Probabilistic deep learning models for streamflow forecasting: A case study in the Rhine basin
It is shown that a regionally trained probabilistic deep learning model improves operational streamflow forecasts 5 for the Rhine basin and highlights that deep learning can complement established operational systems without replacing them, offering a practical pathway to integrate data-driven methods into operational...
Patrick Bentheimer, B. Klein, D. Meissner
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