An Optimization Strategy for Identifying Parameter Sensitivity in Atmospheric and Oceanic Models

doi:10.1175/MWR-D-16-0393.1

CORC > 海洋研究所 > 中国科学院海洋研究所 > 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, Qiang 1,2,3,4; Tang, Youmin 5,6; Dijkstra, Henk A.7
刊名	MONTHLY WEATHER REVIEW
	2017-08-01
卷号	145 期号:8 页码:3293-3305
DOI	10.1175/MWR-D-16-0393.1
文献子类	Article
英文摘要	A 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.
语种	英语
WOS记录号	WOS:000409304800019
内容类型	期刊论文
版本	出版稿
源URL	[http://ir.qdio.ac.cn/handle/337002/143137]
专题	海洋研究所_海洋环流与波动重点实验室
作者单位	1.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
推荐引用方式 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.