Skip to main content
Advanced Search

Filters: partyWithName: U.S. Geological Survey - ScienceBase (X) > partyWithName: Roy Sando (X)

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 all descendants )

3 results (8ms)   

Location

Folder
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
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
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...
thumbnail
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...
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...
    map background search result map search result map Streamflow Permanence Class (SPC) rasters (PROSPER) Streamflow Permanence Probability (SPP) rasters (PROSPER) Streamflow Permanence Class (SPC) rasters (PROSPER) Streamflow Permanence Probability (SPP) rasters (PROSPER)