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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...
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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 streamflow metrics at 6,347 U.S. Geological Survey streamgages located in the conterminous...
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Mainstem rivers are the backbone of a connected network of hydrologic units that cover the landscape. A mainstem connects a headwater source area to an outlet. This data release identifies the same mainstem paths in hydrographic datasets for the world based on the MERIT hydrography and the Natural Earth river names. Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. See "Blodgett et al., 2021, Mainstems: A logical data model implementing mainstem and drainage basin feature types based on WaterML2 Part 3: HY Features concepts https://doi.org/10.1016/j.envsoft.2020.104927" for mainstems data model details.
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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.
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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...
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This data release contains annual peak-flow data and PeakFQ output files for 186 selected streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in the New England region (Maine, Connecticut, Massachusetts, Rhode Island, New York, New Hampshire, and Vermont). The annual peak-flow data were obtained from the USGS National Water Information System (NWIS) database (https://nwis.waterdata.usgs.gov/usa/nwis/peak) and contain annual peak flows ending in water year 2011. The annual peak flows were used in version 7.0 of USGS software PeakFQ (https://water.usgs.gov/software/PeakFQ/; Veilleux and others, 2014; Flynn and others, 2006) to conduct flood-frequency analyses using the Expected Moments...
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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...
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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...
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Note: this data release has been superseded by version 2.0, available here: https://doi.org/10.5066/P92U7ZUT. Mainstem rivers are the backbone of a connected network of hydrologic units that cover the landscape. A mainstem connects a headwater source area to an outlet. This data release identifies the same mainstem paths in hydrographic datasets for the conterminous US. The Mainstems dataset includes cross walks between mainstem identifiers and several hydrographic datasets. These cross walk tables do not include geometry. It also includes a summary of all mainstems with headwater and outlet identifiers from other datasets for those mainstems that could be matched. The summary table has highly simplified geometry...
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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.
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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...
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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...
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Optimal hydrograph separation (OHS) is a two-component, hydrograph separation method that uses a two-parameter, recursive digital filter (RDF) constrained via chemical mass balance to estimate the base flow contribution to a stream or river (Rimmer and Hartman, 2014; Raffensperger et al., 2017). A recursive digital filter distinguishes between high-frequency and low-frequency discharge data within a hydrograph, where high-frequency data corresponds to quick flow or storms and low-frequency data corresponds to base flow. The two parameters within the RDF are alpha and beta, both are unitless. Alpha is defined as the recession constant and typically found through recession analysis. For the purposes of this data release...
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This data release includes field measurements and remotely sensed data from two reaches of the Buffalo National River in northern Arkansas acquired in August and September of 2021 to support research on remote sensing of benthic algae from aerial photographs and satellite images. This landing page has links to child items where each type of data can be accessed: Field measurements of water depth and percent cover of benthic algae acquired August 24-25, 2021. This ground-based data set was used to calibrate spectrally based models for inferring water depths from passive optical image data, assess the accuracy of image-derived depth estimates, and train classifications of benthic algal coverage. Digital aerial photographs...
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The National Hydrography Dataset Plus, Version 2 (NHDPlusV2) is an attribute rich, digital hydrologic network for the Conterminous U.S. developed by the U.S. Environmental Protection Agency (EPA) and U.S. Geological Survey (USGS). SPAtially Referenced Regressions On Watershed attributes (SPARROW), is a process-based/statistical model that relies on a digital hydrologic network, like NHDPlusV2, in order to establish spatial relations between monitored contaminant loads, contaminant sources, and other watershed characteristics. The USGS National Water Quality Assessment (NAWQA) project adopted the medium-resolution NHDPlusV2 network as the primary framework supporting SPARROW modeling, and has become a unifying system...
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To suport an investigation of the feasibility of measuring river discharge using remotely sensed data acquired from an unmanned aircraft system (UAS), several types of remotely sensed data and field measurements were collected from two cross-sections on the Blue River in Colorado, just upstream of its confluence with the upper Colorado River, on October 18, 2018. 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) Thermal image time series used to...
This data release provides modeled estimates of gross primary productivity, ecosystem respiration, and gas exchange coefficients for 356 streams and rivers across the United States. The release also includes the model input data and alternative input data, model fit and diagnostic information, spatial data for the modeled sites (catchment boundaries and site point locations), and potential predictors of metabolism such as discharge and light availability. The data are organized into these items: Site data - Site identifiers, details, and quality indicators - Table with 1 row per site (tab-delimited file) Spatial data a. Site coordinates - One shapefile of points for all sites combined (.shp, .shx, .dbf, and .prj...
