On improving storm surge forecasting using an adjoint optimal technique
文献类型：期刊论文
| 作者 | [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 |
| 刊名 | OCEAN MODELLING
 |
| 出版日期 | 2013 |
| 卷号 | 72页码:185-197 |
| 关键词 | 4DVAR Ajoint model Wind stress drag coefficient Initial conditions Storm surge forecasts |
| ISSN号 | 1463-5003 |
| 通讯作者 | speng@scsio.ac.cn |
| 中文摘要 | 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. |
| 学科主题 | Meteorology & Atmospheric Sciences ; Oceanography |
| 资助信息 | 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. |
| 原文出处 | ELSEVIER SCI LTD |
| 语种 | 英语 |
| WOS记录号 | WOS:000327484300014 |
| 公开日期 | 2015-01-14 |
| 源URL | [http://ir.scsio.ac.cn/handle/344004/10867]  |
| 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 | [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.(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. |
入库方式： OAI收割
来源：南海海洋研究所
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