SELECTION AND PARAMETRIZATION OF PREDICTION MODELS OF RIVER FLOW

V. A. Kuzmin

Robust statistical techniques are used to obtain objective selection criteria for prediction models that provide the highest forecast skill. Methods are proposed for increasing practical confidence in the forecast. Procedures are described that overcome drawbacks related to low quality of preliminary information.