ADGEO Advances in Geosciences ADGEO Adv. Geosci. 1680-7359 Copernicus Publications Göttingen, Germany 10.5194/adgeo-7-109-2006 Hydrometeor classification from dual-polarized weather radar: extending fuzzy logic from S-band to C-band data Marzano F. S. 1 2 Scaranari D. 2 Celano M. 3 4 Alberoni P. P. 3 Vulpiani G. 1 Montopoli M. 1 CETEMPS, Università dell'Aquila, L'Aquila, Italy DIE, Università degli Studi di Roma "La Sapienza", Rome, Italy ARPA-SIM, Bologna, Italy DF, Università di Ferrara, Ferrara, Italy 14 02 2006 7 109 114 Copyright: © 2006 F. S. Marzano et al. 2006 This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Generic License. To view a copy of this licence, visit https://creativecommons.org/licenses/by-nc-sa/2.5/ This article is available from https://adgeo.copernicus.org/articles/7/109/2006/adgeo-7-109-2006.html The full text article is available as a PDF file from https://adgeo.copernicus.org/articles/7/109/2006/adgeo-7-109-2006.pdf

A model-based fuzzy classification method for C-band polarimetric radar data, named Fuzzy Radar Algorithm for Hydrometeor Classification at C-band (FRAHCC), is presented. Membership functions are designed for best fitting simulation data at C-band, and they are derived for ten different hydrometeor classes by means of a scattering model, based on T-Matrix numerical method. The fuzzy logic classification technique uses a reduced set of polarimetric observables, i.e. copolar reflectivity and differential reflectivity, and it is finally applied to data coming from radar sites located in Gattatico and S. Pietro Capofiume in North Italy. The final purpose is to show qualitative accuracy improvements with respect to the use of a set of ten bidimensional MBFs, previously adopted and well suited to S-band data but not to C-band data.