Skip to main content
Advanced Search

Filters: partyWithName: Integrated Modeling & Prediction Division (X) > partyWithName: U.S. Geological Survey (X)

Folder: ROOT ( Show direct descendants )

73 results (12ms)   

Location

Folder
ROOT
Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
A bathymetric survey was conducted upstream and downstream of the confluence of the Ichilo and Sajta Rivers near Puerto Villarroel, Bolivia. The surveyed reach extends approximately 12 kilometers upstream of the confluence along the Ichilo River, approximately 2 kilometers upstream of the confluence along the Sajta River, and 1.5 kilometers downstream of the confluence. The bathymetric data include survey point data provided as a text file of horizontal coordinates in Universal Transverse Mercator Zone 20 South, in meters. The river bed elevation is expressed as height above the WGS-84 ellipsoid, in meters. USGS personnel collected bathymetric data from May 23, 2019, through May 24, 2019 using an interferometric...
thumbnail
This data release consists of orthophotographs of the Snow River in Alaska acquired on September 1, 2018. The orthophotographs were produced from images obtained using a Hasselblad A6D-100C 100 megapixel digital mapping camera deployed within a pod mounted on the landing gear of a Robinson R44 helicopter. Images were acquired as the helicopter transited a series of flight lines designed to provide complete coverage, with ample overlap, of the study area along the Snow River. Also within the pod was an ATLANS GPS/Inertial Motion Unit (IMU) that recorded the position and orientation of the platform during the flight. This information was used to geo-reference the images by performing aerial triangulation and bundle...
thumbnail
This dataset is a geographic information systems shapefile containing basin polygons, site information, basin characteristics, results of flood-frequency analysis, and results of Bayesian weighted least-squares / Bayesian generalized least-squares (B-WLS/B-GLS) analysis for 183 streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in parts of hydrologic unit 02 (mid-Atlantic region) in eastern New York and Pennsylvania and the surrounding states of Connecticut, Maryland, Massachusetts, New Jersey, Vermont, Virginia, West Virginia that were used to estimate regional skewness of annual peak flows. Bayesian weighted least-squares / Bayesian generalized Least-Squares (B-WLS/B-GLS) regression...
thumbnail
This data release contains the standard statistical suite (version 1.0) daily streamflow performance benchmark results for the National Water Model Retrospective (v2.1) at streamflow benchmark locations defined by Foks and others (2022). Modeled hourly timesteps were converted to mean daily timesteps. Model error was determined by evaluating predicted daily mean streamflow versus observed daily mean streamflow using various statistics; the Nash-Sutcliffe efficiency (NSE), the Kling-Gupta efficiency (KGE), the logNSE, the Pearson correlation coefficient, the Spearman correlation coefficient, the ratio of the standard deviation, the percent bias, the percent bias in flow duration curve midsegment slope, the percent...
thumbnail
This data release includes field measurements of flow depth and optical image sequences acquired from the Salcha River in Alaska on July 25, 2019. These data were used to develop and test a spectrally based remote sensing technique for estimating water depth from passive optical image data. The purpose of this study was to assess the feasibility of inferring water depths from optical image sequences acquired from a helicopter hovering above the river by averaging the images over time and then establishing a correlation between a spectral band ratio and field measurements of depth, and to develop a modular workflow for performing this type of analysis. Remote sensing of river bathymetry (depth) could provide a...
thumbnail
Dataset was generated by performing water-balance computations for the Upper Colorado River Basin for the months October 1913 through September 2017. The basin area was first divided into 17,626 4-kim grid cells, and these were then grouped by sub-basin and annual precipitation into 960 subareas; the dataset includes a lookup table for this grouping. For each of the 960 subareas, the dataset gives the model's estimates of rainfall, snowfall, albedo, net radiation, snowmelt, potential evapotranspiration, actual evapotranspiration, total runoff, snow-water equivalent, soil-water storage, groundwater storage, and air temperature.
