Sep, 2026
Journal
HydroTFT: a cross-basin attention model for multi-horizon rainfall–runoff prediction
Streamflow prediction is essential for water resources management, flood forecasting, and climate resilience. Long short-term memory (LSTM) networks have advanced large-sample hydrology through cross-basin learning, but their recurrent architectures have limited ability to capture long-range temporal dependencies, particularly for medium-range forecasting. Meanwhile, exist…