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 ( 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 Filters
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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.
Streamflow permanence probability rasters, 2004-2011. Version 2.0. Predicted probability of streamflow permanence, values between dry (0) and wet (1).
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.
Abstract (from ScienceDirect): 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. Predictions correspond to any pixel on the channel network consistent with the medium resolution National Hydrography...
Categories: Publication;
Types: Citation;
Tags: Data Visualization & Tools,
Data Visualization & Tools,
Drought,
Drought, Fire and Extreme Weather,
Drought, Fire and Extreme Weather,
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.
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: Publication;
Types: Citation;
Tags: Data Visualization & Tools,
Data Visualization & Tools,
Drought,
Drought, Fire and Extreme Weather,
Drought, Fire and Extreme Weather,
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,...
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.
National Hydrography Dataset (NHD) stream permanence classifications (SPC; perennial, intermittent, and ephemeral) are widely used for data visualization and applied science, and have implications for resource policy and management. NHD SPC were assigned using a combination of topographic field surveys and interviews with local residents. However, previous studies indicate that non‐NHD, in situ streamflow observations (NNO) frequently disagree with NHD SPC. We hypothesized that differences in annual climate conditions between map creation years and the years NNO were collected contributed to disagreement between NNO and NHD SPC. We compared NHD SPC to 10,055 NNO (classified as “wet” or “dry”) collected in the Pacific...
Categories: Publication;
Types: Citation
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.
Understanding streamflow in montane watersheds on regional scales is often incomplete due to a lack of data for small-order streams that link precipitation and snowmelt processes to main stem discharge. This data deficiency is attributed to the prohibitive cost of conventional streamflow measurement methods and the remote location of many small streams. Expedient and low-cost streamflow measurement methods used by resource professionals or citizen scientists can provide scientifically useful solutions to this data deficiency. To this end, four current velocity measurement methods were evaluated in a laboratory flume: the surface float, rising body, velocity head rod, and rising air bubble methods. The methods were...
Categories: Publication;
Types: Citation
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.
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