thumbnail
This U.S. Geological Survey (USGS) metadata release consists of 17 different spatial layers in GeoTIFF format. They are: 1) average water capacity (AWC.zip), 2) percent sand (Sand.zip), 3) percent silt (Silt.zip), 4) percent clay (Clay.zip), 5) soil texture (TEXT_PRMS.zip), 6) land use/land cover (LULC.zip), 7) snow values (Snow.zip), 8) summer rain values (SRain.zip), 9) winter rain values (WRain.zip), 10) leaf presence values (keep.zip), 11) leaf loss values (loss.zip), 12) percent tree canopy (CNPY.zip), 13) percent impervious surface (Imperv.zip), 14) snow depletion curve numbers (Snow.zip), 15) rooting depth (RootDepth.zip), 16) permeability values (Lithology_exp_Konly_Project.zip), and 17) water bodies. All...
thumbnail
This metadata record documents a set of 118 comma delimited files and a data dictionary describing the inputs for the U.S. Geological Survey Precipitation Runoff Modeling System (PRMS) which is used to drive the National Hydrologic Model (NHM) for the United States-Canada transboundary domain. The National Hydrologic Model database contains parameters for hydrologic response units (HRUs) and stream segments needed to run the NHM. These parameters are generated using python scripts to process input datasets such as digital elevation models, soil maps, and land cover classifications. Many of the parameters were left at their default model value as they would need to be calibrated as part of the PRMS model development...
thumbnail
This data release provides coupling of Conterminous United States and several Canadian operational reservoirs used in recent hydrologic modeling studies to authoritative national hydrographic datasets used to identify, calibrate, model, and assess streamflow, water quantity, quality, and ecological resources. The National Inventory of Dams (NID) provides linkages to dams operated in the United States, GRanD provides linkages to Global Dams and Reservoirs, and the National Hydrography Dataset Plus (NHDPlus) provides linkages to the stream network and waterbodies to easily couple with National Hydrologic Models and landscape parameters. The Geospatial Fabric for National Hydrologic Modeling, version 1.1 (GFv1.1) provides...
thumbnail
This data release includes field measurements of flow velocity and optical image sequences used to derive remotely sensed estimates of surface flow velocities via particle image velocimetry (PIV) from two rivers in Alaska. These data were acquired from the Salcha River on August 31, 2018, and the Tanana River on July 24, 2019. The purpose of this study was to assess the feasibility of inferring flow velocities from optical image sequences acquired from a helicopter hovering above each river by tracking water surface features via various PIV algorithms and to develop a modular workflow for performing this type of analysis. Remote sensing of flow velocity could provide a more efficient, cost-effective alternative...
thumbnail
This is accompanying data produced for the study "Implications of Model Selection: Inter-Comparison of Publicly-Available, CONUS-Extent Hydrologic Component Estimates". These datasets were converted from their primary structures (rasters and shapefiles) to EPA Ecoregions Level I. Conversion was performed by averaging timestep layers via mean area weight to produce a single vector of monthly values for each ecoregion, for each of the following hydrologic cycle components: precipitation (P), actual evapotranspiration (AET), runoff (R), snow water equivalent (SWE), rootzone soil moisture in equivalent water depth (RZSME), and rootzone soil moisture in volumetric water content (RZSMV).
thumbnail
This data release consists of a video and individual image frames extracted from the original high frame rate video and used to derive remotely sensed estimates of surface flow velocity via particle image velocimetry (PIV). These data were acquired from the Tanana River near Nenana, Alaska, on July 14, 2020. The video was obtained from a satellite operated by Planet Labs as part of the SkySat constellation. The original video was recorded at 30 frames per second and is provided in a compressed, lower-resolution .mp4 format video file for viewing. In addition, Planet Labs provided the individual frames comprising the video as full resolution TIFF images. This data release consists of individual frames extracted...
thumbnail
This metadata record describes 99 streamflow (referred to as flow) metrics calculated using the observed flow records at 1851 streamflow gauges across the conterminous United States from 1950 to 2018. Calculation of these metrics are often used as dependent variables in statistical models to make predictions of these flow metrics at ungaged locations. Specifically, this record describes (1) the U.S. Geological Survey streamgauge identification number, (2) the 1-, 7-, and 30-day consecutive minimum flow normalized by drainage area, DA (Q1/DA, Q7/DA, and Q30/DA [cfs/sq km]), (3) the 1st, 10th, 25th, 50th, 75th, 90th, and 99th nonexceedence flows normalized by DA (P01/DA, P10/DA, P25/DA, P50/DA, P75/DA, P90/DA, P99/DA...
