Institutional Repository of Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
| Parameter sensitivity analysis of the short-range prediction of Kuroshio extension transition processes using an optimization approach | |
| Wang, Qiang1,2,3,4; Pierini, Stefano5,6; Tang, Youmin3 | |
| 2019-11-01 | |
| Source Publication | THEORETICAL AND APPLIED CLIMATOLOGY
 |
| ISSN | 0177-798X |
| Volume | 138Issue:3-4Pages:1481-1492 |
| Corresponding Author | Wang, Qiang(wangqiang@qdio.ac.cn) |
| Abstract | 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. |
| DOI | 10.1007/s00704-019-02911-y |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | 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] ; 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 Research Area | Meteorology & Atmospheric Sciences |
| WOS Subject | Meteorology & Atmospheric Sciences |
| WOS ID | WOS:000494710000019 |
| Publisher | SPRINGER WIEN |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.qdio.ac.cn/handle/337002/164218 |
| Collection | 海洋环流与波动重点实验室 |
| Corresponding Author | Wang, Qiang |
| Affiliation | 1.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, 7 Nanhai Rd, Qingdao 266071, Shandong, Peoples R China 2.Pilot Natl Lab Marine Sci & Technol Qingdao, 7 Nanhai Rd, Qingdao 266071, Shandong, Peoples R China 3.MNR, State Key Lab Satellite Ocean Environm Dynam, Inst Oceanog 2, Hangzhou, Zhejiang, Peoples R China 4.Hohai Univ, Coll Oceanog, Nanjing, Jiangsu, Peoples R China 5.Univ Napoli Parthenope, Dipartimento Sci & Tecnol, Naples, Italy 6.CoNISMa, Rome, Italy |
| First Author Affilication | Institute of Oceanology, Chinese Academy of Sciences |
| Corresponding Author Affilication | Institute of Oceanology, Chinese Academy of Sciences |
| Recommended Citation 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. |
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