A Preliminary Analysis Of Cloud Classification Results Using Ka-Band Polarimetric Radar Signatures

Surface based millimeter wave radar systems play a substantial role in remote sensing of clouds. A preliminary analysis of the results obtained from the algorithm developed for cloud classification is presented. Our aim is to classify different cloud types (drizzling, precipitating, Mixed Phase, Ice clouds and non-meteorological targets) solely based on Ka-band radar data. A fuzzy logic technique is adopted and is applied to few cases which infer useful information for cloud studies. Sample datasets from the Ka-band scanning Polarimetric radar (KASPR) of Indian Institute of Tropical Meteorology (IITM), Pune are used for the initial testing of the said algorithm. The developed algorithm would be implemented in Ka-band cloud profiling radar being indigenously developed by SAMEER.