U.S. flag

An official website of the United States government

icon-dot-gov

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

icon-https

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Spatial Extent of Data

USGS Thesaurus Keywords

Other Subject Keywords

Probability of Streamflow Permanence (PROSPER) output rasters, 1989-2018, upper Missouri River Basin

The PROSPER output rasters represent the estimates of probability of annual streamflow permanence produced by the PRObability of Streamflow PERmanence (PROSPER) model, for years 1989 through 2018, in the upper Missouri River Basin of the United States. The PROSPER model is a raster-based empirical model with outputs representing probabilistic predictions of an unregulated and minimally impaired stream channel in the upper Missouri River Basin, U.S. having year-round flow. This region includes 4-digit Hydrologic Unit Code boundaries 1002-1013. The model provides predictions at a 10-m spatial resolution based on monthly or annually updated values of basin climatic conditions and static physiographic variables upstream from a pixel cell along a stream network. Predictions are assigned to pixel cells on the channel network consistent with the high-resolution National Hydrography Dataset channel network stream grid.

Get Data and Metadata
Author(s) Thomas R Sando orcid, Seth A Siefken orcid, Patrick M Wurster orcid, Aaron J Heldmyer
Publication Date 2022-10-05
Beginning Date of Data 1989-01-01
Ending Date of Data 2018-12-31
Data Contact
DOI https://doi.org/10.5066/P93VL7HL
Citation Sando, T.R., Siefken, S.A., Wurster, P.M., and Heldmyer, A.J., 2022, Probability of Streamflow Permanence (PROSPER) output rasters, 1989-2018, upper Missouri River Basin: U.S. Geological Survey data release, https://doi.org/10.5066/P93VL7HL.
Metadata Contact
Metadata Date 2022-10-05
Related Publication
Citations of these data

Loading https://doi.org/10.1016/J.HYDROA.2022.100138

Access public
License http://www.usa.gov/publicdomain/label/1.0/
Loading...
Harvest Source: ScienceBase
Harvest Date: 2024-07-28T04:01:49.433Z