Abstract Streamflow Q estimation in ungauged catchments is one of the greatest challenges facing hydrologists Observed Q from 3000 to 4000 small to medium sized catchments 10 10 000 km2 around the globe were used to train neural network ensembles to estimate Q characteristics based on climate and physiographic characteristics of the catchments In total 17 Q characteristics were selected
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