A Sequential Bayesian Approach for Hydrologic Model Selection, Combination, and Predictions

Kuolin Hsu, Hamid Moradkhani, Soroosh Sorooshian & Kuolin Hsu
Recently there is a growing popularity of using multiple models in ensemble hydrologic forecasting. In those approaches, a large number of models are selected, with each model being initialized for specific behavior. Because there is no such a model which performs well at all times, it is important to identify the strength of each model and provide an effective strategy in selecting model/models under new available observations. To achieve the fast tracking of model behavior...
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