Parameter sensitivity analysis of the short-range prediction of Kuroshio extension transition processes using an optimization approach

doi:10.1007/s00704-019-02911-y

IOCAS-IR > 海洋环流与波动重点实验室

	Parameter sensitivity analysis of the short-range prediction of Kuroshio extension transition processes using an optimization approach
	Wang, Qiang 1,2,3,4; Pierini, Stefano 5,6; Tang, Youmin 3
	2019-11-01
发表期刊	THEORETICAL AND APPLIED CLIMATOLOGY
ISSN	0177-798X
卷号	138 期号:3-4 页码:1481-1492
通讯作者	Wang, Qiang([email protected])
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.
DOI	10.1007/s00704-019-02911-y
收录类别	SCI
语种	英语
资助项目	Qingdao National Laboratory for Marine Science and Technology[QNLM2016ORP0107]###2025; National Natural Scientific Foundation of China[41576015]###2024; National Natural Scientific Foundation of China[41490644]###2363; National Natural Scientific Foundation of China[41490640]###2364; open fund of State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography[QNHX1814]###3621; NSFC Innovative Group[41421005]###1457; National Programme on Global Change and Air-Sea Interaction[GASI-IPOVAI-06]###371; NSFC-Shandong Joint Fund for Marine Science Research Centers[U1606402]###1845; University of Naples Parthenope[DSTE315B]###3622; 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
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000494710000019
出版者	SPRINGER WIEN
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/164218
专题	海洋环流与波动重点实验室
通讯作者	Wang, Qiang
作者单位	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
第一作者单位	中国科学院海洋研究所
通讯作者单位	中国科学院海洋研究所
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.

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