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A model-based fuzzy classification method for Cband\udpolarimetric radar data, named Fuzzy Radar Algorithm\udfor Hydrometeor Classification at C-band (FRAHCC), is presented.\udMembership functions are designed for best fitting\udsimulation data at C-band, and they are derived for ten different\udhydrometeor classes by means of a scattering model,\udbased on T-Matrix numerical method. The fuzzy logic classification\udtechnique uses a reduced set of polarimetric observables,\udi.e. copolar reflectivity and differential reflectivity, and\udit is finally applied to data coming from radar sites located in\udGattatico and S. Pietro Capofiume in North Italy. The final\udpurpose is to show qualitative accuracy improvements with\udrespect to the use of a set of ten bidimensional MBFs, previously\udadopted and well suited to S-band data but not to\udC-band data

Hydrometeor classification from dual-polarized weather radar: extending fuzzy logic from S-band to C-band data