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This data release contains annual peak-flow data through the 2013 water year, specification and output files from flood-frequency analysis of the annual peak-flow data in USGS PeakFQ software, a GIS shapefile of the basin polygons with attributes of site information, basin characteristics, results of flood-frequency analysis, and results of B-WLS/B-GLS analysis of skewness of the annual peak flows from 183 streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in parts of hydrologic unit 02 in eastern New York and Pennsylvania and the surrounding states of Connecticut, Maryland, Massachusetts, New Jersey, Vermont, Virginia, West Virginia. Also included is a comma-separated values...
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This data release includes field spectra, UAS-based RGB videos, and digital orthophotography acquired from a manned fixed-wing aircraft, as well as in situ measurements of turbidity and Rhodamine WT dye concentration acquired during a tracer experiment performed on the Missouri River near Columbia, Missouri, on May 5, 2021. One of the primary goals of this tracer experiment was to assess the feasibility of inferring concentrations of a visible dye (Rhodamine WT) from various types of remotely sensed data in a large, highly turbid natural river channel. Previous research on remote sensing of tracer dye concentrations has focused on clear-flowing streams, but the Missouri River is much more turbid. As a result,...
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Field measurements of water depth were acquired from a reach of the Colorado River near Lees Ferry, Arizona, March16-18, 2021, to support research on remote sensing of water depth from satellite images. The depth measurements included in this data release were obtained along a series of cross-sections using a SonTek RiverSurveyor M9 acoustic Doppler current profiler (ADCP) deployed from a boat. The spatial location of each measurement was obtained using a differential GPS included as part of the RiverSurveyor M9 ADCP instrument package. The map projection and datum for these data are UTM Zone 12S and WGS84, respectively. The USGS Qrev software program was used to ingest and process the raw ADCP data. The Qrev data...


map background search result map search result map Base flow estimation via optimal hydrograph separation at CONUS watersheds and comparison to the National Hydrologic Model - Precipitation-Runoff Modeling System by HRU calibrated version UAS-based remotely sensed data and field measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Annual peak-flow data and PeakFQ output files for selected streamflow gaging stations operated by the U.S. Geological Survey in the New England region that were used to estimate regional skewness of annual peak flows E2NHDPlusV2_us: Database of Ancillary Hydrologic Attributes and Modified Routing for NHDPlus Version 2.1 Flowlines 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) Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019 Regional flood skew for parts of the mid-Atlantic region (hydrologic unit 02) in eastern New York and Pennsylvania 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 Mainstem Rivers of the Conterminous United States 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 Field measurements of water depth from the Colorado River near Lees Ferry, AZ, March 16-18, 2021 Remotely sensed data and field measurements for mapping visible dye concentrations during a tracer experiment on the Missouri River near Columbia, MO, May 5, 2021 Streamflow benchmark locations for hydrologic model evaluation within the conterminous United States (cobalt gages) Remotely sensed data and field measurements of water depth and percent cover of benthic algae from two reaches of the Buffalo National River in Arkansas acquired in August and September 2021 Calculated streamflow metrics for machine learning regionalization across the conterminous United States, 1950 to 2018 Model-Estimated, Spatially Distributed Monthly Water Balance of the Upper Colorado River Basin, Water Years 1913-2017 Long-term monotonic trends in annual and monthly streamflow metrics at streamgages in the United States UAS-based remotely sensed data and field measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Field measurements of water depth from the Colorado River near Lees Ferry, AZ, March 16-18, 2021 Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019 Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018 Remotely sensed data and field measurements of water depth and percent cover of benthic algae from two reaches of the Buffalo National River in Arkansas acquired in August and September 2021 Remotely sensed data and field measurements for mapping visible dye concentrations during a tracer experiment on the Missouri River near Columbia, MO, May 5, 2021 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 Regional flood skew for parts of the mid-Atlantic region (hydrologic unit 02) in eastern New York and Pennsylvania Annual peak-flow data and PeakFQ output files for selected streamflow gaging stations operated by the U.S. Geological Survey in the New England region that were used to estimate regional skewness of annual peak flows 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 Streamflow benchmark locations for hydrologic model evaluation within the conterminous United States (cobalt gages) Base flow estimation via optimal hydrograph separation at CONUS watersheds and comparison to the National Hydrologic Model - Precipitation-Runoff Modeling System by HRU calibrated version Calculated streamflow metrics for machine learning regionalization across the conterminous United States, 1950 to 2018 E2NHDPlusV2_us: Database of Ancillary Hydrologic Attributes and Modified Routing for NHDPlus Version 2.1 Flowlines Mainstem Rivers of the Conterminous United States Long-term monotonic trends in annual and monthly streamflow metrics at streamgages in the United States