Tag: deep learning in hydrology

A Norwegian study shows that a deep learning LSTM network outperforms the country's operational HBV model in simulating both snowmelt- ...

A hybrid deep learning and geostatistical workflow called CBAG substantially corrects IMERG satellite rainfall bias in a mountainous basin and ...

Streamflow forecasting has long been one of hydrology's most stubborn challenges, but a new study from Türkiye suggests that deep ...

In the rapidly urbanizing landscapes of the 21st century, effective prediction of urban pluvial flooding—a phenomenon increasingly aggravated by climate ...