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投稿时间：2006-07-17 修订日期：2007-08-10
投稿时间：2006-07-17 修订日期：2007-08-10
中文摘要: 根据大面积降水回波径向速度PPI图像产品辐合辐散特征，提出采用中值滤波法
来剔
除噪声污染和用逐点数据对称法来削弱回波缺失和距离折叠引起的误差。在考虑了降水粒子
下落速度的情况下，采用模糊定位法来提取速度图中风速性散度特征，用直方图形式表征风
向性散度特征。最后通过比较分析,说明了提取方法可较好的表征PPI速度图中的散度信
息，计算散度所表征的动力学特征与大面积降水过程有较好的对应关系。
Abstract:Based on divergence characteristics in weather radar velocity PPI cha
rts, a divergence information extracting technique is suggested. The median filt
ering method is used to eliminate noise contamination and one by one data symmet
ry technique is used to reduce the errors because of echo lacking or range foldi
ng. Considering the effect of raindrop descending speeds, fuzzy searching method
is adopted for extracting wind speed determined divergence feature and histogra
m is used for wind direction determined divergence feature. Comparative results
show that abstracting method is effective and can well display the divergence in
formation. There is a good corresponding relationship between atmospheric dynami
cs features showed by the divergence and large scale precipitation process.
keywords: Doppler weather radar one by one data symmetry method fuzzy searchi
ng technique divergence characteristics
文章编号： 中图分类号： 文献标志码：
基金项目:国家自然科学基金40665001项目资助.
引用文本：
徐芬,夏文梅,吴蕾,吴林林,2007.多普勒天气雷达速度PPI图散度分布信息提取[J].气象,33(11):21-27.
Xu Fen,Xia Wenmei,Wu Lei,Wu Linlin,2007.Extraction of Divergence Information from Velocity PPI Charts of Doppler Weather Radar[J].Meteor Mon,33(11):21-27.
徐芬,夏文梅,吴蕾,吴林林,2007.多普勒天气雷达速度PPI图散度分布信息提取[J].气象,33(11):21-27.
Xu Fen,Xia Wenmei,Wu Lei,Wu Linlin,2007.Extraction of Divergence Information from Velocity PPI Charts of Doppler Weather Radar[J].Meteor Mon,33(11):21-27.