Assessment of the IMERG Early-Run Precipitation Estimates over South American Country of Chile

Accurate rainfall measurement is a challenge, especially in regions with diverse climates and complex topography. Thus, knowledge of precipitation patterns requires observational networks very high spatial temporal resolution, which difficult to construct remote areas geological features such as desert mountains, particularly countries topographical variability Chile. This study evaluated the performance near-real-time Integrated Multi-satellite Retrievals for GPM (IMERG) Early product throughout Chile, country located South America between 16°S–66°S latitude. The accuracy IMERG was assessed at different special scales from 2015 2020. Relative Bias (PBIAS), Mean Absolute Error (MAE), Root-Mean-Squared (RMSE) were used quantify errors satellite estimates, while Probability Detection (POD), False Alarm Ratio (FAR), Critical Success Index (CSI) evaluate detection accuracy. In addition, consistency estimates ground observations using Correlation Coefficient (CC). results show that had best over central zone, detected yearly dataset. latitude increases, so do errors. Also, tends slightly overestimate country. this could contribute towards improvement algorithms open research opportunities latitudes,