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(Hyperlink to Official Landing Page for Geospatial Fabric products) The Geospatial Fabric provides a consistent, documented, and topologically connected set of spatial features that create an abstracted stream/basin network of features useful for hydrologic modeling.The GIS vector features contained in this Geospatial Fabric (GF) data set cover the lower 48 U.S. states, Hawaii, and Puerto Rico. Four GIS feature classes are provided for each Region: 1) the Region outline ("one"), 2) Points of Interest ("POIs"), 3) a routing network ("nsegment"), and 4) Hydrologic Response Units ("nhru"). A graphic showing the boundaries for all Regions is provided at http://dx.doi.org/doi:10.5066/F7542KMD. These Regions are identical...
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This dataset describes irrigation water use in Kansas in 2015. Volumes of water used, irrigated area, and average irrigation application depths are provided for three sets of subareas: (1) Irrigation water use analysis regions that include Groundwater Management Districts (GMDs) with the areas outside of GMDs divided into eastern, central, and western Kansas; (2) Regional Planning Areas (RPAs), which are 14 areas determined by the Kansas Water Office based on hydrologic and administrative boundaries, each with a set of goals outlined in the Kansas Water Vision (https://kwo.ks.gov/water-plan/water-vision); and (3) the 105 Kansas counties. Volumes of water used, irrigated area, and average application depths are also...
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This dataset was created using the PRISM (Parameter-elevation Regressions on Independent Slopes Model) climate mapping system, developed by Dr. Christopher Daly, PRISM Climate Group director. PRISM is a unique knowledge-based system that uses point measurements of precipitation, temperature, and other climatic factors to produce continuous, digital grid estimates of monthly, yearly, and event-based climatic parameters. Continuously updated, this unique analytical tool incorporates point data, a digital elevation model, and expert knowledge of complex climatic extremes, including rain shadows, coastal effects, and temperature inversions. PRISM data sets are recognized world-wide as the highest-quality spatial climate...
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This dataset was created using the PRISM (Parameter-elevation Regressions on Independent Slopes Model) climate mapping system, developed by Dr. Christopher Daly, PRISM Climate Group director. PRISM is a unique knowledge-based system that uses point measurements of precipitation, temperature, and other climatic factors to produce continuous, digital grid estimates of monthly, yearly, and event-based climatic parameters. Continuously updated, this unique analytical tool incorporates point data, a digital elevation model, and expert knowledge of complex climatic extremes, including rain shadows, coastal effects, and temperature inversions. PRISM data sets are recognized world-wide as the highest-quality spatial climate...
This is a catalog of datasets available for processing with the Geo Data Portal.
On October 20-21, 2015, the U.S. Geological Survey conducted a dye study on the Des Plaines River at Brandon Road Lock and Dam (BRLD) near Rockdale, Illinois. The purpose of this dye study was to assess the mixing, advection, and dispersion of dye within the BRLD lock chamber and in the approach channel downstream. These data will inform designs of potential strategies for preventing upstream transport of invasive Asian carp through the BRLD. Dye was injected into the intakes for the lock chamber at the start of the filling process. The dye was injected through grates atop the intake channels on both sides of the lock. Injection began at 10:24 on October 20, 2015, and ended at 10:30 on October 20, 2015. A total...
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(Hyperlink to Official Landing Page for Geospatial Fabric products) The first of the Geospatial Fabric datasets are being released as two discrete products, one for the GIS feature geometry and one for the set of attribute tables from which PRMS parameter files are generated. Both products are being released through a community within www.sciencebase.gov, called the National Hydrologic Modeling Framework (https://www.sciencebase.gov/catalog/folder/4f4e4773e4b07f02db47e234). There is a full FGDC-compliant metadata record associated with both of these products, including an abstract, in addition to full access to actual data. The data sets are formatted as ESRI file geodatabases, organized according to Geospatial...
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These data are high-resolution bathymetry (river bottom elevation) in XYZ format and measurements of sediment depth in CSV format, generated from the February 13–14, 2017, topographic and hydrographic survey of the Des Plaines River near Brandon Road Lock and Dam at Joliet, Illinois. Hydrographic data were collected in three separate areas (approach channel, mooring area, and upstream pool) using a multibeam echo-sounder (MBES) with integrated inertial navigation solution (INS) mounted on a marine survey vessel. Sediment depth data were collected in the approach channel using navigational software and probing equipment mounted on a marine survey vessel.


    map background search result map search result map GIS Features of the Geospatial Fabric for National Hydrologic Modeling Preliminary spatial parameters for PRMS based on the Geospatial Fabric, NLCD2001 and SSURGO 4km Monthly Parameter-elevation Regressions on Independent Slopes Model Monthly Climate Data for the Continental United States. Multibeam bathymetry and sediment depth data at select locations on the Des Plaines River near Joliet, Illinois, February 13–14, 2017 (COPY) Irrigation water use in Kansas, 2015 4km Monthly Parameter-elevation Regressions on Independent Slopes Model Monthly Climate Data for the Continental United States. Multibeam bathymetry and sediment depth data at select locations on the Des Plaines River near Joliet, Illinois, February 13–14, 2017 (COPY) Irrigation water use in Kansas, 2015 4km Monthly Parameter-elevation Regressions on Independent Slopes Model Monthly Climate Data for the Continental United States. 4km Monthly Parameter-elevation Regressions on Independent Slopes Model Monthly Climate Data for the Continental United States. GIS Features of the Geospatial Fabric for National Hydrologic Modeling Preliminary spatial parameters for PRMS based on the Geospatial Fabric, NLCD2001 and SSURGO