A recent study is transforming the field of streamflow prediction. By harnessing the power of transfer learning, researchers have developed a model that significantly boosts the precision of daily ...
Accurate streamflow forecasting is critical for water resources management, flood mitigation and hydropower operations worldwide. Traditional hydrological models based on physical processes often ...
A 9-km daily gridded streamflow dataset is generated using the Variable Infiltration Capacity-River Routing Model (VIC-RRM) across the Ganges-Brahmaputra-Meghna River basins over 1951–2023, forced by ...
Researchers at the Institute of Industrial Science, the University of Tokyo (UTokyo-IIS), have developed a real-time data ...