QuikSCAT卫星散射计矢量风检验及南海月平均风场特征分析
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国家自然科学基金资助项目(41275113);行业专项"南海热带云团及其强风监测预警技术研究"(GYHY201106036)


Validation of QuikSCAT satellite scatterometer winds and characteristics of monthly mean wind speed in South China Sea
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    摘要:

    采用中国科学院南海海洋研究所2008年建设的,西沙海洋观测研究站上的自动气象站实测数据,对亚太数据研究中心提供的近实时QuikSCAT卫星遥感风场资料(2008年4月6日—12月31日)进行了检验和统计特征分析,得出:这两者风速的相关系数为0.86,平均偏差为-1.50 m/s,均方根误差为1.71 m/s,表明QuikSCAT卫星遥感风场资料在南海具有很高的适用性。在此基础上,利用QuikSCAT卫星遥感的月平均风场资料分析了南海月平均风场特征。结果表明:(1)南海季风10月到次年3月盛行东北风,6—8月盛行西南风,4、5、9月为季风转换季节;(2)存在两个平均风速大值中心,一个位于南海南部(10 °N,108 °E)附近,另一个位于台湾海峡附近,其位置和强度会随着季节变化而变动。

    Abstract:

    Comparisons are firstly made between QuikSCAT sea surface wind data of South China Sea from the Asia-Pacific Data-Research Center and surface wind observations from Xisha observation station established by institute of South China Sea Oceanography, Chinese Academy of Science during April 6-December 31, 2008. The wind speed correlation coefficient between the above two is 0.86, the mean deviation is -1.50 m/s, and the root mean square error is 1.71 m/s, which suggests that QuikSCAT scatterometer surface wind data in South China Sea are very useful. And then, the monthly mean QuikSCAT surface wind data are used to analyze climatic characteristics of South China Sea. The results show that the surface wind field in South China Sea has the following features: (1) The South China Sea monsoon changes with seasons, that is, from October to next March the northeaster prevails; from June to August, the southwester prevails, While April,May and September are transitional periods. (2)There are two average wind speed value centers: one is located near the south 108 °E,10 °N of South China Sea, while the other near the Taiwan Strait, whose site and intensity change with seasons.

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王慧鹏,王春明,项杰,李健,刘春霞. QuikSCAT卫星散射计矢量风检验及南海月平均风场特征分析.气象科学,2014,34(1):54-59 WANG Huipeng, WANG Chunming, XIANG Jie, LI Jian, LIU Chunxia. Validation of QuikSCAT satellite scatterometer winds and characteristics of monthly mean wind speed in South China Sea. Journal of the Meteorological Sciences,2014,34(1):54-59

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  • 收稿日期:2011-08-29
  • 最后修改日期:2012-10-24
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  • 在线发布日期: 2014-02-21
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