Skip to main content
Advanced Search

Filters: Tags: streamflow (X) > Categories: Data Release - Revised (X)

23 results (57ms)   

View Results as: JSON ATOM CSV
thumbnail
The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Pacific Region of the Unites States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
thumbnail
The U.S. Geological Survey (USGS) developed a regression model for estimating mean August baseflow per square mile of drainage area in cooperation with National Oceanic and Atmospheric Administration (NOAA) to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat (Lombard and others, 2021). The model was applied to each reach of a stream network derived from select National Hydrography Dataset Plus High-Resolution (NHDPlusHR) data in the State of Maine south of 46º 21′55″ N latitude. The spatial coverage developed from the stream network contains model-estimated mean August baseflow per square mile of drainage area as an attribute of each NHDPlusHR reach. Please...
The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Southwestern Region of the Unites States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
thumbnail
This data release provides source code and an R workspace with functions comprising a non-linear baseflow separation model, calibrated values of parameters and estimates of the baseflow component of daily streamflow at selected streamflow gages. Parameter values were determined by calibration of the model. Estimates of the baseflow component include daily values and the total baseflow as a fraction of streamflow for the analysis period. The file 'run_bf_sep.zip' in the directory 'Nonlinear Baseflow Model Source Code, Functions, and Scripts" has a complete set of model functions, parameters for 13,208 USGS streamflow gages, and a script to run the model. Instructions and software requirements for running the model...
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
The data includes dates, places, and times of sampling events for eggs of invasive Grass Carp (Ctenopharyngodon idella) in tributaries to the Great Lakes in 2021 and 2022. Reference data on locations and dates sampled, gears used, and effort are included. Developmental stages for a subset of undamaged, fertilized eggs are provided. Tables include common fields to allow for integration into a relational database to aid data extraction and associating data among tables. First posted: September 2023 Revised: November 2023 (version 1.1)
thumbnail
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...
thumbnail
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...
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...
thumbnail
This digital dataset contains the surface water operational data used for the Salinas Valley Operational Model (SVOM) including the time series data and the operational rules. While much of the input data is shared between the Salinas Valley Operational Model (SVOM) and the Salinas Valley Integrated Hydrologic Model (SVIHM), the SVOM has additional input data specific to the purpose and function of the model. This digital dataset contains the datasets related to agricultural and municipal water supply and groundwater in the Lower Salinas Valley Hydrologic Models, including the Salinas Valley Operational Model (SVOM) and the Salinas Valley Integrated Hydrologic Model (SVIHM). Groundwater inflow and outflow data include...
thumbnail
This data release contains drainage basin characteristics and low-streamflow trend results for 2,482 U.S. Geological Survey (USGS) streamgages in the conterminous U.S. Data include streamgage identification number, name, drainage area, latitude, longitude, percent developed land use, percent crop land use, dam storage, streamgage classification, record completeness status, and trend slopes and significance for several low-streamflow and related metrics. Also included is an R script containing the Mann-Kendall trend test for three different null hypotheses of the serial structure of the time-series data: independence, short-term persistence, and long-term persistence.
thumbnail
Streamflow data and statistics are vitally important for proper protection and management of both the water quality and water quantity of Alabama streams. Such data and statistics are available at U.S. Geological Survey streamflow-gaging stations, also referred to as streamgages or stations, but are often needed at ungaged stream locations. To address this need, the U.S. Geological Survey, in cooperation with numerous Alabama State agencies and organizations, developed regional regression equations for estimating selected low-flow frequency statistics and mean annual flow for ungaged locations in Alabama that are not substantially affected by tides, regulation, diversions, or other anthropogenic influences. This...
thumbnail
The USGS Wyoming-Montana Water Science Center (WY–MT WSC) 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. This data release presents peak-flow frequency analyses for 11 selected streamgages in Jefferson County, Montana, that were based on methods described by Sando and McCarthy (2018). Sando, S.K., and McCarthy, P.M., 2018, Methods for peak-flow frequency analysis and reporting for streamgages...
