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.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "010:12" ] |
| contactPoint |
{ "fn": "Richard B. Alexander", "@type": "vcard:Contact", "hasEmail": "mailto:ralex@usgs.gov" } |
| description | 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. |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Digital Data", "format": "XML", "accessURL": "https://doi.org/10.5066/P9JSVCZX", "mediaType": "application/http", "description": "Landing page for access to the data" }, { "@type": "dcat:Distribution", "title": "Original Metadata", "format": "XML", "mediaType": "text/xml", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.19b9b62c-5655-4fd5-9050-78fbb020dc8a.xml" } ] |
| identifier | http://datainventory.doi.gov/id/dataset/USGS_19b9b62c-5655-4fd5-9050-78fbb020dc8a |
| keyword |
[ "Groundwater and surface-water interaction", "InlandWaters", "SPARROW", "Surfacewater", "Surfacewater Model", "USGS:19b9b62c-5655-4fd5-9050-78fbb020dc8a", "environment", "geoscientificInformation", "inlandWaters", "usgssurfacewatermodel" ] |
| modified | 2020-11-17T00:00:00Z |
| publisher |
{ "name": "U.S. Geological Survey", "@type": "org:Organization" } |
| spatial | -124.8, 24.3, -66.8, 49.3 |
| theme |
[ "geospatial" ] |
| title | Application of hierarchical Bayesian methods to a spatially explicit model of long-term mean annual streamflow for the conterminous United States |
