Introducing entropy-based Bayesian model averaging for streamflow forecast

Bayesian Model Averaging (BMA) is a well-known statistical post-processing approach for probabilistically merging individual forecasts. In BMA, the posterior distribution of the predictand variable is determined by implementing the law of total probability. Therefore, possessing an ensemble of independent members (mutually exclusive) with the highest information content about observation variability (collectively exhaustive) is the main …