Increasingly important role of numerical modeling in oceanic observation design strategy: A review  

作　　者：Kun ZHANG Mu MU Qiang WANG 

机构地区：[1]CAS Key Laboratory of Ocean Circulation and Waves,Institute of Oceanology,Chinese Academy of Sciences and Pilot National Laboratory for Marine Science and Technology(Qingdao),Qingdao 266071,China [2]Center for Ocean Mega-Science,Chinese Academy of Sciences,Qingdao 266071,China [3]Department of Atmospheric and Oceanic Sciences and Institute of Atmospheric Sciences,Fudan University,Shanghai 200438,China [4]CMA-FDU Joint Laboratory of Marine Meteorology,Shanghai 200438,China [5]Innovation Center of Ocean and Atmosphere System,Zhuhai Fudan Innovation Research Institute,Zhuhai 518057,China [6]Key Laboratory of Marine Hazards Forecasting,Ministry of Natural Resources,Hohai University,Nanjing 210098,China [7]College of Oceanography,Hohai University,Nanjing 210098,China

出　　处：《Science China Earth Sciences》2020年第11期1678-1690,共13页中国科学（地球科学英文版）

基　　金：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)。

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.

关 键 词：Observation design Numerical modeling Targeted observation CNOP 

分 类 号：P714[天文地球—海洋科学]