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

钱德拉摘要 冬、春季偏振特征的研究 使用CSU-CHILL雷达的时间风暴 本研究的目的是使用CSU-CHILL雷达研究冬春季风暴的偏振特征。 重点将放在基于神经网络/傅立叶描述符的图像分类技术来处理二维PM 水凝物图像，用于与偏振特征进行现场比较。 CSU-CHILL雷达的新型高性能低副瓣天线系统对研究极化特征的意义将被B观察到。 将研究极化雷达特征信号的空间和时间演变，以确定几个水凝物习性区的平均特征信号。 多维参数集将用于水文气象和降水类型的分类。 总体目标是研究偏振雷达信号在研究冬季和春季风暴降水类型和分布方面的应用。

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.