Studies of Polarimetric Signatures in Winter and Spring Time Storms Using the CSU-CHILL Radar

利用CSU-CHILL雷达研究冬季和春季风暴的偏振特征。本文利用CSU-CHILL雷达研究冬季和春季风暴的偏振特征。特别强调的是基于神经网络/傅立叶描述符的图像分类技术，以处理水成物的2D-PM图像，以便与极化特征进行原位比较。分析了CSU-CHILL雷达新型高性能低旁瓣天线系统对极化特征研究的意义。将研究极化雷达特征的时空演变，以建立几个水成物习性区域的平均特征。多维参数集将用于水流星和降水类型的分类。总体目标是研究偏振雷达特征在冬季和春季风暴降水类型和分布中的应用。

Chandra Abstract Studies of Polarimetric Signatures in Winter and Spring Time Storms Using the CSU-CHILL Radar The objective of this research is to study polarimetric signatures in winter and spring time storms using the CSU-CHILL radar. Special emphasis will be placed on Neural network/Fourier descriptor based image classification techniques to process 2D-PM images of hydrometeors for insitu comparison with polarimetric signatures. The significance of the new high performance low side lobe antenna system of the CSU-CHILL radar for studying polarimetric signatures will b observed. Spatial and temporal evolution of polarimetric radar signatures will be studied to develop average signatures in several hydrometeor habit regions. Multidimensional parameter set will be used for classification of hydrometeor and precipitation types. The overall goal is to study the application of polarimetric radar signatures to study the type and distribution of precipitation in winter and spring storms.