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Flood forecasting is of increasing importance as it comes to an increasing variability in global and local cli- mates. 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 up- dating procedure for the conceptual semi-distributed rainfall- runoff model PREVAH, whose runoff generation module re- lies on similar algorithms as the HBV-Model. The current conditions of the system, i.e. the contents of the upper soil reservoirs, are updated by the proposed method. The test- ing of the updating procedure on data from two mountainous catchments in Switzerland reveals a significant increase in prediction accuracy with regards to peak flow.

Technical Note: Updating procedure for flood forecasting with conceptual HBV-type models