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Performances of seven datasets in presenting the upper ocean heat content in the South China Sea
[Chen Xiao; Yan Youfang; Cheng Xuhua; Qi Yiquan] Chinese Acad Sci, State Key Lab Trop Oceanog, South China Sea Inst Oceanol, Guangzhou 510301, Guangdong, Peoples R China; [Chen Xiao] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; qiyiquan@scsio.ac.cn
2013
Source PublicationADVANCES IN ATMOSPHERIC SCIENCES
ISSN0256-1530
Volume30Issue:5Pages:1331-1342
AbstractIn this study, the upper ocean heat content (OHC) variations in the South China Sea (SCS) during 1993-2006 were investigated by examining ocean temperatures in seven datasets, including World Ocean Atlas 2009 (WOA09) (climatology), Ishii datasets, Ocean General Circulation Model for the Earth Simulator (OFES), Simple Ocean Data Assimilation system (SODA), Global Ocean Data Assimilation System (GODAS), China Oceanic ReAnalysis system (CORA), and an ocean reanalysis dataset for the joining area of Asia and Indian-Pacific Ocean (AIPO1.0). Among these datasets, two were independent of any numerical model, four relied on data assimilation, and one was generated without any data assimilation. The annual cycles revealed by the seven datasets were similar, but the interannual variations were different. Vertical structures of temperatures along the 18A degrees N, 12.75A degrees N, and 120A degrees E sections were compared with data collected during open cruises in 1998 and 2005-08. The results indicated that Ishii, OFES, CORA, and AIPO1.0 were more consistent with the observations. Through systematic comparisons, we found that each dataset had its own shortcomings and advantages in presenting the upper OHC in the SCS.
DepartmentLTO
KeywordSouth China Sea Ocean Heat Content Multiple Datasets Interannual Variability
Subject AreaMeteorology & Atmospheric Sciences
Funding OrganizationThis study was supported by the National Basic Research Program of China (Grant Nos. 2010CB950400 and 2013CB430301), the National Natural Science Foundation of China (Grant Nos. 41276025 and 41176023), and the R&D Special Fund for Public Welfare Industry (Meteorology) (Grant No. GYHY201106036). The OFES simulation was conducted on the Earth Simulator under the support of JAMSTEC. The hydrologic data were obtained during the open cruises in the northern South China Sea in the period 2005-08, which were supported by the Data Sharing Infrastructure of Earth System Science-Data Sharing Service Center of the South China Sea and adjacent regions. Constructive remarks by two anonymous reviewers are greatly appreciated. ; This study was supported by the National Basic Research Program of China (Grant Nos. 2010CB950400 and 2013CB430301), the National Natural Science Foundation of China (Grant Nos. 41276025 and 41176023), and the R&D Special Fund for Public Welfare Industry (Meteorology) (Grant No. GYHY201106036). The OFES simulation was conducted on the Earth Simulator under the support of JAMSTEC. The hydrologic data were obtained during the open cruises in the northern South China Sea in the period 2005-08, which were supported by the Data Sharing Infrastructure of Earth System Science-Data Sharing Service Center of the South China Sea and adjacent regions. Constructive remarks by two anonymous reviewers are greatly appreciated. ; This study was supported by the National Basic Research Program of China (Grant Nos. 2010CB950400 and 2013CB430301), the National Natural Science Foundation of China (Grant Nos. 41276025 and 41176023), and the R&D Special Fund for Public Welfare Industry (Meteorology) (Grant No. GYHY201106036). The OFES simulation was conducted on the Earth Simulator under the support of JAMSTEC. The hydrologic data were obtained during the open cruises in the northern South China Sea in the period 2005-08, which were supported by the Data Sharing Infrastructure of Earth System Science-Data Sharing Service Center of the South China Sea and adjacent regions. Constructive remarks by two anonymous reviewers are greatly appreciated. ; This study was supported by the National Basic Research Program of China (Grant Nos. 2010CB950400 and 2013CB430301), the National Natural Science Foundation of China (Grant Nos. 41276025 and 41176023), and the R&D Special Fund for Public Welfare Industry (Meteorology) (Grant No. GYHY201106036). The OFES simulation was conducted on the Earth Simulator under the support of JAMSTEC. The hydrologic data were obtained during the open cruises in the northern South China Sea in the period 2005-08, which were supported by the Data Sharing Infrastructure of Earth System Science-Data Sharing Service Center of the South China Sea and adjacent regions. Constructive remarks by two anonymous reviewers are greatly appreciated.
