Recent updates on precipitation type classification and hydrometeor identification algorithm for GPM-DPR

The dual precipitation radar (DPR) on board the GPM (Global precipitation measurement) core observatory satellite is expected to improve our knowledge of precipitation processes. DPR offers dual frequency observations (Ku and Ka band) along the vertical profiles which allow us to investigate the microphysics using the difference between two frequency observations (measured dual frequency ratio or DFRm). DFRm has been shown in the literature to be rich in information and can be used to perform precipitation type classification and hydrometeor type identification. This paper shows recent updates of the analysis on these two models. Analysis is focused on the availability of the algorithm to DPR vertical and horizontal resolution. The algorithm is also evaluated using off-nadir data from airborne precipitation radar (APR-2).