Evaluation of the Extreme Precipitation and Run Flow Characteristics on Semiarid Sub-Basin Based on Three Satellite Precipitation Products

In this study, we analyze the suitability of using CHIRPS, CMORPH and TRMM platforms (PPS) in monitoring precipitation extreme events, precipitation-runoff relationships, and seasonal/year-to-year variability on the Saltito semiarid subbasin in the Mexican state of Durango. Satellite precipitation products (PPS) in 16 sites were contrasted point to point with data from rainfall gauge stations and with daily temporal resolution for the period of four years (2015-2019). Using this information, we construct Rx1d, Rx2d, R25 mm, and RR95 extreme rainfall indices. For precipitation-runoff relationships, a runoff model based on the Storm Water Management Model (SWMM) was calibrated and validated with gauge data, and we get Qx1d, Qx2d, and Qx3d runoff indices. We use Bias Volume (%), MSE, Correlation coefficient, and Median vias to evaluate the ability of satellite products to detect and analyze extreme precipitation and run flow events. Although these sensors tend to overestimate both precipitation levels and the occurrence of extreme precipitation events, their high spatial and temporal resolution makes them a reliable tool for analyzing trends in climate change indices. As a result, they serve as a useful resource for evaluating the intensity of climate change in the region, particularly in terms of precipitation patterns. They also allow hydrological modeling and observe precipitation-runoff relationships acceptably. It is relevant in the absence of precipitation and hydrometric information, which is usually common in vast regions of the developing world.