Basin Characteristic Flow-Conditioned Parameter Grids for Wyoming StreamStats
Dates
Publication Date
2023-06-21
Citation
Hallberg, L.L., Hamilton, W.B., Dutton, D.M., and Brugger, C.L., 2023, Basin Characteristic Datasets for Wyoming StreamStats: U.S. Geological Survey data release, https://doi.org/10.5066/P93JP0VQ.
Summary
To aid in parameterization of mechanistic, statistical, and machine learning models of hydrologic systems in the Wyoming StreamStat study area, flow-conditioned parameter grids (FCPGs) have been generated describing upstream basin elevation, slope, level III ecoregion codes, land cover classification, waterbodies, first of the month snow water equivalent (Jan-Jun), soil type, average soil permeability, evaptranspiration Spring and Summer, and modeled 30-year normal climatologies of average annual total precipitation, average monthly total precipitation, average annual daily mean temperature, and average monthly daily mean temperature values within the Wyoming StreamStats study area.
Summary
To aid in parameterization of mechanistic, statistical, and machine learning models of hydrologic systems in the Wyoming StreamStat study area, flow-conditioned parameter grids (FCPGs) have been generated describing upstream basin elevation, slope, level III ecoregion codes, land cover classification, waterbodies, first of the month snow water equivalent (Jan-Jun), soil type, average soil permeability, evaptranspiration Spring and Summer, and modeled 30-year normal climatologies of average annual total precipitation, average monthly total precipitation, average annual daily mean temperature, and average monthly daily mean temperature values within the Wyoming StreamStats study area.
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Basin Characteristic Flow-Conditioned Parameter Grids for Wyoming StreamStats.xml Original FGDC Metadata
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Purpose
This FCPG dataset provides seamless basin characteristics for the Wyoming StreamStats study area to allow the parameterization and application of mechanistic, statistical, and machine learning models at a 10-meter scale.
