IOCAS-IR  > 海洋环流与波动重点实验室
An Optimization Strategy for Identifying Parameter Sensitivity in Atmospheric and Oceanic Models
Wang, Qiang1,2,3,4; Tang, Youmin5,6; Dijkstra, Henk A.7
2017-08-01
Source PublicationMONTHLY WEATHER REVIEW
Volume145Issue:8Pages:3293-3305
SubtypeArticle
AbstractA new optimization strategy is proposed to identify the sensitivities of simulations of atmospheric and oceanic models to uncertain parameters. The strategy is based on a nonlinear optimization method that is able to estimate the maximum values of specific parameter sensitivity measures; meanwhile, it takes into account interactions among uncertain parameters. It is tested using the Lorenz' 63 model and an intermediate complexity 2.5-layer shallow-water model of the North Pacific Ocean. For the Lorenz' 63 model, it is shown that the parameter sensitivities of the model results depend on the initial conditions. For the 2.5-layer shallow-water model used to simulate the Kuroshio large meander (KLM) south of Japan, the optimization strategy reveals that the prediction of the KLM path is insensitive to the uncertainties in the bottom friction coefficient, the interfacial friction coefficient, and the lateral friction coefficient. Rather, the KLM prediction is relatively sensitive to the uncertainties of the reduced gravity representing ocean stratification and the wind stress coefficient.
DOI10.1175/MWR-D-16-0393.1
Indexed BySCI
Language英语
WOS IDWOS:000409304800019
Citation statistics
Document Type期刊论文
Version出版稿
Identifierhttp://ir.qdio.ac.cn/handle/337002/143137
Collection海洋环流与波动重点实验室
Affiliation1.Chinese Acad Sci, Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China
2.Chinese Acad Sci, Inst Oceanol, Qingdao, Peoples R China
3.Univ Northern British Columbia, Environm Sci & Engn, Prince George, BC, Canada
4.Qingdao Natl Lab Marine Sci & Technol, Qingdao, Peoples R China
5.Univ Northern British Columbia, Dept Environm Sci & Engn, Prince George, BC, Canada
6.Second Inst Oceanog, State Key Lab Satellite Ocean Environm Dynam, Hangzhou, Zhejiang, Peoples R China
7.Univ Utrecht, Inst Marine & Atmospher Res Utrecht, Dept Phys & Astron, Utrecht, Netherlands
First Author AffilicationKey Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences;  Institute of Oceanology, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Wang, Qiang,Tang, Youmin,Dijkstra, Henk A.. An Optimization Strategy for Identifying Parameter Sensitivity in Atmospheric and Oceanic Models[J]. MONTHLY WEATHER REVIEW,2017,145(8):3293-3305.
APA Wang, Qiang,Tang, Youmin,&Dijkstra, Henk A..(2017).An Optimization Strategy for Identifying Parameter Sensitivity in Atmospheric and Oceanic Models.MONTHLY WEATHER REVIEW,145(8),3293-3305.
MLA Wang, Qiang,et al."An Optimization Strategy for Identifying Parameter Sensitivity in Atmospheric and Oceanic Models".MONTHLY WEATHER REVIEW 145.8(2017):3293-3305.
Files in This Item:
File Name/Size DocType Version Access License
An Optimization Stra(916KB)期刊论文出版稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang, Qiang]'s Articles
[Tang, Youmin]'s Articles
[Dijkstra, Henk A.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang, Qiang]'s Articles
[Tang, Youmin]'s Articles
[Dijkstra, Henk A.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang, Qiang]'s Articles
[Tang, Youmin]'s Articles
[Dijkstra, Henk A.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: An Optimization Strategy for Identifying Parameter Sensitivity in Atmospheric and Oceanic Models.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.