Identification of rain/ice mixture from dual polarization weather radar

A rain/ice mixture identification algorithm from dual polarization radar observations is described. The method uses fuzzy logic technique and three two-dimensional Beta membership functions constructed by the power of copolar correlation coefficient, the normalized coherent power, and the texture of differential propagation phase in terms of the signal-noise variable. The proposed technique is tested for two different frequency band radars such as the S-band CSU-CHILL radar and the X-band CASA-IP1 radar (KCYR) observations.