APPLICATION AND ASSESSMENT OF GPM-BASED NEAR-REAL-TIME SATELLITE PRECIPITATION PRODUCTS IN MONITORING DIURNAL PRECIPITATION VARIATION OVER TAIWAN

This study evaluated the performance of four near-real-time (NRT) multiple-satellite precipitation products (MSPPs) from the Global Precipitation Measurement (GPM) mission in depicting the variation in diurnal precipitation from 2017 to 2020, in May to September (MJJAS). The four NRT MSPPs include the V06 of Integrated Multi-satellitE Retrievals for the GPM Early Run (IMERG-E) and Late Run (IMERG-L), and the V07 of Global Satellite Mapping of Precipitation NRT (GSMaP-N) and Gauge-NRT (GSMaP-GN). Two sub-components of diurnal precipitation variation were evaluated, daily mean (Pm) and anomalies (ΔP); ΔP was further separated into diurnal (S1) and semidiurnal (S2) harmonic modes. Compared with surface observations, results show that all NRT MSPPs underestimate Pm and ΔP, but IMERG products are better than GSMaP products in most of the examined spatial characteristics. Temporally, only IMERG-E depicts the phase evolution of both S1 and S2, similar to surface observations. These findings indicate that IMERG-E is the best NRT product for studying the diurnal precipitation characteristics across MJJAS in Taiwan. The general bias in the NRT MSPPs considered in the study in depicting the features examined was attributed to the limitation of passive microwave sensors in illustrating the developing and dissipating stage of diurnal precipitation formation, and to the weakness of infrared precipitation algorithms in detecting warm orographic clouds.