A teleconnection relationship exists between watershed runoff and large-scale climate indexes. For medium- and long-term runoff prediction, a major difficulty is how to pick out those that are strongly correlated with runoff from various factors such as hydrology, meteorology, atmospheric circulation, and ocean current. This study applies a random forest model based on Bayesian optimization (sequential model-based optimization for general algorithm configuration) to selecting runoff predictors from the set of high-dimensional hydrometeorologica...
