Evaluating the Potential of GloFAS-ERA5 River Discharge Reanalysis Data for Calibrating the SWAT Model in the Grande San Miguel River Basin (El Salvador)

Hydrological modelling requires accurate climate data with high spatial-temporal resolution, which is often unavailable in certain parts of the world—such as Central America. Numerous studies have previously demonstrated that hydrological modelling, global weather reanalysis provides a viable alternative to observed data. However, calibrating and validating models use discharge data, also frequently unavailable. Recent, global-scale applications been developed based on from reanalysis; these allow streamflows satisfactory resolution be obtained. An example Global Flood Awareness System (GloFAS), uses fifth generation produced by European Centre for Medium-Range Weather Forecasts (ERA5) input. It 1979 present 0.1°. This study assesses potential GloFAS ungauged basins. For this purpose, quality ERA5 Climate Hazards Group InfraRed Precipitation Temperature Station well Forecast Reanalysis (CFSR) was analysed. The focus flow simulation using Soil Water Assessment Tool (SWAT) model. were calibrated Our results indicate all datasets displayed an acceptable fit precipitation temperature correlation coefficient (CC) between indicates strong relationship at monthly level analysed stations (CC > 0.80). Kling–Gupta Efficiency (KGE) showed performance SWAT (KGE 0.74). We concluded has substantial estimate streamflow watersheds. approach can aid water resource management.