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This data release supports the study by Sexstone and others (2019) and contains simulation output from a hydrological modeling experiment using a specific calibration of the conterminous United States (CONUS) application of the Precipitation-Runoff Modeling System (PRMS) (Hay, 2019) as implemented in the National Hydrologic Model (NHM) infrastructure (Regan and others, 2018). The by hydrologic response unit (byHRU) calibrated, baseline version of the NHM-PRMS (Hay, 2019) was used to evaluate the sensitivity of simulated runoff to the representation of snow depletion curves (SDCs) within the NHM-PRMS across the CONUS. The model experiment consisted of seven NHM-PRMS model simulations using the calibrated NHM-PRMS...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: USGS Science Data Catalog (SDC),
United States,
hydrologic processes,
hydrology,
snow,
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This coverage contains estimates of agricultural cropping-practices in counties in the conterminous United States as reported in the 1987 Census of Agriculture (U.S. Department of Commerce, 1989a). Agricultural cropping-practice data are reported as either acres, or as a percentage of county area. Agricultural cropping-practice estimates were generated from surveys of all farms where $1,000 or more of agricultural products were sold,...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This coverage contains estimates of land in agricultural production in counties in the conterminous United States as reported in the 1987 Census of Agriculture (U.S. Department of Commerce, 1989a). Land in agriculture data are reported as either a number (for example, number of Farms), acres, or as a percentage of county area. Land in agriculture estimates were generated from surveys of all farms where $1,000 or more of agricultural...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. The U.S. Geological Survey performed a bathymetric survey of Groundhog Reservoir using a man-operated boat-mounted multibeam echo sounder integrated with a global positioning system (GPS) and a terrestrial real-time kinematic (RTK) GPS in June 2011. The multi-beam echo sounder collected data at lake depths of approximately 3 feet and greater, whereas the terrestrial topographic survey was performed with the RTK GPS in shallow areas...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This digital geospatial data set consists of structure contours of the base of the Laramie-Fox Hills aquifer and the base of the Arapahoe aquifer along the Front Range of Colorado. The U.S. Geological Survey developed this data set as part of a project described in the report, "Structure, Outcrop, and Subcrop of the Bedrock Aquifers Along the Western Margin of the Denver Basin, Colorado" (Robson and others, 1998).
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. hsg_UCRB_Maurer_resolution.asc is an Esri ASCII grid representing the hydrologic soil group (HSG) for the Upper Colorado River Basin. The HSG for an area is determined by the least water-transmitting layer in the soil column. The Natural Resources Conservation Service (NRCS) classifies four HSGs from Group A (high infiltration capacity and low overland flow potential) to Group D (low infiltration capacity and high overland flow potential)....
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset is one of eight datasets produced by this study. Four of the datasets predict the probability of detecting atrazine and(or) desethyl-atrazine (a breakdown product of atrazine) in ground water in Colorado; the other four predict the probability of detecting elevated concentrations of nitrate in ground water in Colorado. The four datasets that predict the probability of atrazine and(or) desethyl-atrazine (atrazine/DEA)...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset is one of eight datasets produced by this study. Four of the datasets predict the probability of detecting atrazine and(or) desethyl-atrazine (a breakdown product of atrazine) in ground water in Colorado; the other four predict the probability of detecting elevated concentrations of nitrate in ground water in Colorado. The four datasets that predict the probability of atrazine and(or) desethyl-atrazine (atrazine/DEA)...
The U.S. Geological Survey (USGS), in cooperation with the Air Force Civil Engineering Center, created a numerical groundwater-flow model for the Fountain Creek alluvial aquifer using the finite-difference MODFLOW code with the Newton formulation solver. This numerical groundwater-flow model simulates water-budget components, groundwater-flow directions, and groundwater-flow paths of the Fountain Creek alluvial aquifer. The numerical model was spatially discretized into a single layer with 291 rows and 254 columns of 200 by 200 feet size, and a total of 17,610 active cell. The numerical model was temporally discretized into 1 initial steady-state stress period representing the average conditions of the 240 monthly...
This dataset includes benthic algae community composition data in the Colorado River near Cameo, Colorado, U.S. Geological Survey (USGS) site number 09095500, from 2022 to 2023, and from three sites in the upper White River Basin, Colorado, in 2022. Taxonomic classification of algae species is not known well in theses rivers, and this study was conducted to record different algae species present in each river system. Benthic algae were typically identified as genus or species, and biomass and biovolume were provided for taxa. The U.S. Geological Survey completed data collection in upper White River Basin in cooperation with the White River Conservation District, and the Colorado River data collection was funded...
