Forecasting Magnitude and Frequency of Seasonal Streamflow Extremes Using a Bayesian Hierarchical Framework

We develop a space-time Bayesian hierarchical modeling (BHM) framework for two flood risk attributes-seasonal daily maximum flow and the number of events that exceed a threshold during a season (NEETM)-at a suite of gauge locations on a river network. The