Evaluation of IMERG and ERA5 Precipitation-Phase Partitioning on the Global Scale

The precipitation phase (i.e., rain and snow) is important for the global hydrologic cycle climate system. objective of this study to evaluate precipitation-phase partitioning capabilities remote sensing reanalysis modeling methods on scale. Specifically, observation data from National Centers Environmental Prediction (NCEP) Automated Data Processing (ADP), 2000 2007, are used rain–snow discrimination accuracy Integrated Multi-Satellite Retrievals Global Precipitation Measurement (IMERG) fifth-generation product European Centre Medium Range Weather Forecasts (ERA5). results show that: (1) ERA5 performs better than IMERG at distinguishing rainfall snowfall events, overall. (2) has high in all continents except South America, while well only Antarctica North America. (3) Compared with IMERG, can more effectively capture events latitudes but shows worse performance mid-low latitude regions. Both have lower under heavy precipitation. Overall, provide references application improvement products.