A tank model for rainfall-runoff is used for application of the Kalman filter. The state vector, representing the parameters of the tank model and its initial values, was estimated by trial and error. The tank model using the Kalman filter with a recursive algorithm accurately predicted runoff in a basin in Korea. The filter allowed the model parameters to vary in time and reduced the physical uncertainty of the rainfall-runoff process in the river basin.
