Physical CPGs -- Probability of Streamflow Permanence (PROSPER) Continuous Parameter Grids (CPGs)
Physical predictor variables used to calculate probabilities of annual streamflow permanence throughout the Pacific Northwest
Dates
Publication Date
2018-12-13
Citation
Sando, R., Olsen, T.D., Kaiser, K.E., Haluska, T.L., and Hockman-Wert, D.P., 2018, Physical CPGs -- Probability of Streamflow Permanence (PROSPER) Continuous Parameter Grids (CPGs): U.S. Geological Survey data release, https://doi.org/10.5066/F7057F5M.
Summary
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. These values and variables, known as Continuous Parameter Grids, or CPGs, were used as the predictor variables in the model. The CPGs referenced from this page are [...]
Summary
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. These values and variables, known as Continuous Parameter Grids, or CPGs, were used as the predictor variables in the model. The CPGs referenced from this page are physical, including baseflow, irrigated land, land cover (NLCD), permeability, soils, and topography.
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PROSPER_CPG_layers_Physical.xml Original FGDC Metadata
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Related External Resources
Type: Related Primary Publication
Jaeger, K.L., Sando, R., McShane, R.R., Dunham, J.B., Hockman-Wert, D.P., Kaiser, K.E., Hafen, K.C., Risley, J.C., Blasch, K.W., 2018, Probability of Streamflow Permanence Model (PROSPER)- A spatially continuous model of annual streamflow permanence throughout the Pacific Northwest: Journal of Hydrology X, p. online, https://doi.org/10.1016/j.hydroa.2018.100005.
This work provides end users with streamflow permanence conditions for the Pacific Northwest region at unprecedented spatial and temporal resolutions, representing the largest dynamic stream mapping effort the authors are aware of, and which is readily available for direct application to water resources. The availability of temporally dynamic streamflow permanence classifications at a regional scale not only allows for improved understanding of the spatiotemporal dynamics of streamflow permanence and the physiographic and hydroclimatic variables that control streamflow permanence, but also serves as an immediate tool to water resource managers who are increasingly challenged by limited knowledge of where and when streams and rivers maintain streamflow.
Communities
National and Regional Climate Adaptation Science Centers