Invertebrate, fish, and habitat data were collected as part of a cooperative project that began in 2002 between the U.S. Geological Survey, Colorado Springs Utilities, and Colorado Springs Engineering. Other entities have contributed to the project over the years including Colorado Parks and Wildlife. Fish samples were collected and analyzed at 12 sites in the Fountain Creek Basin, El Paso and Pueblo Counties, Colorado. The number of sites sampled each year as well as the number of annual visits during which data were collected, and sampling methods used during each visit vary. The fish data were collected between 2003 and 2023 and is intended to be updated annually as new data are collected and available. Users...
This dataset consists of altitude values representing the top surface (in feet) of well-consolidated bedrock at the base of the shallow groundwater system in the Lower Gunnison River Basin in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. Bedrock-altitude values were computed as the difference between land-surface altitude and the thickness of regolith sediments represented by dataset rglth. The U.S. Geological Survey prepared this dataset in cooperation with the Colorado Water Conservation Board.
Changes in water corrosivity from 84 river sites were investigated using long-term data sets. Corrosive waters, often having elevated chloride (Cl) concentrations, can lead to metal leaching and promote corrosion in water distribution systems. Two different indices, the Chloride-Sulfate Mass Ratio (CSMR) and the Larson Ratio (LR), are commonly used to indicate the potential to promote corrosion in water distribution systems, with high values indicating an increase in the potential to promote corrosion. Though changes in treatment approaches at drinking water facilities are known to affect the corrosion indices, there is little information regarding how changes in the ionic composition of source waters may affect...
Data release containing geospatial data and metadata for select hydrogeologic characteristics of the alluvium in the Lower Arkansas River Valley, Southeast Colorado, 2002, 2008, and 2015. This data release accompanies U.S. Geological Survey Scientific Investigations Map 3378 (https://doi.org/10.3133/sim3378). Geospatial datasets and metadata include: - Rasters showing estimated thickness of the alluvium; fall-to-fall and spring-to-spring water-table altitude change, 2002 to 2008, 2008 to 2015, and 2002 - 2015; and estimated saturated thickness in the alluvium, fall and spring 2002, 2008, and 2015. - Shapefiles showing bedrock contours underlying the alluvium; the outline of the study area and John Martin Reservoir...
In 2012, the U.S. Geological Survey (USGS) in cooperation with Colorado Springs Utilities selected 10 reaches or study area along Fountain Creek between Colorado Springs and the confluence of Fountain Creek at the Arkansas River for annual bed and bank characterization and topographic surveys. The selected 10 study areas are approximately 5 to 20 bank-full channel widths in length. The topographic surveys collected point data of location and elevation in the active channel and along both left and right banks and flood plains. Starting in 2012, USGS personnel have collected topographic survey data annually during the winter, spring, or summer using real-time kinematic Global Navigation Satellite Systems. These point...
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Colorado,
Colorado Springs,
El Paso County,
Fountain,
Fountain Creek,
Digital elevation model (DEM) and associated metadata for basin B2.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Rio Blanco,
UAS,
Unmanned Aerial Systems,
biota,
Orthoimagery and associated metadata for basin A1.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Rio Blanco,
UAS,
Unmanned Aerial Systems,
biota,
Orthoimagery and associated metadata for basin B2.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Rio Blanco,
UAS,
Unmanned Aerial Systems,
biota,
In 2012, the U.S. Geological Survey (USGS) in cooperation with Colorado Springs Utilities selected 10 study areas along Fountain Creek between Colorado Springs, Colorado and the confluence of Fountain Creek with the Arkansas River for annual geomorphic monitoring. The purpose of this data release is to present topographic survey data, rasters , and sediment size data collected in 2019 as part of that monitoring effort. Topographic survey points were collected using real-time kinematic Global Navigation Satellite Systems (RTK-GNSS). These point data were interpolated to generate digital elevation maps (2015 and 2019) and elevation-change maps (from 2015 to 2019) at each study area . In 2019, two types of Unmanned...
Streamflow and basin-characteristic data are needed for a variety of scientific applications including estimation of flow in ungaged basins and hydro-ecological classification of rivers. The U.S. Geological Survey (USGS), in cooperation with the Bureau of Reclamation and the Southern Rockies Landscape Conservation Cooperative (SRLCC), selected a subset of streamgages across the SRLCC domain that could be used for future modeling efforts. A number of basin characteristics were calculated for the drainage basin delineated at each streamgage. Spatial features (gages, drainage basins) and their related attributes are contained within a geodatabase (SRLCC_Hydro.gdb). The extent of the historical peak flow information...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Southern Rockies,
USGS Science Data Catalog (SDC),
Water Resources,
environment,
stream,
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