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These datasets are continuous parameter grids (CPG) of permeability (and impermeability) of surface geology in the Pacific Northwest. Source data come from work by Chris Konrad, U.S. Geological Survey (USGS), and geologic map databases produced by USGS scientists.
This dataset is a continuous parameter grid (CPG) of normal (average) annual precipitation data for the years 1981 through 2010 in the Pacific Northwest. Source precipitation data was produced by the PRISM Climate Group at Oregon State University.
These datasets are continuous parameter grids (CPG) of first-of-month snow water equivalent data for March through August, years 2004 through 2016, in the Pacific Northwest. Normal (average) first-of-month values for the same months, averaged across all years, are also located here. Source snow water equivalent data was produced by the Snow Data Assimilation System (SNODAS) at the National Snow and Ice Data Center.
To improve understanding of streamflow permanence in the Pacific Northwest, we have developed a method for predicting the annual probability of year-round streamflow at 30-meter intervals. The approach involves collecting and processing nearly 24,000 streamflow observations into “wet” or “dry” values, and synchronizing them with 291 predictor datasets that represent physical (one-time values) and climatic (monthly or annual values) conditions associated with the upstream area for each 30-meter point along streams in the Pacific Northwest. Both of these datasets are among the first of their kind and shed light on the scientific opportunities that ‘Big Data’ techniques allow for. The predictive models developed from...
These datasets are continuous parameter grids (CPG) of topography data in the Pacific Northwest. Datasets include stream slope, basin slope, elevation, contributing area, and topographic wetness index. Source data come from the U.S. Geological Survey National Elevation Dataset.
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...
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...
This dataset is a continuous parameter grid (CPG) of normal (average) annual maximum air temperature data for the years 1981 through 2010 in the Pacific Northwest. Source temperature data was produced by the PRISM Climate Group at Oregon State University.
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. For purposes of organization,...
Streams are classified as perennial (flowing uninterrupted, year-round) or intermittent (flowing part of the year) or ephemeral (flowing only during rainfall events). The classifications of “streamflow permanence” were primarily established in the middle 20th century and are often outdated and inaccurate today if they were not adjusted for changes in land use, wildfires, or climate.Understanding where streams are perennial is important for a variety of reasons. For example, perennial streams receive special regulatory protections under a variety of statutes, and provide important habitat for fish, wildlife, and other species. To predict the likelihood that streams are perennial, we compiled nearly 25,000 observations...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2016,
CASC,
Completed,
Data Visualization & Tools,
Data Visualization & Tools,
These datasets are continuous parameter grids (CPG) of soil data in the Pacific Northwest. Datasets include available water capacity, depth to water table, hydrologic soil group percentage, and soil component (e.g., clay, silt, sand) percentage. Source data come from the Digital General Soil Map of the United States, produced by the Natural Resources Conservation Service, United States Department of Agriculture.
These datasets are continuous parameter grids (CPG) of total annual precipitation data for the years 2000 through 2016 in the Pacific Northwest. One 30-year normal (average) annual precipitation grid from the period 1981-2010 is also included. Source precipitation data was produced by the PRISM Climate Group at Oregon State University.
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...
These datasets are continuous parameter grids (CPG) of annual mean daily minimum air temperature data for the years 2000 through 2016 in the Pacific Northwest. One 30-year normal (average) annual minimum temperature grid from the period 1981-2010 is also included. Source temperature data was produced by the PRISM Climate Group at Oregon State University.
These datasets are continuous parameter grids (CPG) of monthly mean evapotranspiration data for March through September, years 2010 through 2015, in the Pacific Northwest. Source evapotranspiration data was produced using the operational Simplified Surface Energy Balance (SSEBop) model.
These datasets are continuous parameter grids (CPG) of normal monthly mean evapotranspiration data for March through September, averaged across all years, 2000 through 2015, in the Pacific Northwest. Source evapotranspiration data was produced using the operational Simplified Surface Energy Balance (SSEBop) model.
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...
These datasets are continuous parameter grids (CPG) of land cover types (percent of basin classified by cover type) for the years 2001, 2006, and 2011 in the Pacific Northwest. Cover types include forest, agriculture, developed, wetland, and open water. Source data was the National Land Cover Dataset, produced by the Multi-Resolution Land Characteristics (MRLC) Consortium.
This dataset is a continuous parameter grid (CPG) of baseflow index values (percent of discharge as baseflow) estimated at U.S. Geological Survey (USGS) streamgages in the Pacific Northwest. Source data was produced by David Wolock of USGS.
These datasets are continuous parameter grids (CPG) of monthly mean evapotranspiration data for March through September, years 2000 through 2004, in the Pacific Northwest. Source evapotranspiration data was produced using the operational Simplified Surface Energy Balance (SSEBop) model.
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