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, Qiang1,2,3,4; Pierini, Stefano5,6; Tang, Youmin3
2019-11-01
发表期刊THEORETICAL AND APPLIED CLIMATOLOGY
ISSN0177-798X
卷号138期号:3-4页码:1481-1492
通讯作者Wang, Qiang(wangqiang@qdio.ac.cn)
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.
DOI10.1007/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] ; 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.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Wang2019_Article_Par(703KB)期刊论文出版稿限制开放CC BY-NC-SA浏览
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wang, Qiang]的文章
[Pierini, Stefano]的文章
[Tang, Youmin]的文章
百度学术
百度学术中相似的文章
[Wang, Qiang]的文章
[Pierini, Stefano]的文章
[Tang, Youmin]的文章
必应学术
必应学术中相似的文章
[Wang, Qiang]的文章
[Pierini, Stefano]的文章
[Tang, Youmin]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Wang2019_Article_ParameterSensitivityAnalysisOf.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。