Open access
Aug 2026
BiasCast: learning and adjusting real time biases from meteorological forecasts to enhance runoff predictions
The findings highlight the value of training strategies that allow models to directly learn bias correction during forecast transitions, emphasize the operational potential of combining sequential processing with near real-time discharge observations and identify physiographic catchment characteristics as key modulators of forecast skill improvement across diverse hydroclimatic settings.
O. Konold, Moritz Feigl, Patrick Podest et al.
· Hydrology and Earth System S... · 2 citations