thumbnail
A list of stream gages within the conterminous United States that will serve as the initial list of sites (version 1.0) used for streamflow benchmarking of hydrologic models. Sites within this list were chosen based on their presence in the GAGES-II dataset, their availability of modeled streamflow data from the most recent version of the National Hydrologic Model application of Precipitation-Runoff Modeling System v1.0, and their availability of modeled streamflow data from the most recent version of the NOAA National Water Model application of WRF-hydro version 2.1 retrospective dataset.
thumbnail
This metadata record describes mean seasonal time-step estimates of daily streamflow and daily baseflow, and total and baseflow estimates of loads of total nitrogen, total phosphorus, and total suspended solids at surface-water stations in the southeastern United States for the period 2001-14. Streamflow and load estimates described in this data release were obtained using the Fluxmaster approach described in Saad and others (2019). Saad, D.A., Schwarz, G.E., Argue, D.M., Anning, D.W., Ator, S.W., Hoos, A.B., Preston, S.D., Robertson, D.M., and Wise, D.R., 2019, Estimates of long-term mean daily streamflow and annual nutrient and suspended-sediment loads considered for use in regional SPARROW models of the conterminous...
thumbnail
Note: this data release has been superseded by version 2.0, available here: https://doi.org/doi:10.5066/P976XCVT. The comid field of these data can be used to join to the NHDPlus version 2 flowline comid or catchment featureid attributes. The included attributes follow the same data model as the NHDPlusV2 but include numerous updates and improvements to network connectivity. All attributes that depend on network connectivity have been recalculated. These attributes are based on the National Hydrography Dataset Plus V2.1 (NHDPlusV2) network geometry and modifications retrieved from the National Water Model V2.1 (NWMv2.1) and "E2NHDPlusV2_us: Database of Ancillary Hydrologic Attributes and Modified Routing for NHDPlus...
thumbnail
To support an investigation of the feasibility of measuring river bathymetry using remotely sensed data acquired from a small unmanned aircraft system (sUAS), remotely sensed bathymetry and field measurements were collected from two cross-sections on the Colorado River near Parshall, CO on June 13, 2019. This parent data release includes links to child pages for the following data sets: 1) Lidar data used for mapping channel bathymetry (depth), acquired with a novel instrument that was developed by ASTRALiTe to distinguish between returns from the water surface and riverbed based on the polarization of laser pulses. 2) Field-based wading surveys of bed topography used to evaluate the bathymetric mapping capabilities...
thumbnail
This metadata record describes monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015. A statistical machine learning technique - random forest modeling (Liaw and Wiener, 2018; R Core Team, 2020) - was applied to estimate natural flows using about 150 potential predictor variables (Miller and others, 2018). Calibration data used for the random forest model are available from (Foks and others, 2020). Each model was run twice, first using all potential predictor variables, which represents a "full" model run, and a second time using the top 20 predictors from the original run, which...
thumbnail
This U.S. Geological Survey (USGS) data release consists of two hydrographic datasets with spatial modeling units, two sets of spatial data consistent with the National Hydrologic Model (NHM) Geospatial Fabric for National Hydrologic Modeling (abbreviated within this document as GFv1, Viger and Bock, 2014), and a database of 118 parameters used to run the NHM . These datasets are found as subpages to this landing page as 1) the GIS (geographic information system) features of the United States-Canada Transboundary Geospatial Fabric (TGF, added 08/04/2020), 2) the GIS features of the Geospatial Fabric v1.1 (GFv1.1 or v1_1, added 08/04/2020) which is an update to the GF and includes the TGF, 3) Topographic derivative...
thumbnail
Note: this data release is currently being revised and is temporarily unavailable The U.S. Geological Survey (USGS) Water Resources Mission Area (WMA) is working to address a need to understand where the Nation is experiencing water shortages or surpluses relative to the demand for water need by delivering routine assessments of water supply and demand and an understanding of the natural and human factors affecting the balance between supply and demand. A key part of these national assessments is identifying long-term trends in water availability, including groundwater and surface water quantity, quality, and use. This data release contains Mann-Kendall monotonic trend analyses for 18 observed annual and monthly...


