Recent Progress in Applications of the Conditional Nonlinear Optimal Perturbation Approach to Atmosphere-Ocean Sciences
文献类型:CNKI期刊论文
作者 | Mu MU; Kun ZHANG![]() |
发表日期 | 2022-11-15 |
出处 | Chinese Annals of Mathematics,Series B
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关键词 | Conditional nonlinear optimal perturbation Atmosphere Ocean Targeted observation Predictability |
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. |
文献子类 | CNKI期刊论文 |
资助机构 | 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) |
卷 | v.43期:06页:146-161 |
语种 | 英文; |
分类号 | P40;P73 |
ISSN号 | 0252-9599 |
源URL | [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.KeyLaboratoryofMarineHazardsForecasting,MinistryofNaturalResources,HohaiUniversity 2.DepartmentofAtmosphericandOceanicSciencesandInstituteofAtmosphericSciences,FudanUniversity 3.CMA-FDUJointLaboratoryofMarineMeteorology 4.ShanghaiFrontiersScienceCenterofAtmosphere-OceanInteraction 5.CASKeyLaboratoryofOceanCirculationandWaves,InstituteofOceanology,ChineseAcademyofSciencesandQingdaoNationalLaboratoryforMarineScienceandTechnology 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. |
入库方式: OAI收割
来源:海洋研究所
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