Comparative Analysis of Raindrop Size Distribution Retrieval Techniques Based on Dual Polarization Radar

Accurate retrieval of raindrop size distributions （DSDs） based on dual-polarization radar can provide substantial data for the study of precipitation microphysical properties on a large scale.In order to further improve DSDs retrieval accuracy， this study proposes a new double-moment normalization method based on the sixth and seventh moments （M6M7 method）， comparing it with the third and sixth moments method （M3M6 method） and the constrained Gamma model DSD retrieval method （C-G method） from three perspectives： overall results， different rainfall intensities， and different rainfall particle sizes.Utilizing data from six rainfall events observed by dual-polarization radar and surrounding disdrometers at Heyuan station between May and June 2022， the retrieval results of each algorithm were analyzed.The results demonstrate that during light rain （0 mm·h-130 mm·h-1）， resulting in smaller estimation biases for intense rainfall events and a decreasing trend in bias with larger particle sizes （excluding LWC and R）.For moderate rain （5 mm·h-1