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In August 2015, water velocities around a fully-loaded commercial barge tow were measured as the barge tow traveled upstream through the Chicago Sanitary and Ship Canal from a starting position in Lockport Pool, and passed through the Electric Dispersal Barrier System at river mile (RM) 296 near Romeoville, IL. Velocity measurements were made in and alongside the gap formed by the junction between the boxed stern of a rake hopper barge and the raked bow of a rake tanker barge (herein referred to as the rake-to-box junction gap) using two SonTek Argonaut SW 3kHz acoustic Doppler velocity meters (ADVM). One ADVM was mounted 0.091 meters below the water surface, facing downward in the center of the rake-to-box junction...
Categories: Data;
Types: Citation;
Tags: Chicago Sanitary and Ship Canal,
Illinois,
Lockport Locks,
Romeoville,
USGS Science Data Catalog (SDC),
This data release contains a comma-delimited ascii file of 16 discrete discharge measurements made at sites along selected reaches of He'eia Stream and 'Ioleka'a Stream, O'ahu, Hawai'i, on August 9, 2022. These discrete discharge measurements form what is commonly referred to as a "seepage run." The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions that are generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during...
IMPORTANT NOTE: More recent versions of these data release are available at this link. This dataset includes spatial locations where streamflow permanence observations (continuous flow, discontinuous flow, and dry) were recorded using the FLOwPER (FLOw PERmanence) field survey available in the Survey 123 and S1 mobile application. Additional information to describe the field conditions are included as part of the survey. Field observations in the FLOwPER Database have not been processed for quality control including spatial data accuracy or association with a stream network such as the National Hydrography Dataset. Streamflow permanence observations are collected from several governmental and non-governmental organizations...
The continental United States (CONUS) was modeled to produce simulations of historical and potential future streamflow using the Precipitation-Runoff Modeling System (PRMS) application of the USGS National Hydrologic Model Infrastructure (NHMI; Regan and others, 2018). This child page specifically contains outputs of streamflow for each stream segment in the model domain and is based on parameterization with dynamic land cover. The parameters that were allowed to vary were related to dominant land cover type, percent impervious area, and precipitation interception by the plant canopy and snowpack.The PRMS parameters describing vegetation and impervious area were derived from annual estimates of land cover to incorporate...
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...
A monthly water balance model (MWBM) was driven with precipitation and temperature using a station-based dataset for current conditions (1949 to 2010) and selected statistically-downscaled general circulation models (GCMs) for current and future conditions (1950 to 2099) across the conterminous United States (CONUS) using hydrologic response units from the Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014). Six MWBM output variables (actual evapotranspiration (AET), potential evapotranspiration (PET), runoff (RO), streamflow (STRM), soil moisture storage (SOIL), and snow water equivalent (SWE)) and the two MWBM input variables (atmospheric temperature (TAVE) and precipitation (PPT)) were summarized...
Categories: Data,
Data Release - Revised;
Types: Map Service,
NetCDF OPeNDAP Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: USGS Science Data Catalog (SDC),
United States,
Water Resources,
hydrology,
inlandWaters,
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 arc and point data set contains streamflow-measurement sites and reaches indicating streamflow gain or loss under base-flow conditions along the Republican River and tributaries in Nebraska during October 10 to 18, 1978 (U.S. Geological Survey, 1980). The streamflow measurements were made to obtain data on ground-water/surface-water interaction. Flow was observed visually to be zero, was measured, or was estimated at 254 sites....
A table is presented listing: (1) USGS Gage Station Numbers, (2) Model Identification Tags, (3) Model Term Estimates, (4) Model Term Fit Statistics, and (5) Model Performance Indices for Maximum Likelihood Logistic Regression (MLLR) Models estimating hydrological drought probabilities in the United States. Models were developed using streamflow daily values (DV) readily available from the U.S. Geological Survey National Water Information System (NWIS) and mean monthly streamflows readily computed from NWIS streamflow DV. Models were prepared for 9,144 sites throughout the United States as described in: Modeling Summer Month Hydrological Drought Probabilities In The United States Using Antecedent Flow Conditions...
Categories: Data;
Types: Citation;
Tags: Puerto Rico,
USGS Science Data Catalog (SDC),
United States of America,
decision support systems,
drought,
The basis for these features is U.S. Geological Survey Scientific Investigations Report 2017-5024 Flood Inundation Mapping Data for Johnson Creek near Sycamore, Oregon. The domain of the HEC-RAS hydraulic model is a 12.9-mile reach of Johnson Creek from just upstream of SE 174th Avenue in Portland, Oregon, to its confluence with the Willamette River. Some of the hydraulics used in the model were taken from Federal Emergency Management Agency, 2010, Flood Insurance Study, City of Portland, Oregon, Multnomah, Clackamas, and Washington Counties, Volume 1 of 3, November 26, 2010. The Digital Elevation Model (DEM) utilized for the project was developed from lidar data flown in 2015 and provided by the Oregon Department...
The USGS Wyoming-Montana Water Science Center (WY–MT WSC) recently completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. In association with the report, this data release presents peak-flow frequency analyses for 14 selected streamgages in the Beaverhead River and Clark Fork Basins that were based on methods described by Sando and McCarthy (2018). The results are presented in three child items: a child...
