Institutional Repository of Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
Observation system simulation experiments using an ensemble-based method in the northeastern South China Sea | |
Geng Wu1; Cheng Feng2; Xie Qiang3,4,5; Zou Xiaoli1; He Weihong1; Wang Zhaozheng1; Shu Yeqiang1; Chen Gengxin1; Liu Danian1; Ye Dong6; Wang Ruiwen7; Liu Chuanyu8,9 | |
2020-01-17 | |
Source Publication | JOURNAL OF OCEANOLOGY AND LIMNOLOGY
![]() |
ISSN | 2096-5508 |
Pages | 17 |
Corresponding Author | Xie Qiang(gordonxie@idsse.ac.cn) |
Abstract | 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. |
Keyword | assimilation observation system simulation experiment (OSSE) ensemble South China Sea (SCS) Kalman filter |
DOI | 10.1007/s00343-019-9119-4 |
Indexed By | SCI |
Language | 英语 |
Funding Project | 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] ; 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 Research Area | Marine & Freshwater Biology ; Oceanography |
WOS Subject | Limnology ; Oceanography |
WOS ID | WOS:000507802400005 |
Publisher | SCIENCE PRESS |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.qdio.ac.cn/handle/337002/164488 |
Collection | 海洋环流与波动重点实验室 |
Corresponding Author | Xie Qiang |
Affiliation | 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 |
First Author Affilication | Institute of Oceanology, Chinese Academy of Sciences |
Corresponding Author Affilication | Center for Ocean Mega-Science, Chinese Academy of Sciences |
Recommended Citation 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. |
Files in This Item: | ||||||
File Name/Size | DocType | Version | Access | License | ||
Observation system s(9272KB) | 期刊论文 | 出版稿 | 延迟开放 | CC BY-NC-SA | View 2023-7-1后可获取 |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment