Evaluating Transformer and LSTM Frameworks for Prediction in Ungauged Basins

This study evaluates Transformer and LSTM frameworks for streamflow inference in ungauged basins under limited hydrological information. The LSTM architecture showed stronger overall performance than the Transformer model, and incorporating downstream information further boosted performance for all models.