Distributed long-term hourly streamflow predictions using deep learning โ A case study for State of Iowa
Distributed long-term hourly streamflow predictions using deep learning โ A case study for State of Iowa
Accurate streamflow forecasting has always been a challenge. Although there were many novel approaches using deep learning models, accuracy of these models is often limited to a short lead time. This study proposes a new deep recurrent neural network approach, Neural Runoff Model (NRM), which has been applied on 125 โฆ