Effects of meteorological forcing uncertainty on high-resolution snow modeling and streamflow prediction in a mountainous karst watershed

•Hybrid snow and deep learning models simulate snowmelt and streamflow of a mountainous karst watershed.•Choice of meteorological forcing and downscaling led to different spatiotemporal patterns of snowmelt.•The deep learning model learned streamflow responses that vary across meteorological forcing sets.•Averaging streamflow simulated from all meteorological forcing yielded the highest accuracy.