Assessing Near Real-Time Satellite Precipitation Products for Flood Simulations at Sub-Daily Scales in a Sparsely Gauged Watershed in Peruvian Andes

This study investigates the applicability of Satellite Precipitation Products (SPPs) in near real-time for simulation sub-daily runoff Vilcanota River basin, located southeastern Andes Peru. The data from rain gauge stations are used to evaluate quality Integrated Multi-satellite Retrievals GPM–Early (IMERG-E), Global Mapping Precipitation–Near Real-Time (GSMaP-NRT), Climate Prediction Center Morphing Method (CMORPH), and HydroEstimator (HE) at pixel-station level; these SPPs as meteorological inputs hourly hydrological modeling. GR4H model is calibrated with hydrometric station longest record, simulations also verified one upstream two downstream calibration point. Comparing precipitation observed, results show that IMERG-E product generally presents higher quality, followed by GSMaP-NRT, CMORPH, HE. Although present positive negative biases, ranging mild moderate, they do represent diurnal seasonal variability area. In terms average Kling-Gupta metric (KGE), GR4H_GSMaP-NRT’ yielded best representation discharges (0.686), GR4H_IMERG-E’ (0.623), GR4H_Ensemble-Mean (0.617) GR4H_CMORPH’ (0.606), GR4H_HE’ (0.516). Finally, showed a high potential monitoring floods basin operational level. obtained this research very useful implementing flood early warning systems will allow short-term forecasting Peruvian National Weather Hydrological Service.