A comparison of wind stress datasets for the South China Sea

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• 作者：Zhan Lian ; Guohong Fang ; Zexun Wei ; Gang Wang ; Baonan Sun ; Yaohua Zhu
• 关键词：South China Sea ; Wind stress ; Wind stress curl ; Sverdrup circulation
• 刊名：Ocean Dynamics
• 出版年：2015
• 出版时间：May 2015
• 年：2015
• 卷：65
• 期：5
• 页码：721-734
• 全文大小：12,934 KB
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• 作者单位：Zhan Lian (1) (2) (3)
  Guohong Fang (1) (2)
  Zexun Wei (2)
  Gang Wang (2)
  Baonan Sun (2)
  Yaohua Zhu (2)
  
  1. State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China
  2. Key Laboratory of Marine Science and Numerical Modeling, The First Institute of Oceanography, State Oceanic Administration, 6 Xian-Xia-Ling Rd., Qingdao, 266061, China
  3. University of Chinese Academy of Sciences, Beijing, 100039, China
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Oceanography
  Geophysics and Geodesy
  Meteorology and Climatology
  Fluids
  Structural Foundations and Hydraulic Engineering
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1616-7228

文摘

The wind stresses and their derived wind stress curls, and Sverdrup stream functions over the South China Sea (SCS) in typical winter and summer months from nine datasets are compared. The datasets include CCMP, CERSAT, ASCAT, QSCAT, NCEP, QSCAT-NCEP, HR, ERA-40, and ERA-Interim. Results show that the overall patterns of the wind stresses, wind stress curls, and Sverdrup stream functions from different datasets are similar. However, their magnitudes are remarkably different. Among them, ERA-40 is the smallest while HR is the largest. The former is about 40?% smaller than the mean value, while the latter is about 50?% greater than the mean value. The spatial resolution is important for the presentation of the wind stress features in the SCS. It can be expected that the same numerical ocean model driven by different wind stress would yield remarkably different results.