A spatially explicit model of long-term mean annual streamflow for the conterminous United States
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.
Resources
| Name |
Format |
Description |
Link |
|
55 |
Landing page for access to the data |
https://doi.org/10.5066/P9NT387B |
|
55 |
The metadata original format |
https://data.usgs.gov/datacatalog/metadata/USGS.9c8570be-f2e9-4fc7-beb2-79806f290763.xml |
Tags
- environment
- groundwater-and-surface-water-interaction
- surfacewater-model
- surfacewater
- usgs-9c8570be-f2e9-4fc7-beb2-79806f290763
- geoscientificinformation
- inlandwaters
- usgssurfacewatermodel
- sparrow