Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling
Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling
Deep Learning is becoming an increasingly important way to produce accurate hydrological predictions across a wide range of spatial and temporal scales. Uncertainty estimations are critical for actionable hydrological forecasting, and while standardized community benchmarks are becoming an increasingly important part of hydrological model development and research, similar tools for …