A Recognition Method of Hydrometeor in Tropical Cyclones by Using the GPM Dual‐Frequency Precipitation Radar

In this paper, we propose a fuzzy logic algorithm to recognize the types of hydrometeors by using ka and ku reflectivity factors, temperature thresholds and an asymmetric t-form membership function. the identifiable types of hydrometeors include snow, graupel, mixed-phase particles, large raindrops, and small raindrops. the reflectivity detection data of ka and ku with attenuation correction is from dual-frequency precipitation radar onboard the global precipitation measurement satellite. the temperature data from the European Centre for medium-range weather forecasts are used to identify the hydrometeors. and the identified hydrometeors are compared with the vertical profiles of phase from official level-2 DPR products. the results show that the identified hydrometeors are reasonable and reveal the evolution process of tropical cyclones, which can befurther applied to the study of precipitation microphysical process and artificial precipitation.