A space-time Bayesian hierarchical modeling framework for projection of seasonal maximum streamflow
Date Issued
2022-01
Author(s) USM
DOI
10.5194/hess-26-149-2022
Abstract
Timely projections of seasonal streamflow extremes can be useful for the early implementation of annual flood risk adaptation strategies. However, predicting seasonal extremes is challenging, particularly under nonstationary conditions and if extremes are
