTO)
通讯作者speng@scsio.ac.cn
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[Li, Yineng,Peng, Shiqiu,Yan, Jing] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China,et al. On improving storm surge forecasting using an adjoint optimal technique[J]. OCEAN MODELLING,2013,72:185-197.
APA [Li, Yineng,Peng, Shiqiu,Yan, Jing] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China,[Peng, Shiqiu,Xie, Lian] N Carolina State Univ, Dept Marine Earth & Atmospher Sci, Raleigh, NC 27695 USA,&speng@scsio.ac.cn.(2013).On improving storm surge forecasting using an adjoint optimal technique.OCEAN MODELLING,72,185-197.
MLA [Li, Yineng,et al."On improving storm surge forecasting using an adjoint optimal technique".OCEAN MODELLING 72(2013):185-197.
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