IDSSE OpenIR  > 深海科学研究部  > 海洋环流观测与数值模拟研究室
Improving the Real-time Marine Forecasting of the Northern South China Sea by Assimilation of Glider-observed T/S Profiles
Peng, Shiqiu1,2,6; Zhu, Yuhang1,7; Li, Zhijin5; Li, Yineng1; Xie, Qiang4; Liu, Shijie3; Luo, Yeteng3; Tian, Yu3; Yu, Jiancheng3
2019-11-28
Source PublicationSCIENTIFIC REPORTS
ISSN2045-2322
Volume9Pages:9
Abstract

Prediction of marine conditions is notoriously challenging in the northern South China Sea (NSCS) due to inadequate observations in the region. The underwater gliders that were developed during the past decade may provide observing platforms that could produce required observations. During a field experiment, temperature/salinity (T/S) profiles from a set of underwater gliders were assimilated into a real-time marine forecasting system, along with the assimilation of climatological monthly mean Argo data to constrain the basin-wide model biases. The results show that, in addition to the reduction of the basin-wide model biases by the assimilation of the climatological monthly mean Argo data, the assimilation of glider-observed T/S profiles is efficient to reduce the local biases of the NSCS marine forecasting by as much as 28-31% (19-36%) in 24 h to 120 h forecasts for temperature (salinity) from sea surface to a depth of 1000 m. Our results imply that the real-time marine forecasting for the NSCS can largely benefit from a sustainable glider observing network of the NSCS in the future.

DOI10.1038/s41598-019-54241-8
Indexed BySCI
Funding OrganizationInnovation Research Group of National Natural Science Foundation of China ; National Natural Science Foundation of China ; Major Projects of the National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Science and Technology Program of Guangzhou, China ; CAS/SAFEA International Partnership Program for Creative Research Teams, Science and Technology Planning Project of Guangdong Province, China ; Chinese Academy of Sciences
Language英语
Funding ProjectInnovation Research Group of National Natural Science Foundation of China[41521005] ; National Natural Science Foundation of China[41676016] ; National Natural Science Foundation of China[U1709202] ; National Natural Science Foundation of China[41776028] ; Major Projects of the National Natural Science Foundation of China[41890851] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA13030103] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA13030201] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA13030202] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB06020101] ; Science and Technology Program of Guangzhou, China[201607020043] ; CAS/SAFEA International Partnership Program for Creative Research Teams, Science and Technology Planning Project of Guangdong Province, China[2015A020217009] ; Chinese Academy of Sciences[ISEE2018PY05]
WOS KeywordSELECTIVE DATA ASSIMILATION ; GLOBAL OCEAN PREDICTION ; TROPICAL CYCLONE TRACK ; MODEL ; SYSTEM ; DYNAMICS ; PROGRESS ; SCHEME ; EDDY
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000499638200001
PublisherNATURE PUBLISHING GROUP
Citation statistics
Document Type期刊论文
Version出版稿
Identifierhttp://ir.idsse.ac.cn/handle/183446/7357
Collection深海科学研究部_海洋环流观测与数值模拟研究室
Corresponding AuthorPeng, Shiqiu; Yu, Jiancheng
Affiliation1.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China
2.Qingdao Natl Lab Marine Sci & Technol, Lab Reg Oceanog & Numer Modeling, Qingdao, Shandong, Peoples R China
3.Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang, Liaoning, Peoples R China
4.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Sanya, Peoples R China
5.Univ Calif Los Angeles, Joint Inst Reg Earth Syst Sci & Engn, Los Angeles, CA USA
6.Chinese Acad Sci, Inst South China Sea Ecol & Environm Engn, Guangzhou, Guangdong, Peoples R China
7.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Peng, Shiqiu,Zhu, Yuhang,Li, Zhijin,et al. Improving the Real-time Marine Forecasting of the Northern South China Sea by Assimilation of Glider-observed T/S Profiles[J]. SCIENTIFIC REPORTS,2019,9:9.
APA Peng, Shiqiu.,Zhu, Yuhang.,Li, Zhijin.,Li, Yineng.,Xie, Qiang.,...&Yu, Jiancheng.(2019).Improving the Real-time Marine Forecasting of the Northern South China Sea by Assimilation of Glider-observed T/S Profiles.SCIENTIFIC REPORTS,9,9.
MLA Peng, Shiqiu,et al."Improving the Real-time Marine Forecasting of the Northern South China Sea by Assimilation of Glider-observed T/S Profiles".SCIENTIFIC REPORTS 9(2019):9.
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