Application of hierarchical Bayesian methods to a spatially explicit model of long-term mean annual streamflow for the conterminous United States

The data release documents the application of hierarchical Bayesian methods to a previously developed hybrid (statistical-mechanistic) SPARROW (SPAtially Referenced Regression On Watershed attributes) model of long-term mean annual streamflow for streams and rivers of conterminous United States. The performance and interpretability of three models were evaluated. The models included a non-hierarchical baseline model with spatially constant coefficients and model error variance, and two hierarchical models with regionally varying coefficients and model error variances, as described in the journal article (see Table 2; https://doi.org/10.1029/2019WR025037). An R script is provided that allows users to execute the three models.