Assessment of IMERG v06 Satellite Precipitation Products in the Canadian Great Lakes Region

Abstract The Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (GPM; IMERG) is a high-resolution gridded precipitation dataset widely used around the world. This study assessed performance of half-hourly IMERG v06 Early and Final Runs over 5-yr period versus 19 high-quality surface stations in Great Lakes region North America. assessment not only looked at occurrence amount, but also studied Quality Index (QI) errors related to passive microwave (PMW) sources. Analysis bias accumulated amount statistics suggests that presents various uncertainties with respect time scale, meteorological season, PMW source, QI, land type. Results indicate 1) cold season’s (November–April) larger relative can be mitigated via backward morphing; 2) 6-h scored best warmest season (JJA) consistent overestimation frequency index − 1 (FBI-1); 3) five sources affected by different degrees; 4) terms some metrics, skills do always enhance increasing QI; 5) local lake effects lead higher correlation equitable threat score (ETS) closest lakes. this will beneficial both developers users products. Significance Statement purpose was assess product from (IMERG) version 6 performs statistical comparison amounts as function event threshold, input source among satellites. Interpretation results identifies shortcomings algorithms, particularly extreme events ice-covered surfaces. describe spatial variability data quality due complex geography area offer clear threshold flag optimal application