Deep Learning-Based Multi-Step Ahead Streamflow Forecasting under RCP 4.5 and 8.5 Scenarios
The results demonstrate that deep learning models, particularly when enriched with spatially interpolated inputs and land cover variability, significantly enhance forecasting accuracy and provide valuable projections for future water availability but also informs sustainable water management strategies in climate-sensi...