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Flood forecasting is of increasing importance as it comes to an increasing variability in global and local climates. But rainfall-runoff models are far from being perfect. In order to achieve a better prediction for emerging flood events, the model outputs have to be continuously updated. This contribution introduces a rather simple, yet effective updating procedure for the conceptual semi-distributed rainfallrunoff model PREVAH, whose runoff generation module relies on similar algorithms asdoi:10.5194/hess-10-783-2006 fatcat:l4f54ajpqna3fpbb75z24m47qi