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Language英语
Funding OrganizationThis study was supported by the National Basic Research Program of China (Grant Nos. 2010CB950400 and 2013CB430301), the National Natural Science Foundation of China (Grant Nos. 41276025 and 41176023), and the R&D Special Fund for Public Welfare Industry (Meteorology) (Grant No. GYHY201106036). The OFES simulation was conducted on the Earth Simulator under the support of JAMSTEC. The hydrologic data were obtained during the open cruises in the northern South China Sea in the period 2005-08, which were supported by the Data Sharing Infrastructure of Earth System Science-Data Sharing Service Center of the South China Sea and adjacent regions. Constructive remarks by two anonymous reviewers are greatly appreciated. ; This study was supported by the National Basic Research Program of China (Grant Nos. 2010CB950400 and 2013CB430301), the National Natural Science Foundation of China (Grant Nos. 41276025 and 41176023), and the R&D Special Fund for Public Welfare Industry (Meteorology) (Grant No. GYHY201106036). The OFES simulation was conducted on the Earth Simulator under the support of JAMSTEC. The hydrologic data were obtained during the open cruises in the northern South China Sea in the period 2005-08, which were supported by the Data Sharing Infrastructure of Earth System Science-Data Sharing Service Center of the South China Sea and adjacent regions. Constructive remarks by two anonymous reviewers are greatly appreciated. ; This study was supported by the National Basic Research Program of China (Grant Nos. 2010CB950400 and 2013CB430301), the National Natural Science Foundation of China (Grant Nos. 41276025 and 41176023), and the R&D Special Fund for Public Welfare Industry (Meteorology) (Grant No. GYHY201106036). The OFES simulation was conducted on the Earth Simulator under the support of JAMSTEC. The hydrologic data were obtained during the open cruises in the northern South China Sea in the period 2005-08, which were supported by the Data Sharing Infrastructure of Earth System Science-Data Sharing Service Center of the South China Sea and adjacent regions. Constructive remarks by two anonymous reviewers are greatly appreciated. ; This study was supported by the National Basic Research Program of China (Grant Nos. 2010CB950400 and 2013CB430301), the National Natural Science Foundation of China (Grant Nos. 41276025 and 41176023), and the R&D Special Fund for Public Welfare Industry (Meteorology) (Grant No. GYHY201106036). The OFES simulation was conducted on the Earth Simulator under the support of JAMSTEC. The hydrologic data were obtained during the open cruises in the northern South China Sea in the period 2005-08, which were supported by the Data Sharing Infrastructure of Earth System Science-Data Sharing Service Center of the South China Sea and adjacent regions. Constructive remarks by two anonymous reviewers are greatly appreciated.
WOS IDWOS:000323278000009
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Document Type期刊论文
Identifierhttp://ir.scsio.ac.cn/handle/344004/10888
Collection热带海洋环境国家重点实验室(LTO)
Corresponding Authorqiyiquan@scsio.ac.cn
Recommended Citation
GB/T 7714
[Chen Xiao,Yan Youfang,Cheng Xuhua,et al. Performances of seven datasets in presenting the upper ocean heat content in the South China Sea[J]. ADVANCES IN ATMOSPHERIC SCIENCES,2013,30(5):1331-1342.
APA [Chen Xiao,Yan Youfang,Cheng Xuhua,Qi Yiquan] Chinese Acad Sci, State Key Lab Trop Oceanog, South China Sea Inst Oceanol, Guangzhou 510301, Guangdong, Peoples R China,[Chen Xiao] Univ Chinese Acad Sci, Beijing 100049, Peoples R China,&qiyiquan@scsio.ac.cn.(2013).Performances of seven datasets in presenting the upper ocean heat content in the South China Sea.ADVANCES IN ATMOSPHERIC SCIENCES,30(5),1331-1342.
MLA [Chen Xiao,et al."Performances of seven datasets in presenting the upper ocean heat content in the South China Sea".ADVANCES IN ATMOSPHERIC SCIENCES 30.5(2013):1331-1342.
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