聚类分析在X波段双偏振雷达相态识别中的应用

Application of Cluster Analysis in Hydrometeor Identification Based on X-Band Dual-Polarized Radar

X波段双偏振雷达在降水相态识别方面有较大优势,目前较为常用的方法为模糊逻辑算法,具有较好的识别能力,该方法主要依赖于水凝物的成员函数,但是对于不同雷达的系统老化问题,需要调整相对应的成员函数。针对此问题,本文提出采用聚类分析的方法进行降水相态识别,在完成相态识别后,可以统计不同水凝物雷达参数的分布特征,重新构建适合该雷达的成员函数。聚类分析方法在相态识别实验中表现良好,但仍存在一定的问题,在不引入温度的情况下部分水凝物无法识别。

X-Band Dual-Polarized radar has great advantages in precipitation hydrometeor identification.At present,the commonly used method is the fuzzy logic algorithm,which has better recognition ability.This method mainly depends on the membership function of the hydrometeor but it needs to adjust the suitable membership function for the aging problem of different radar sets.To solve this problem,this paper proposes the method of cluster analysis for precipitation phase-state recognition.After the phase-state recognition,the distribution of different radar parameters can be counted as the suitable membership function for the radar.The cluster analysis method performs well in the hydrometeor identification experiment,but there are still some problems.Some hydrometeor cannot be identified without the introduction of temperature,which is described.