A spatially explicit model of long-term mean annual streamflow for the conterminous United States
The data release documents the development of a hybrid
(statistical-mechanistic) SPARROW (SPAtially Referenced
Regression On Watershed attributes) model of long-term
mean annual streamflow applied to streams and rivers of
conterminous United States. The model coupled previous
catchment-scale (1-km) water balance predictions of “natural”
unit-area runoff, which are inclusive of major water cycling
processes, with additional explanatory variables (e.g., soils,
vegetation, land use, topography, water losses in streams
and reservoirs) that account for the effects of natural and
cultural water supply and demand processes that operate
over large spatial scales and explain streamflow variability
across the conterminous United States river basins. The
model performance was compared with that for six more
simple models as described in the journal article. This
USGS data release contains all of the input and output
files for the execution of all of the models described in the
journal article (see Table 1; https://doi.org/10.1029/2019WR025001).
An R script is provided that allows users to execute the
seven models.
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "Richard B. Alexander",
"@type": "vcard:Contact",
"hasEmail": "mailto:ralex@usgs.gov"
}
|
| description | The data release documents the development of a hybrid (statistical-mechanistic) SPARROW (SPAtially Referenced Regression On Watershed attributes) model of long-term mean annual streamflow applied to streams and rivers of conterminous United States. The model coupled previous catchment-scale (1-km) water balance predictions of “natural” unit-area runoff, which are inclusive of major water cycling processes, with additional explanatory variables (e.g., soils, vegetation, land use, topography, water losses in streams and reservoirs) that account for the effects of natural and cultural water supply and demand processes that operate over large spatial scales and explain streamflow variability across the conterminous United States river basins. The model performance was compared with that for six more simple models as described in the journal article. This USGS data release contains all of the input and output files for the execution of all of the models described in the journal article (see Table 1; https://doi.org/10.1029/2019WR025001). An R script is provided that allows users to execute the seven models. |
| distribution |
[
{
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"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P9NT387B",
"mediaType": "application/http",
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"title": "Original Metadata",
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"downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.9c8570be-f2e9-4fc7-beb2-79806f290763.xml"
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|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_9c8570be-f2e9-4fc7-beb2-79806f290763 |
| keyword |
[
"Groundwater and surface-water interaction",
"InlandWaters",
"SPARROW",
"Surfacewater",
"Surfacewater Model",
"USGS:9c8570be-f2e9-4fc7-beb2-79806f290763",
"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 | A spatially explicit model of long-term mean annual streamflow for the conterminous United States |
