Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Northwest CASC > FY 2016 Projects > Identifying Resilient Headwater Streams to Mitigate Impacts of Future Drought in the Northwest > Approved DataSets > Probability of Streamflow Permanence (PROSPER) Model Output Layers ( Show direct descendants )
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ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___Northwest CASC ____FY 2016 Projects _____Identifying Resilient Headwater Streams to Mitigate Impacts of Future Drought in the Northwest ______Approved DataSets _______Probability of Streamflow Permanence (PROSPER) Model Output Layers Filters
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Streamflow permanence probability rasters, 2004-2011. Version 2.0. Predicted probability of streamflow permanence, values between dry (0) and wet (1).
Streamflow permanence class rasters, 2004-2016. Version 2.0. Predicted wet or dry by level of statistical confidence. -5 is highly likely dry; +5 is highly likely wet.
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...
Streamflow Permanence Class (SPC) rasters represent the classification of the raw streamflow permanence probabilities produced by the PRObability of Streamflow PERmanence (PROSPER) model into categorical wet and dry classes, annually for years 2004 through 2016, and overall mean. Raw probabilities were classified into a -5 (dry) to +5 (wet) scale based on the spatially variable threshold (i.e., value that predicts the wet/dry break point) and confidence interval rasters. In general, the farther a raw probability value is from the threshold value for a given pixel, the farther the categorical value is from zero for that pixel. For example, a raw probability that is less than the threshold value minus the critical...
Streamflow permanence probability rasters, 2012-2016. Version 2.0. Predicted probability of streamflow permanence, values between dry (0) and wet (1).
Streamflow permanence probability rasters, 2004-2016. Version 2.0. Predicted probability of streamflow permanence, values between dry (0) and wet (1).
The threshold raster includes the raw streamflow permanence probability value at a given pixel that represents the estimated critical value to differentiate between wet conditions (above the threshold) and dry conditions (below the threshold). Confidence interval rasters indicate the value above or below the threshold corresponding to the nth percentile of confidence that the pixel is wet (above) or dry (below). Raw streamflow permanence probabilities were produced by the PRObability of Streamflow PERmanence (PROSPER) model, 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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Data Visualization & Tools,
Data Visualization & Tools,
Drought,
Drought, Fire and Extreme Weather,
Drought, Fire and Extreme Weather,
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