| Comparison among four kinds of data of sea surface wind stress in the South China Sea |
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| 引用本文： | Xie Qiang,Wang Weiqiang,Mao Qingwen. Comparison among four kinds of data of sea surface wind stress in the South China Sea[J]. 海洋学报(英文版), 2002, 21(2): 263-273 |
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| 作者姓名： | Xie Qiang Wang Weiqiang Mao Qingwen |
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| 作者单位： | Xie Qiang，Wang Weiqiang，Mao Qingwen1. Laboratory for Tropical Marine Environmental Dynamics，South China Sea Institute of Oceanology Chinese Academy of Sciences，Guangzhou 510301，China |
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| 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，the Knowledge Innovatio |
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| 摘 要： | By using remote sensing (ERS) data, FSU data, COADS data and Hellerman & Rosen-stein 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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| 关 键 词： | The South China Sea sea surface wind stress climatology |
| 收稿时间： | 2001-10-12 |
| 修稿时间： | 2002-02-15 |
Comparison among four kinds of data of sea surface wind stress in the South China Sea |
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| Xie Qiang,Wang Weiqiang and Mao Qingwen. Comparison among four kinds of data of sea surface wind stress in the South China Sea[J]. Acta Oceanologica Sinica, 2002, 21(2): 263-273 |
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| Authors: | Xie Qiang Wang Weiqiang Mao Qingwen |
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| Affiliation: | Laboratory for Tropical Marine Environmental Dynamics, South China Sea Institute of Oceanology Chinese Academy of Sciences, Guangzhou 510301, China |
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| Abstract: | By using remote sensing (ERS) data, FSU data, COADS data and Hellerman & Rosen-stein 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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| Keywords: | The South China Sea sea surface wind stress climatology |
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