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

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	Recent Progress in Applications of the Conditional Nonlinear Optimal Perturbation Approach to Atmosphere-Ocean Sciences
	Mu MU ; Kun ZHANG; Qiang WANG
发表期刊	Chinese Annals of Mathematics,Series B
ISSN	0252-9599
	2022-11-15
出版年	2022
卷号	v.43 期号:06 页码:146-161
文献类型	CNKI期刊论文
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.
关键词	Conditional nonlinear optimal perturbation Atmosphere Ocean Targeted observation Predictability
CNKI专辑号	A;
CNKI专辑名称	基础科学;
CNKI专题号	A009;A010;
CNKI专题名称	气象学;海洋学;
分类号	P40;P73
收录类别	中科院核心 ; 中科院扩展
语种	英文;
资助项目(基金）	supported by the National Natural Science Foundation of China (Nos. 41790475,92158202, 42076017, 41576015) ; Guangdong Major Project of Basic and Applied Basic Research(No. 2020B0301030004)
文献类型	CNKI期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/187262
专题	中国科学院海洋研究所
作者单位	1.DepartmentofAtmosphericandOceanicSciencesandInstituteofAtmosphericSciences,FudanUniversity 2.CMA-FDUJointLaboratoryofMarineMeteorology 3.ShanghaiFrontiersScienceCenterofAtmosphere-OceanInteraction 4.CASKeyLaboratoryofOceanCirculationandWaves,InstituteofOceanology,ChineseAcademyofSciencesandQingdaoNationalLaboratoryforMarineScienceandTechnology 5.KeyLaboratoryofMarineHazardsForecasting,MinistryofNaturalResources,HohaiUniversity 6.CollegeofOceanography,HohaiUniversity
推荐引用方式 GB/T 7714	Mu MU,Kun ZHANG,Qiang WANG. Recent Progress in Applications of the Conditional Nonlinear Optimal Perturbation Approach to Atmosphere-Ocean Sciences. 2022.