Understanding the impact of climate model resolution on the representation of extreme hydrometeorological events is essential for improving flood risk assessment. This study evaluates the added value of convection-permitting climate simulations by comparing three hourly Weather Research and Forecasting (WRF) model simulations, driven by ERA-Interim reanalysis, at spatial resolutions of 4 km, 25 km, and 50 km. The ability of these simulations to reproduce observed extreme summer-fall precipitation and annual maximum summer and fall flood events is assessed across 12 southern Quebec watersheds (61–1550 km²). The ERA5-Land dataset serves as a reference for bias correction and hydrological model calibration. Streamflows are simulated using the GR5dt hydrological model at hourly time step. Preliminary results indicate that all three bias-corrected WRF simulations perform well in capturing extreme precipitation and flood events. However, the convection-permitting 4 km simulation better reproduces flood volume and peak flows in larger watersheds (>750 km²). These findings suggest that hourly-scale hydrological modeling is key for accurately representing summer-fall extreme events. Further analysis is ongoing to refine the comparison between the three WRF simulations and assess their implications for flood modeling.