map background search result map search result map Bathymetric Survey of the Ichilo and Sajta Rivers, near Puerto Villarroel, Bolivia, May 23-24, 2019 Collection of Hydrologic Models, Reanalysis Datasets, and Remote Sensing Products Aggregated by Ecoregion over the CONUS from 1900 to 2018 UAS-based remotely sensed bathymetry and field measurements from the Colorado River, near Parshall Colorado, June 13, 2019 Geospatial Fabric for National Hydrologic Modeling, version 1.1 Field measurements of flow velocity and optical image sequences acquired from the Salcha and Tanana Rivers in Alaska in 2018 and 2019 and used for particle image velocimetry (PIV) Basin polygons and characteristics, site information, results of flood-frequency analysis, and results of Bayesian weighted least-squares / Bayesian generalized least-squares (B-WLS/B-GLS) analysis for 183 streamgages operated by the U.S. Geological Survey in parts of hydrologic unit 02 in eastern New York and Pennsylvania and the surrounding states of Connecticut, Maryland, Massachusetts, New Jersey, Vermont, Virginia, and West Virginia Data Layers for the National Hydrologic Model, version 1.1 National Hydrologic Model's United States-Canada Transboundary Geospatial Fabric Parameter Database Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019 Satellite video and individual image frames from the Tanana River, Alaska, July 14, 2020, for Particle Image Velocimetry Monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015 Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018 Updated CONUS river network attributes based on the E2NHDPlusV2 and NWMv2.1 networks Mean seasonal time-step estimates of daily streamflow and daily baseflow, and loads of total nitrogen, total phosphorus, and total suspended solids at surface-water stations in the southeastern United States, 2001-14 Streamflow benchmark locations for hydrologic model evaluation within the conterminous United States (cobalt gages) Calculated streamflow metrics for machine learning regionalization across the conterminous United States, 1950 to 2018 Daily streamflow performance benchmark defined by the standard statistical suite (v1.0) for the National Water Model Retrospective (v2.1) at benchmark streamflow locations for the conterminous United States (ver 3.0, March 2023) Model-Estimated, Spatially Distributed Monthly Water Balance of the Upper Colorado River Basin, Water Years 1913-2017 Crosswalk table between selected Conterminous United States (CONUS) Global Reservoir and Dam Database (GRanD) site and High-Value National Hydrographic Datasets Long-term monotonic trends in annual and monthly streamflow metrics at streamgages in the United States (Under Revision) UAS-based remotely sensed bathymetry and field measurements from the Colorado River, near Parshall Colorado, June 13, 2019 Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019 Satellite video and individual image frames from the Tanana River, Alaska, July 14, 2020, for Particle Image Velocimetry Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018 Bathymetric Survey of the Ichilo and Sajta Rivers, near Puerto Villarroel, Bolivia, May 23-24, 2019 Monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015 Basin polygons and characteristics, site information, results of flood-frequency analysis, and results of Bayesian weighted least-squares / Bayesian generalized least-squares (B-WLS/B-GLS) analysis for 183 streamgages operated by the U.S. Geological Survey in parts of hydrologic unit 02 in eastern New York and Pennsylvania and the surrounding states of Connecticut, Maryland, Massachusetts, New Jersey, Vermont, Virginia, and West Virginia Model-Estimated, Spatially Distributed Monthly Water Balance of the Upper Colorado River Basin, Water Years 1913-2017 Mean seasonal time-step estimates of daily streamflow and daily baseflow, and loads of total nitrogen, total phosphorus, and total suspended solids at surface-water stations in the southeastern United States, 2001-14 National Hydrologic Model's United States-Canada Transboundary Geospatial Fabric Parameter Database Streamflow benchmark locations for hydrologic model evaluation within the conterminous United States (cobalt gages) Calculated streamflow metrics for machine learning regionalization across the conterminous United States, 1950 to 2018 Updated CONUS river network attributes based on the E2NHDPlusV2 and NWMv2.1 networks Daily streamflow performance benchmark defined by the standard statistical suite (v1.0) for the National Water Model Retrospective (v2.1) at benchmark streamflow locations for the conterminous United States (ver 3.0, March 2023) Collection of Hydrologic Models, Reanalysis Datasets, and Remote Sensing Products Aggregated by Ecoregion over the CONUS from 1900 to 2018 Crosswalk table between selected Conterminous United States (CONUS) Global Reservoir and Dam Database (GRanD) site and High-Value National Hydrographic Datasets Geospatial Fabric for National Hydrologic Modeling, version 1.1 Data Layers for the National Hydrologic Model, version 1.1 Long-term monotonic trends in annual and monthly streamflow metrics at streamgages in the United States (Under Revision)