Categories: Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Montana,
USGS Science Data Catalog (SDC),
Water Resources,
annual exceedance probability,
hydrology,
Digital flood-inundation maps for an 8.8-mile reach of the North Platte River, from 1.5 miles upstream of the Highway 92 bridge to 3 miles downstream of the Highway 71 bridge, were created by the U.S. Geological Survey (USGS) in cooperation with the Cities of Scottsbluff and Gering. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Platte River at Scottsbluff, Nebr. (station 06680500). Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National...
This dataset contains projected climate data (precipitation, maximum temperature, minimum temperature) from 27 climate scenarios used as input to the Precipitation-Runoff Modeling System (PRMS), and baseline PRMS simulated streamflow at 63 sites in the Upper Rio Grande Basin under each of the 27 scenarios. Projected climate data, obtained from the USGS South Central Climate Adaptation Science Center (Wooten, 2020), were generated using three general circulation models, run under three emission scenarios (RCP 2.6, RCP 4.5, RCP 8.5), and downscaled using three different methods (delta SD, equidistant quantile mapping, piecewise asynchronous regression). Together, the three models, RCPs, and downscaling methods resulted...
This dataset consists of daily streamflow percentiles for 1981-10-01 to 2020-03-31 relevant to streamflow drought defined using two approaches: Percentiles accounting for flow seasonality (variable threshold percentiles) and those based on the full record of data for each site regardless of season (fixed threshold percentiles). Because of the size of this dataset (99,530,836 rows), it could not be provided as a .csv file, and is instead provided as a .parquet file. Instructions on reading this file using the R programming language are provided in the Processing Step section of this metadata. The daily streamflow percentiles were estimated for ungaged areas of the Colorado River Basin (CRB) using neural network models,...
Discrete volumetric and mid-section stream discharge measurements were conducted from July through October 2020 in H.J. Andrews Experimental Forest near Blue River, OR. The measured streams are part of the Lookout Creek basin, draining into Blue River and subsequently the McKenzie River on the west slope of the Cascade Range. ORWSC Streamflow measurements supplemented an eco-drought low-flow modeling project in partnership with the Forest and Rangeland Ecosystem Science Center (FRESC) and the USGS Water Mission Area (WMA). Measurements were collected at 25 selected sites with co-located HOBO data loggers and 7 miscellaneous (MISC) sites with no data loggers present. HOBO logger data were collected and processed...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Blue River,
H.J. Andrews Experimental Forest,
Lookout Creek,
Oregon,
USGS Science Data Catalog (SDC),
Flood profiles for the stream reaches were computed by combining a one-dimensional step-backwater model for the stream channels and a two-dimensional model for the overbank areas. The resulting hydraulic model was calibrated by using water-surface profiles from five observed storm events. The model was then used to compute 15 water-surface profiles for 5 flood frequencies (50- , 10- , 2- , 1- , and 0.2-percent annual exceedance probabilities, or 2- , 10- , 50- , 100- , and 500-year recurrence intervals) and 3 lake levels (representing average conditions, a 2-year-high condition, and a 100-year-high condition). The geographic information system flood-extent polygons, depth grids, and water surface elevation grids...
This item contains data and code used in experiments that produced the results for Sadler et. al (2022) (see below for full reference). We ran five experiments for the analysis, Experiment A, Experiment B, Experiment C, Experiment D, and Experiment AuxIn. Experiment A tested multi-task learning for predicting streamflow with 25 years of training data and using a different model for each of 101 sites. Experiment B tested multi-task learning for predicting streamflow with 25 years of training data and using a single model for all 101 sites. Experiment C tested multi-task learning for predicting streamflow with just 2 years of training data. Experiment D tested multi-task learning for predicting water temperature with...
Categories: Data,
Data Release - Revised;
Tags: US,
USGS Science Data Catalog (SDC),
United States,
deep learning,
environment,
This file (wymt_ffa_2021A_WATSTORE.txt) contains peak flow data for peak-flow frequency analyses for selected streamgages based on data through water year 2021. The file is in a text format called WATSTORE (National Water Data Storage and Retrieval System) available from NWISWeb (http://nwis.waterdata.usgs.gov/usa/nwis/peak).
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bighorn,
Bighorn County,
Dawson County,
Land,
Little Bighorn,
This data release contains a comma-delimited ascii file of three same-day, discrete discharge measurements made at sites along selected reaches of Honomū Stream, Hawai'i on August 11, 2020. These discrete discharge measurements form what is commonly referred to as a “seepage run.” The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during stable, nonchanging flow...
This data release contains a comma-delimited ascii file of four same-day, discrete discharge measurements made at sites along selected reaches of Pāpio Gulch, Moloka'i, Hawai'i on January 28, 2021. These discrete discharge measurements form what is commonly referred to as a “seepage run.” The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during stable, nonchanging...
This file (wymt_ffa_2022A.psf) contains specifications to run PeakFQ version 7.4 for peak-flow frequency analyses for selected streamgages based on data through water year 2022.
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Charlie-Little Muddy,
Custer County,
Dawson County,
Land,
Little Powder,
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