一种基于FCM算法的雷达反射率基数据的质量控制方案

A quality control technique of radar reflectivity data based on FCM algorithm

根据FCM(fuzzy C-means,模糊C均值)算法初步建立了一种适用于我国多普勒天气雷达反射率资料的质量控制方案,对2009年6月3—5日蚌埠、阜阳雷达站部分雷达体扫资料进行统计分析。结果表明,降水和非降水回波水平反射率结构(T)和垂直反射率差(V)均有不同的参数分布特征,并可有效区分。在此基础上以这两个参数作为FCM算法的输入特征向量,自动识别出降水回波和地物杂波。质量控制结果表明,恰当选取降水回波和地物回波的特征参数,作为FCM算法中的输入特征向量,能够有效识别这两类回波,从而剔除非降水回波,以提高质量控制的效果。

This paper proposes a method of reflectivity quality control for CINRAD Doppler weather radar in China on the basis on FCM（fuzzy C-means） algorithm.A statistical analysis was done on the reflectivity data from the radar in Bengbu and Fuyang during June 3 and 5,2009.The results showed that the precipitation and non-precipitation radar reflectivity echoes presented different features in horizontal reflectivity texture（T） and vertical difference of reflectivity（V）,which can be clearly identified.The method is able to identify the echo type automatically by using the two feature parameters in FCM.Then,the method is applied to the above data.The Quality control results showed that the appropriate characteristic parameters can be used as the feature vectors in the FCM algorithm to identify the non-precipitation echoes from the precipitation ones and the performance of the quality control can thus be improved.