thumbnail
A series of 15 digital flood-inundation shapefiles and grids were developed for a 10.2 mile reach of the Pawtuxet River in West Warwick, Warwick, and Cranston, Rhode Island by the U.S. Geological Survey in cooperation with Rhode Island Emergency Management Agency and U.S. Army Corps of Engineers. The coverage of the maps extends from downstream of Natick Pond Dam near State Route 33/Providence Street bridge in West Warwick, to the river’s mouth at Pawtuxet Cove (Broad Street bridge) on the border between Cranston and Warwick, Rhode Island. A hydraulic model was used to compute water surface profiles for 15 flood stages at 1-foot (ft) intervals referenced to the streamgage and ranging from 8.0 feet (ft; 15.2 ft North...
thumbnail
This data release contains drainage basin characteristics and peak-streamflow trend and change-point results for 2,683 U.S. Geological Survey (USGS) streamgages in the conterminous U.S. Data include streamgage identification number, name, drainage area, latitude, longitude, percent urban land use, dam storage, streamgage classification, record completeness status, lag-1 autocorrelation, trend slopes and significance, peaks-over-threshold counts, trends in the numbers of peaks-over-threshold, and change point years and values for median and scale. Also included is an R script containing the Mann-Kendall trend test for three different null hypotheses of the serial structure of the time-series data: independence, short-term...
thumbnail
The U.S. Geological Survey (USGS), in cooperation with the Kootenai Tribe of Idaho, used streamflow measurements at 14 partial-record sites and related them to nearby USGS real-time streamgages (index sites) to provide daily mean streamflow values at ungaged (partial-record) sites. Daily mean streamflow was estimated by developing a regression relationship between streamflow at each partial-record site and the index site for the period of record of the index site. The daily mean streamflow at partial-record sites will support the Kootenai Tribe of Idaho effort to understand fish and wildlife habitat in the watershed and provide streamflow estimates for Kootenai River tributaries for use in hydraulic modeling that...
thumbnail
This data release contains the standard statistical suite (version 1.0) daily streamflow performance benchmark results for the National Hydrologic Model Infrastructure application of the Precipitation-Runoff Modeling System (NHM-PRMS) version 1 "byObs" calibration with Muskingum routing computed at streamflow benchmark locations defined by Foks and others (2022). 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...
thumbnail
This data release is currently being revised and is temporarily unavailable. Digital datasets were used to develop basin characteristics whose values are used in multiple regression equations and tested for the use in predicting flow-duration curves (FDCs) in ungaged areas of Illinois and Indiana. Several basin characteristics are easily derived from StreamStats (https://streamstats.usgs.gov/ss/) basin delineations themselves, such as basin area and basin centroid. Other basin characteristics require ancillary datasets as input. The data provided through this data release are those data that have been collected, tested, and ultimately selected as a basis for FDC development. These include Soil Components (Available...
thumbnail
This digital dataset contains the surface water operational data used for the Salinas Valley Operational Model (SVOM) including the time series data and the operational rules. While much of the input data is shared between the Salinas Valley Operational Model (SVOM) and the Salinas Valley Integrated Hydrologic Model (SVIHM), the SVOM has additional input data specific to the purpose and function of the model. The SVOM is a hypothetical baseline model developed to examine the benefit of different reservoir operations to the availability of water resources for the San Antonio and Nacimiento Reservoirs. The San Antonio and Nacimiento reservoirs are used for regional water supply and management of Salinas River flows...


