Application of hierarchical Bayesian methods to a spatially explicit model of long-term mean annual streamflow for the conterminous United States
Dates
Release Date
2019-01-01
Start Date
1997-01-01
End Date
2007-12-31
Publication Date
2023-09-15
Citation
Alexander, R.B. and Schwarz, G.E., 2019, Application of hierarchical Bayesian methods to a spatially explicit model of long-term mean annual streamflow for the conterminous United States: U.S. Geological Survey data release, https://doi.org/10.5066/P9JSVCZX.
Summary
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.
Summary
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.
The objective of the models was to compare the performance of a baseline non-hierarchical version of the model with that of two hierarchical versions of the model of long-term mean annual streamflow, applied to streams and rivers of the conterminous United States. The background for the development of the model input and output files included in this data release is documented in the journal article (https://doi.org/10.1029/2019WR025037).
Preview Image
Image of the calibration and validation sites for the model domain and active area of the model.