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Xie Qiang,Wang Weiqiang,Mao Qingwen.Comparison among four kinds of data of sea surface wind stress in the South China Sea[J].Acta Oceanologica Sinica,2002,(2):263-273
Comparison among four kinds of data of sea surface wind stress in the South China Sea
Comparison among four kinds of data of sea surface wind stress in the South China Sea
投稿时间:2001-10-12  修订日期:2002-02-15
DOI:
中文关键词:  The South China Sea  sea surface wind stress  climatology
英文关键词:The South China Sea  sea surface wind stress  climatology
基金项目:This work was supported by the National Natural Science Foundation of China under contract Grand No. 40106002; the Major State Basic Research Program under contract Grant No. 1999043806 and the Knowledge Innovation Project of the Chinese Acaderny of Sciences under contract Grant No.KZCX2-205.
作者单位
Xie Qiang Laboratory for Tropical Marine Environmental Dynamics, South China Sea Institute of Oceanology Chinese Academy of Sciences, Guangzhou 510301, China 
Wang Weiqiang Laboratory for Tropical Marine Environmental Dynamics, South China Sea Institute of Oceanology Chinese Academy of Sciences, Guangzhou 510301, China 
Mao Qingwen Laboratory for Tropical Marine Environmental Dynamics, South China Sea Institute of Oceanology Chinese Academy of Sciences, Guangzhou 510301, China 
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中文摘要:
      By using remote sensing (ERS) data,FSU data,COADS data and Hellerman & Rosenstein objective analysis data to analyze the sea surface wind stress in the South China Sea,it is found that the remote sensing data have higher resolution and more reasonable values.Therefore we suggest that remote sensing data be chosen in the study of climatological features of sea surface wind stress and its seasonal variability in the South China Sea,especially in the study of small and middle scale eddies.
英文摘要:
      By using remote sensing (ERS) data,FSU data,COADS data and Hellerman & Rosenstein objective analysis data to analyze the sea surface wind stress in the South China Sea,it is found that the remote sensing data have higher resolution and more reasonable values.Therefore we suggest that remote sensing data be chosen in the study of climatological features of sea surface wind stress and its seasonal variability in the South China Sea,especially in the study of small and middle scale eddies.
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