map background search result map search result map Monthly Water Balance Model Futures Flood Inundation Grids and Shapefiles for the Pawtuxet River in West Warwick, Warwick, and Cranston, Rhode Island Peak-flow frequency analyses for 14 selected streamgages in the Beaverhead River and Clark Fork Basins Montana, based on data through water year 2016 (ver. 1.1, September 2020) Peak-streamflow trends and change-points and basin characteristics for 2,683 U.S. Geological Survey streamgages in the conterminous U.S. Low-streamflow trends and basin characteristics for 2,482 U.S. Geological Survey streamgages in the conterminous U.S. Peak-flow frequency analyses for 11 selected streamgages in Jefferson County, Montana, based on data through water year 2017 (ver. 1.1, September 2019) SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Pacific Region of the United States, 2012 Base Year (ver 1.1, June 2020) Non-linear baseflow separation model with parameters and results (ver. 2.0, October 2022) Supporting Data for Estimating Selected Low-Flow Frequency Statistics and Mean Annual Flow for Ungaged Locations on Streams in Alabama (ver. 1.1, November 2020) SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Southwestern United States, 2012 Base Year (ver. 2.0, October 2020) Multi-task Deep Learning for Water Temperature and Streamflow Prediction (ver. 1.1, June 2022) Data for the Estimation of Regional Flow-Duration Curves for Indiana and Illinois (ver. 2.0, February 2021) Streamflow regressions and daily mean streamflow estimates for Kootenai River tributaries near Bonners Ferry, Idaho (ver 2.0, January 2023) Central Valley Hydrologic Model version 2 (CVHM2): Observation Data (Groundwater Level, Streamflow, Subsidence) from 1916 to 2018 (ver. 2.1, September 2023) Spatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA (version 1.1, June 2022) 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) Daily streamflow performance benchmark defined by the standard statistical suite (v1.0) for the National Hydrologic Model application of the Precipitation-Runoff Modeling System (v1 byObs Muskingum) at benchmark streamflow locations in the conterminous United States (ver 3.0, March 2023) Salinas Valley Operational Model: Input Operational Data (ver. 2.0, September 2023) Lower Salinas Valley Hydrologic Models: Agricultural and Municipal Water Supply and Groundwater Data (ver. 2.0, November 2023) Grass Carp (Ctenopharyngodon idella) egg capture data from Great Lakes tributaries, 2021-2022 (ver. 1.1, November 2023) Flood Inundation Grids and Shapefiles for the Pawtuxet River in West Warwick, Warwick, and Cranston, Rhode Island Peak-flow frequency analyses for 11 selected streamgages in Jefferson County, Montana, based on data through water year 2017 (ver. 1.1, September 2019) Lower Salinas Valley Hydrologic Models: Agricultural and Municipal Water Supply and Groundwater Data (ver. 2.0, November 2023) Salinas Valley Operational Model: Input Operational Data (ver. 2.0, September 2023) Peak-flow frequency analyses for 14 selected streamgages in the Beaverhead River and Clark Fork Basins Montana, based on data through water year 2016 (ver. 1.1, September 2020) Grass Carp (Ctenopharyngodon idella) egg capture data from Great Lakes tributaries, 2021-2022 (ver. 1.1, November 2023) Spatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA (version 1.1, June 2022) Central Valley Hydrologic Model version 2 (CVHM2): Observation Data (Groundwater Level, Streamflow, Subsidence) from 1916 to 2018 (ver. 2.1, September 2023) Data for the Estimation of Regional Flow-Duration Curves for Indiana and Illinois (ver. 2.0, February 2021) Supporting Data for Estimating Selected Low-Flow Frequency Statistics and Mean Annual Flow for Ungaged Locations on Streams in Alabama (ver. 1.1, November 2020) SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Pacific Region of the United States, 2012 Base Year (ver 1.1, June 2020) SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Southwestern United States, 2012 Base Year (ver. 2.0, October 2020) Multi-task Deep Learning for Water Temperature and Streamflow Prediction (ver. 1.1, June 2022) Peak-streamflow trends and change-points and basin characteristics for 2,683 U.S. Geological Survey streamgages in the conterminous U.S. Low-streamflow trends and basin characteristics for 2,482 U.S. Geological Survey streamgages in the conterminous U.S. 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) Daily streamflow performance benchmark defined by the standard statistical suite (v1.0) for the National Hydrologic Model application of the Precipitation-Runoff Modeling System (v1 byObs Muskingum) at benchmark streamflow locations in the conterminous United States (ver 3.0, March 2023) Monthly Water Balance Model Futures Non-linear baseflow separation model with parameters and results (ver. 2.0, October 2022)