Parameter sensitivity analysis of the short-range prediction of Kuroshio extension transition processes using an optimization approach
文献类型：期刊论文
| 作者 | Wang, Qiang3,4,5,6; Pierini, Stefano1,2; Tang, Youmin4 |
| 刊名 | THEORETICAL AND APPLIED CLIMATOLOGY
 |
| 出版日期 | 2019-11-01 |
| 卷号 | 138期号:3-4页码:1481-1492 |
| ISSN号 | 0177-798X |
| DOI | 10.1007/s00704-019-02911-y |
| 通讯作者 | Wang, Qiang(wangqiang@qdio.ac.cn) |
| 英文摘要 | In this study, the optimization parameter sensitivity analysis (OPSA) method is applied to investigate the sensitivity of the short-range prediction of the Kuroshio extension (KE) transition process to parameter uncertainties as simulated with a reduced-gravity shallow water model. The results show that the uncertainties of the model parameters have important impacts on the short-range predictions of the KE transition processes: the predictions are found to be mainly affected by the uncertainties in the reduced-gravity and interfacial friction coefficients. On the contrary, the prediction is insensitive to the wind stress amplitude and the lateral eddy viscosity coefficient. Furthermore, if the sensitive parameters are more accurately estimated, the prediction will be significantly improved. It is therefore suggested that the OPSA method is a useful tool to assess parameter sensitivity for the prediction of the KE transition processes. |
| 资助项目 | Qingdao National Laboratory for Marine Science and Technology[QNLM2016ORP0107] ; National Natural Scientific Foundation of China[41576015] ; National Natural Scientific Foundation of China[41490644] ; National Natural Scientific Foundation of China[41490640] ; open fund of State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography[QNHX1814] ; NSFC Innovative Group[41421005] ; National Programme on Global Change and Air-Sea interaction[GASI-IPOVAI-06] ; NSFC-Shandong Joint Fund for Marine Science Research Centers[U1606402] ; University of Naples Parthenope[DSTE315B] |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000494710000019 |
| 出版者 | SPRINGER WIEN |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/164217]  |
| 专题 | 海洋研究所_海洋环流与波动重点实验室 |
| 通讯作者 | Wang, Qiang |
| 作者单位 | 1.Univ Napoli Parthenope, Dipartimento Sci & Tecnol, Naples, Italy 2.CoNISMa, Rome, Italy 3.Hohai Univ, Coll Oceanog, Nanjing, Jiangsu, Peoples R China 4.MNR, State Key Lab Satellite Ocean Environm Dynam, Inst Oceanog 2, Hangzhou, Zhejiang, Peoples R China 5.Pilot Natl Lab Marine Sci & Technol Qingdao, 7 Nanhai Rd, Qingdao 266071, Shandong, Peoples R China 6.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, 7 Nanhai Rd, Qingdao 266071, Shandong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Qiang,Pierini, Stefano,Tang, Youmin. Parameter sensitivity analysis of the short-range prediction of Kuroshio extension transition processes using an optimization approach[J]. THEORETICAL AND APPLIED CLIMATOLOGY,2019,138(3-4):1481-1492. |
| APA | Wang, Qiang,Pierini, Stefano,&Tang, Youmin.(2019).Parameter sensitivity analysis of the short-range prediction of Kuroshio extension transition processes using an optimization approach.THEORETICAL AND APPLIED CLIMATOLOGY,138(3-4),1481-1492. |
| MLA | Wang, Qiang,et al."Parameter sensitivity analysis of the short-range prediction of Kuroshio extension transition processes using an optimization approach".THEORETICAL AND APPLIED CLIMATOLOGY 138.3-4(2019):1481-1492. |
入库方式： OAI收割
来源：海洋研究所
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