Recent Progress in Applications of the Conditional Nonlinear Optimal Perturbation Approach to Atmosphere-Ocean Sciences

doi:10.1007/s11401-022-0376-8

IOCAS-IR > 海洋环流与波动重点实验室

	Recent Progress in Applications of the Conditional Nonlinear Optimal Perturbation Approach to Atmosphere-Ocean Sciences
	Mu, Mu 1,2,3,4; Zhang, Kun5,6 ; Wang, Qiang 7,8
	2022-11-01
发表期刊	CHINESE ANNALS OF MATHEMATICS SERIES B
ISSN	0252-9599
卷号	43 期号:6 页码:1033-1048
通讯作者	Mu, Mu(mumu@fudan.edu.cn)
摘要	The conditional nonlinear optimal perturbation (CNOP for short) approach is a powerful tool for predictability and targeted observation studies in atmosphere-ocean sciences. By fully considering nonlinearity under appropriate physical constraints, the CNOP approach can reveal the optimal perturbations of initial conditions, boundary conditions, model parameters, and model tendencies that cause the largest simulation or prediction uncertainties. This paper reviews the progress of applying the CNOP approach to atmosphere-ocean sciences during the past five years. Following an introduction of the CNOP approach, the algorithm developments for solving the CNOP are discussed. Then, recent CNOP applications, including predictability studies of some high-impact ocean-atmospheric environmental events, ensemble forecast, parameter sensitivity analysis, uncertainty estimation caused by errors of model tendency or boundary condition, are reviewed. Finally, a summary and discussion on future applications and challenges of the CNOP approach are presented.
关键词	Conditional nonlinear optimal perturbation Atmosphere Ocean Targeted observation Predictability
DOI	10.1007/s11401-022-0376-8
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[41790475] ; National Natural Science Foundation of China[92158202] ; National Natural Science Foundation of China[42076017] ; National Natural Science Foundation of China[41576015]
WOS研究方向	Mathematics
WOS类目	Mathematics
WOS记录号	WOS:000895451200006
出版者	SHANGHAI SCIENTIFIC TECHNOLOGY LITERATURE PUBLISHING HOUSE
引用统计
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/181385
专题	海洋环流与波动重点实验室
通讯作者	Mu, Mu
作者单位	1.Fudan Univ, Dept Atmospher & Ocean Sci, Shanghai 200438, Peoples R China 2.Fudan Univ, Inst Atmospher Sci, Shanghai 200438, Peoples R China 3.Shanghai Frontiers Sci Ctr Atmosphere Ocean Intera, Shanghai 200438, Peoples R China 4.CMA FDU Joint Lab Marine Meteorol, Shanghai 200438, Peoples R China 5.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 6.Qingdao Natl Lab Marine Sci & Technol, Qingdao 266071, Peoples R China 7.Hohai Univ, Key Lab Marine Hazards Forecasting, Minist Nat Resources, Nanjing 210098, Peoples R China 8.Hohai Univ, Coll Oceanog, Nanjing 210098, Peoples R China
推荐引用方式 GB/T 7714	Mu, Mu,Zhang, Kun,Wang, Qiang. Recent Progress in Applications of the Conditional Nonlinear Optimal Perturbation Approach to Atmosphere-Ocean Sciences[J]. CHINESE ANNALS OF MATHEMATICS SERIES B,2022,43(6):1033-1048.
APA	Mu, Mu,Zhang, Kun,&Wang, Qiang.(2022).Recent Progress in Applications of the Conditional Nonlinear Optimal Perturbation Approach to Atmosphere-Ocean Sciences.CHINESE ANNALS OF MATHEMATICS SERIES B,43(6),1033-1048.
MLA	Mu, Mu,et al."Recent Progress in Applications of the Conditional Nonlinear Optimal Perturbation Approach to Atmosphere-Ocean Sciences".CHINESE ANNALS OF MATHEMATICS SERIES B 43.6(2022):1033-1048.