Observation system simulation experiments using an ensemble-based method in the northeastern South China Sea

doi:10.1007/s00343-019-9119-4

IOCAS-IR > 海洋环流与波动重点实验室

	Observation system simulation experiments using an ensemble-based method in the northeastern South China Sea
	Geng Wu 1; Cheng Feng 2; Xie Qiang 3,4,5; Zou Xiaoli 1; He Weihong 1; Wang Zhaozheng 1; Shu Yeqiang 1; Chen Gengxin 1; Liu Danian 1; Ye Dong 6; Wang Ruiwen 7; Liu Chuanyu 8,9
	2020-01-17
发表期刊	JOURNAL OF OCEANOLOGY AND LIMNOLOGY
ISSN	2096-5508
页码	17
通讯作者	Xie Qiang([email protected])
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 (LS), 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 upper 200-m depth, of which the surface and subsurface layers are most valuable to the observing system.
关键词	assimilation observation system simulation experiment (OSSE) ensemble South China Sea (SCS) Kalman filter
DOI	10.1007/s00343-019-9119-4
收录类别	SCI
语种	英语
资助项目	National Key Research & Development Plan of China[2016YFC1401703]###3706; National Key Research & Development Plan of China[2016YFC1401702]###3707; National Key Research & Development Plan of China[2018YFC0309803]###3708; National Natural Science Foundation of China[41506002]###3709; National Natural Science Foundation of China[41676010]###3710; National Natural Science Foundation of China[41476011]###3711; National Natural Science Foundation of China[41676015]###3712; National Natural Science Foundation of China[41606026]###2352; Institution of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences[ISEE2019ZR0]###3713; Guangzhou Science and Technology Foundation[201804010133]###41; National Key Research & Development Plan of China[2016YFC1401703]; National Key Research & Development Plan of China[2016YFC1401702]; National Key Research & Development Plan of China[2018YFC0309803]; National Natural Science Foundation of China[41506002]; National Natural Science Foundation of China[41676010]; National Natural Science Foundation of China[41476011]; National Natural Science Foundation of China[41676015]; National Natural Science Foundation of China[41606026]; Institution of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences[ISEE2019ZR0]; Guangzhou Science and Technology Foundation[201804010133]
WOS研究方向	Marine & Freshwater Biology ; Oceanography
WOS类目	Limnology ; Oceanography
WOS记录号	WOS:000507802400005
出版者	SCIENCE PRESS
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/164488
专题	海洋环流与波动重点实验室
通讯作者	Xie Qiang
作者单位	1.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Peoples R China 2.Yangjiang Nucl Power Co Ltd, China Gen Nucl Power, Yangjiang 529941, Peoples R China 3.Qingdao Natl Lab Marine Sci & Technol, Lab Reg Oceanog & Numer Modeling, Qingdao 266071, Peoples R China 4.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Sanya 572000, Peoples R China 5.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China 6.China Meteorol Adm, Publ Weather Serv Ctr, Beijing 100081, Peoples R China 7.China Meteorol Adm, Natl Meteorol Ctr, Beijing 100081, Peoples R China 8.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 9.Pilot Natl Lab Marine Sci & Technol Qingdao QNLM, Marine Dynam Proc & Climate Funct Lab, Qingdao 266237, Peoples R China
第一作者单位	中国科学院海洋研究所
通讯作者单位	中国科学院海洋大科学研究中心
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[J]. JOURNAL OF OCEANOLOGY AND LIMNOLOGY,2020:17.
APA	Geng Wu.,Cheng Feng.,Xie Qiang.,Zou Xiaoli.,He Weihong.,...&Liu Chuanyu.(2020).Observation system simulation experiments using an ensemble-based method in the northeastern South China Sea.JOURNAL OF OCEANOLOGY AND LIMNOLOGY,17.
MLA	Geng Wu,et al."Observation system simulation experiments using an ensemble-based method in the northeastern South China Sea".JOURNAL OF OCEANOLOGY AND LIMNOLOGY (2020):17.

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