中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Observation system simulation experiments using an ensemble-based method in the northeastern South China Sea

文献类型:CNKI期刊论文

作者GENG Wu; CHENG Feng; XIE Qiang; ZOU Xiaoli; HE Weihong; WANG Zhaozheng; SHU Yeqiang; CHEN Gengxin; LIU Danian; YE Dong
发表日期2020-11-15
出处Journal of Oceanology and Limnology
关键词assimilation observation system simulation experiment(OSSE) ensemble South China Sea (SCS) Kalman filter
英文摘要An ensemble-based method for the observation system simulation experiment(OSSE) is employed to design optimal observation stations and assess the present observation stations in the northeastern South China Sea(SCS).We employed the 20-year(1992-2012) sea surface height(SSH) data to design an array to monitor the intraseasonal to interannual variability.The results show that the most key region was found located at the northwest of Luzon Island(LI) where the energetic Luzon cyclonic gyre(LCG) occurs;other key regions include the edge of the LCG,the northwest of the Luzon Strait(L S),and the southwest of Taiwan,China.By contrast,we found that the present observation stations might oversample at the northwest of the LS and undersample at the northwest of LI.In addition,the optimal stations perform better in a larger area than the present stations.In vertical direction,the key layer is located within the upper200-m depth of which the surface and subsurface layers are most valuable to the observing system.
文献子类CNKI期刊论文
资助机构Supported by the National Key Research&Development Plan of China (Nos. 2016YFC1401703,2016YFC1401702,2018YFC0309803) ; the National Natural Science Foundation of China (Nos. 41506002,41676010,41476011,41676015,41606026) ; the Institution of South China Sea Ecology and Environmental Engineering,Chinese Academy of Sciences (No. ISEE2019ZR0) ; the Guangzhou Science and Technology Foundation (No. 201804010133)
v.38期:06页:133-149
语种英文;
分类号P715
ISSN号2096-5508
源URL[http://ir.qdio.ac.cn/handle/337002/187956]  
专题中国科学院海洋研究所
作者单位1.StateKeyLaboratoryofTropicalOceanography,SouthChinaSeaInstituteofOceanology,ChineseAcademyofSciences(SCSIO)
2.ChinaGeneralNuclearPower,YangjiangNuclearPowerCo.,Ltd.
3.LaboratoryforRegionalOceanographyandNumericalModeling,QingdaoNationalLaboratoryforMarineScienceandTechnology
4.InstituteofDeep-seaScienceandEngineering,ChineseAcademyofSciences
5.CenterforOceanMega-Science,ChineseAcademyofSciences
6.PublicWeatherServiceCenterofChinaMeteorologicalAdministration
7.NationalMeteorologicalCenterofChinaMeteorologicalAdministration
8.KeyLaboratoryofOceanCirculationandWaves,InstituteofOceanology,ChineseAcademyofSciences(IOCAS)
9.MarineDynamicProcessandClimateFunctionLaboratory,PilotNationalLaboratoryforMarineScienceandTechnology(Qingdao)(QNLM)
推荐引用方式
GB/T 7714
GENG Wu,CHENG Feng,XIE Qiang,et al. Observation system simulation experiments using an ensemble-based method in the northeastern South China Sea. 2020.

入库方式: OAI收割

来源:海洋研究所

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