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"NewEngland_pkflows.PRT" is a text file that contains results of flood-frequency analysis of annual peak flows from 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). Only streamgages in the region that were also in the USGS "GAGES II" database (https://water.usgs.gov/GIS/metadata/usgswrd/XML/gagesII_Sept2011.xml) were considered for use in the study. The file was generated by combining PeakFQ output (.PRT) files created using version 7.0 of USGS software PeakFQ (https://water.usgs.gov/software/PeakFQ/; Veilleux and others, 2014) to conduct flood-frequency...
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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...
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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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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 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...
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"NewEngland_pkflows.txt" contains annual peak-flow data 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). Only streamgages in the region that were also in the USGS "GAGES II" database (https://water.usgs.gov/GIS/metadata/usgswrd/XML/gagesII_Sept2011.xml) were considered for use in the study. 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...
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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 Geospatial Fabric version 1.1 (GFv1.1 or v1_1) is a dataset of spatial modeling units covering the conterminous United States (CONUS) and most major river basins that flow in from Canada. The GFv1.1 is an update to the original Geospatial Fabric (GFv1, Viger and Bock, 2014) for the National Hydrologic Modeling (NHM). Analogous to the GFv1, the GFv1.1 described here includes the following vector feature classes: points of interest (POIs_v1_1), a stream network (nsegment_v1_1), and hydrologic response units (nhru_v1_1), with several additional ancillary tables. These data are contained within the Environmental Systems Research Institute (ESRI) geodatabase format (GFv1.1.gdb).
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The Transboundary Geospatial Fabric (TGF) is a dataset of spatial modeling units consistent with the Geospatial Fabric for National Hydrologic Modeling (abbreviated within this document as GFv1, Viger and Bock, 2014). These features were derived from National Hydrography Dataset Plus High Resolution data (NHDPlus HR, U.S. Geological Survey [USGS], 2018) in the following conterminous United States (CONUS) - Canada transboundary four-digit Hydrologic Units (HUC4): 0101, 0105, 0108, 0901, 0902, 0903, 0904, 1005, 1006, 1701, 1702, and 1711. The data described here include the following vector feature classes: points of interest (POIs), a stream network (nsegment), major waterbodies (waterbodies), and hydrologic response...
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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...
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This metadata record describes the observed and estimated hydrologic metrics for the 1980 to 2019 period for U.S. Geological Survey streamgage locations across the Conterminous United States. The datasets are arranged in four files: (1) CONUS_Observed_Estimated_HMs_Annual_Monthly.csv, (2) CONUS_Bootstrap_Validations_for_Models.csv, (3) CONUS_Streamflow_Gages_for_Models.csv, and (4) Data_Dictionary_Flow_Metrics.csv. The CONUS_Observed_Estimated_HMs_Annual_Monthly.csv file contains the following six attributes: (1) the U.S. Geological Survey streamgage identification number, (2) calendar year, (3) observed hydrologic metric, (4) estimated hydrologic metric, (5) hydrologic metric abbreviation, and (6) aggregated level...
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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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There is a growing interest in incorporating higher-resolution groundwater modeling within the framework of large-scale land surface models (LSMs), including new processes such as three- dimensional flow, variable soil saturation, and surface water/groundwater interactions. Conversely, complex groundwater models (e.g., the U.S. Geological Survey Groundwater-Flow Model, MODFLOW) often use simpler representations of land surface dynamics (e.g., surface vegetation, evapotranspiration, recharge) and may benefit from higher process fidelity and temporal resolutions in these inputs. This study investigates the potential of improving groundwater representation in LSMs and land surface dynamics in MODFLOW through coupling...
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Field measurements of riverbed grain size were collected from the Merced and Tuolumne Rivers in California to support research on anadromous salmonids. The grain size estimates included in this dataset were obtained from plan-view digital images of grains on exposed gravel and cobble bars (n = 109 for the Merced, n = 26 for the Tuolumne). The images were used to estimate grain-size distributions using the algorithm of Buscombe (2013). In this dataset we report the median grain size (D50), the 16th percentile (D16) and 84th percentile (D84). The spatial location of each measurement was obtained via a Trimble R10 RTK GPS receiver. The map projection and datum for these data from the Merced River are UTM Zone 11 N...
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This data release includes videos acquired from a helicopter and field measurements of flow depth and velocity from the Tanana River near Nenana, Alaska, obtained on July 24, 2019. This parent data release includes links to child pages for two data sets produced during the study: 1. Acoustic Doppler Current Profiler (ADCP) field measurements of flow depth and velocity from the Tanana River, Alaska, collected on July 24, 2019. 2. Videos of the Tanana River, Alaska, acquired from a helicopter on July 24, 2019. Please refer to the individual child pages for further detail about each data set. Overall, these data were used to assess the potential to estimate surface flow velocities and water depths in sediment-laden...
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This data release consists of an orthophoto of the Tanana River in Alaska acquired on July 24, 2019. The orthophoto was 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 Tanana 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 adjustment...


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 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 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 Peak-flow files for 186 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 Bathymetric Survey of the Ichilo and Sajta Rivers, near Puerto Villarroel, Bolivia, May 23-24, 2019 GIS Features of the Transboundary Geospatial Fabric (TGF) GIS Features of the Geospatial Fabric for the National Hydrologic Model, 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) Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019 Sediment grain size measurements from the upper Merced and Tuolumne Rivers in California Geo-referenced orthophotos of the Tanana River, Alaska, acquired July 24, 2019 Satellite video and individual image frames from the Tanana River, Alaska, July 14, 2020, for Particle Image Velocimetry Regional flood skew for parts of the mid-Atlantic region (hydrologic unit 02) in eastern New York and Pennsylvania Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018 Helicopter-based videos and field measurements of flow depth and velocity from the Tanana River, Alaska, acquired on July 24, 2019 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 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 Hydrologic metric changes across the conterminous United States MODFLOW models for the simulation of groundwater-flow dynamics in the U.S. Northern High Plains driven by multi-model estimates of surficial aquifer recharge. 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 orthophotos of the Tanana River, Alaska, acquired July 24, 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 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 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) Sediment grain size measurements from the upper Merced and Tuolumne Rivers in California Regional flood skew for parts of the mid-Atlantic region (hydrologic unit 02) in eastern New York and Pennsylvania MODFLOW models for the simulation of groundwater-flow dynamics in the U.S. Northern High Plains driven by multi-model estimates of surficial aquifer recharge. 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 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 Peak-flow files for 186 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 GIS Features of the Transboundary Geospatial Fabric (TGF) 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 Hydrologic metric changes across the conterminous United States GIS Features of the Geospatial Fabric for the National Hydrologic Model, version 1.1