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

文献类型：期刊论文

作者Mu, Mu5,6,7,8; Zhang, Kun3,4; Wang, Qiang1,2
刊名CHINESE ANNALS OF MATHEMATICS SERIES B
出版日期2022-11-01
卷号43期号:6页码:1033-1048
关键词Conditional nonlinear optimal perturbation Atmosphere Ocean Targeted observation Predictability
ISSN号0252-9599
DOI10.1007/s11401-022-0376-8
通讯作者Mu, Mu(mumu@fudan.edu.cn)
英文摘要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.
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
语种英语
WOS记录号WOS:000895451200006
出版者SHANGHAI SCIENTIFIC TECHNOLOGY LITERATURE PUBLISHING HOUSE
源URL[http://ir.qdio.ac.cn/handle/337002/181384]  
专题海洋研究所_海洋环流与波动重点实验室
通讯作者Mu, Mu
作者单位1.Hohai Univ, Coll Oceanog, Nanjing 210098, Peoples R China
2.Hohai Univ, Key Lab Marine Hazards Forecasting, Minist Nat Resources, Nanjing 210098, Peoples R China
3.Qingdao Natl Lab Marine Sci & Technol, Qingdao 266071, Peoples R China
4.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China
5.CMA FDU Joint Lab Marine Meteorol, Shanghai 200438, Peoples R China
6.Shanghai Frontiers Sci Ctr Atmosphere Ocean Intera, Shanghai 200438, Peoples R China
7.Fudan Univ, Inst Atmospher Sci, Shanghai 200438, Peoples R China
8.Fudan Univ, Dept Atmospher & Ocean Sci, Shanghai 200438, 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.

入库方式： OAI收割

来源：海洋研究所

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