Improving Daily Streamflow Forecasting under Non-stationarity with a Physics-Informed, Decomposition-Enhanced Deep Learning Model
Accurate and reliable streamflow forecasting is essential for hydropower generation, aquatic ecosystem management, and integrated water resource use. However, with ongoing climate change, streamflow series are increasingly exhibiting pronounced non-stationarity and non-linearity, which poses significant challenges fo...