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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 PublicationTHEORETICAL AND APPLIED CLIMATOLOGY
ISSN0177-798X
Volume138Issue:3-4Pages:1481-1492
Corresponding AuthorWang, Qiang(wangqiang@qdio.ac.cn)
AbstractIn 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.
DOI10.1007/s00704-019-02911-y
Indexed BySCI
Language英语
Funding ProjectQingdao 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 AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000494710000019
PublisherSPRINGER WIEN
Citation statistics
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/164218
Collection海洋环流与波动重点实验室
Corresponding AuthorWang, Qiang
Affiliation1.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 AffilicationInstitute of Oceanology, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute 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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