中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Increasingly important role of numerical modeling in oceanic observation design strategy: A review

文献类型:CNKI期刊论文

作者Kun ZHANG; Mu MU; Qiang WANG
发表日期2020-10-10
出处Science China(Earth Sciences)
关键词Observation design Numerical modeling Targeted observation CNOP
英文摘要Oceanic observation design is of considerable significance and has made remarkable progress during the past several decades. This study addresses the critical role of numerical modeling in oceanic observation design. Following a brief introduction of the characteristics of existing oceanic observation design studies, we present the advantages of the model-based observation design strategy and further review its decisive contribution. To demonstrate the effectiveness of this strategy, the targeted observation applications using the conditional nonlinear optimal perturbation(CNOP) approach for improving the Kuroshio predictions are introduced. Finally, the authors present their consideration for correcting model errors by targeted observations of sensitive model parameters and mitigating the model-dependency problem by utilizing multiple modeling systems. Suggestions on using observing system simulation experiments to validate the designed observations and extending the model-based observation design strategy into observing oceanic climatological mean states are also discussed.
文献子类CNKI期刊论文
资助机构supported by the National Natural Science Foundation of China (Grant Nos. 41806013, 41790475) ; the China Postdoctoral Science Foundation (Grant No. 2017M622290) ; the NSFC Innovative Group Grant (Grant No. 41421005) ; the NSFCShandong Joint Fund for Marine Science Research Centers (Grant No. U1406401)
v.63期:11页:50-62
语种英文;
分类号P714
ISSN号1674-7313
源URL[http://ir.qdio.ac.cn/handle/337002/187991]  
专题中国科学院海洋研究所
作者单位1.CollegeofOceanography,HohaiUniversity
2.CASKeyLaboratoryofOceanCirculationandWaves,InstituteofOceanology,ChineseAcademyofSciencesandPilotNationalLaboratoryforMarineScienceandTechnology(Qingdao)
3.KeyLaboratoryofMarineHazardsForecasting,MinistryofNaturalResources,HohaiUniversity
4.CenterforOceanMega-Science,ChineseAcademyofSciences
5.DepartmentofAtmosphericandOceanicSciencesandInstituteofAtmosphericSciences,FudanUniversity
6.CMA-FDUJointLaboratoryofMarineMeteorology
7.InnovationCenterofOceanandAtmosphereSystem,ZhuhaiFudanInnovationResearchInstitute
推荐引用方式
GB/T 7714
Kun ZHANG,Mu MU,Qiang WANG. Increasingly important role of numerical modeling in oceanic observation design strategy: A review. 2020.

入库方式: OAI收割

来源:海洋研究所

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