Abstract: Hydrometeor classification system using fuzzy logic technique based on dual-polarization radar measurements is presented. In this study, five radar measurements (horizontal reflectivity, differential reflectivity, specific differential phase, correlation coefficient, and linear depolarization ratio), and height relating to environmental melting level are used as input variables of the system. The hydrometeor classification system chooses one of nine different hydrometeor categories as output. The system presented in this paper is a further deve...
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Topics: 
Remote sensing
Meteorology