Analysis of the microphysical properties of snowfall using scanning polarimetric and vertically pointing multi-frequency Doppler radars

Abstract. Radar dual-wavelength ratio (DWR) measurements from the Stony Brook Observatory Ka-band scanning polarimetric radar (KASPR, 35 GHz), a W-band profiling (94 and next-generation K-band (24 GHz) micro rain (MRRPro) were exploited for ice particle identification using triple-frequency approaches. The results indicated that two of frequencies (K Ka band) are not sufficiently separated; thus, approaches had limited success. On other hand, joint analysis DWR, mean Doppler velocity (MDV), variables potential in identifying types distinguishing among different growth processes even revealing additional microphysical details. We investigated all DWR pairs conjunction with MDV KASPR differential reflectivity (ZDR) specific phase (KDP) quasi-vertical profiles. DWR-versus-MDV diagrams coupled observables exhibited distinct separations populations attributed to rime degrees processes. In fallstreaks, 35–94 GHz pair increased magnitude corresponding scattering calculations aggregates lower riming. values further at altitudes while ZDR slightly decreased, indicating aggregation. Particle higher similar increase but 1–1.5 m s−1 larger rapid decreases KDP ZDR. also depicted early stage riming where collocated small increases DWR. This approach will improve quantitative estimations snow amount quantities such as mass fraction. study suggests always necessary in-depth studies dual-frequency can successfully be used gain insights into hydrometeor microphysics.