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The existing rainfall-runoff models require discharge data for their calibration even though there will be uncertainties in the discharge data resulting from errors in rating curves. The direct prediction of observed water level will reduce the model uncertainties which is often sufficient to make an early warning about the flooding.
In this study, therefore, we aim to propose a generalized storage function (GSF) model for the water level prediction from the rating curve relationship by considering the spatial distribution of rainfall over the basin and incorporating all the possible inflow and outflow components in order to reduce the uncertainties involved.
The results revealed that the GSF model performed well in reproducing the water level hydrograph.
