Bayesian prediction of minimum river runoff under nonstationary conditions of future climate change

Abstract

The problem of runoff prediction taking into account the possible climate change is considered using the Bayesian approach. The proposed technique is applied to the probabilistic forecasting of minimum runoff variations on the rivers of the Volga River basin.