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Probability of Streamflow Permanence (PROSPER) Model Output Layers, (ver. 2.0, February 2019)

Metadata Updated: June 15, 2024

The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow permanence probabilities (probabilistic predictions) of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides annual predictions for 2004-2016 at a 30-m spatial resolution based on monthly or annually updated values of climatic conditions and static physiographic variables associated with the upstream basin (Raw streamflow permanence probability rasters). Predictions correspond to pixels on the channel network consistent with the medium resolution National Hydrography Dataset channel network stream grid. Probabilities were converted to wet and dry streamflow permanence classes (Categorical wet/dry rasters) with an associated confidence (Threshold and confidence interval rasters).

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Created Date June 1, 2023
Metadata Updated Date June 15, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date June 15, 2024
Publisher Climate Adaptation Science Centers
Identifier 98d60edf-5855-4db5-a1a1-9065074a559d
Data Last Modified 2020-08-19
Category geospatial
Public Access Level public
Bureau Code 010:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id 14f20a78-cf0f-461d-bceb-db33c8fd5c0d
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -127.0716,39.7527,-109.4515,50.7168
Source Datajson Identifier True
Source Hash f2db58cd7cc1a53b624f8ea29bab50bc4b2e52753633a02c3d029067ebd64374
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -127.0716, 39.7527, -127.0716, 50.7168, -109.4515, 50.7168, -109.4515, 39.7527, -127.0716, 39.7527}

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