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Streamflow Permanence Probability (SPP) rasters (PROSPER)

Probabilities of annual streamflow permanence throughout the Pacific Northwest

Dates

Publication Date
Start Date
2004-01-01
End Date
2016-12-31
Revision
2019-02-12

Citation

Sando, R., and Hockman-Wert, D.P., 2019, Streamflow Permanence Probability (SPP) rasters (PROSPER) (ver. 2.0, February 2019): U.S. Geological Survey data release, https://doi.org/10.5066/F7QN661W.

Summary

Streamflow Permanence Probability (SPP) rasters represent the raw streamflow permanence probabilities produced by the PRObability of Streamflow PERmanence (PROSPER) model, annually for years 2004 through 2016, and overall mean and standard deviation. The PROSPER model is a GIS raster-based empirical model of 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 predictions of annual streamflow permanence probabilities 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. Predictions correspond [...]

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Attached Files

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SPP_2004.tif 184.2 MB image/geotiff
SPP_2005.tif 184.87 MB image/geotiff
SPP_2006.tif 184.06 MB image/geotiff
SPP_2007.tif 183.2 MB image/geotiff
SPP_2008.tif 184.14 MB image/geotiff
SPP_2009.tif 184.77 MB image/geotiff
SPP_2010.tif 185.45 MB image/geotiff
SPP_2011.tif 185.78 MB image/geotiff
SPP_2012.tif 184.02 MB image/geotiff
SPP_2013.tif 183.12 MB image/geotiff
SPP_2014.tif 183.73 MB image/geotiff
SPP_2015.tif 183.58 MB image/geotiff
SPP_2016.tif 182.91 MB image/geotiff
SPP_MEAN.tif 251.12 MB image/geotiff
SPP_STD.tif 269.2 MB image/geotiff
RevisionHistory2.0_SPP_PROSPER.txt 913 Bytes text/plain

Purpose

The Streamflow Permanence Probability (SPP) rasters represent the raw output from the PROSPER model. The values range from zero to one and are directly correlated to the probability that there will be year-round streamflow at a given location; for example, the greater the SPP value, the greater the likelihood of there being year-round streamflow at a given location. While the raw SPP rasters are the basic output of the PROSPER model and the foundation of the prediction of streamflow permanence conditions in the Pacific Northwest, the spatial complexity and variability of the model output means that the raw values need further interpretation in order to be classified as "wet" or "dry." See the related ScienceBase pages, "Streamflow Permanence Class rasters" and "Threshold and confidence interval rasters" for more information on how the raw SPP values can be translated into bias-corrected wet or dry predictions.

Map

Spatial Services

ScienceBase WMS

Communities

  • National and Regional Climate Adaptation Science Centers
  • Northwest CASC

Tags

Provenance

Data source
Input directly

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F7QN661W

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