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This U.S. Geological Survey data release consists of a geospatial dataset containing information on estimated streamflow extent, stream velocity, and stream depth at Soldier Meadows Black Rock Desert - High Rock Canyon Emigrant Trails National Conservation Area, Nevada, and the data acquired and processed to support the estimation of those attributes. Supporting datasets include topographic survey data collected using a global navigation satellite system (GNSS) in Soldier Meadows from August 13-15, 2019, and an archive of the two-dimensional hydraulic model used to generate a polygon dataset for streamflow extent as well as raster datasets for stream velocity, and stream depth. The data release includes: 1) a polygon...
This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for Santa Clara River Valley South Bay (SCVSB). Gridded climate inputs include: precipitation (ppt), minimum temperature (tmn), maximum temperature (tmx), and potential evapotranspiration (pet). Gridded hydrologic variables include: actual evapotranspiration (aet), climatic water deficit (cwd), snowpack (pck), recharge (rch), runoff (run), and soil storage (str). The units for temperature variables are degrees Celsius, and all other variables are in millimeters. Monthly historical variables from water years 1896 to 2019 are summarized into water year files and long-term average summaries...
This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for Klamath (KL). Gridded climate inputs include: precipitation (ppt), minimum temperature (tmn), maximum temperature (tmx), and potential evapotranspiration (pet). Gridded hydrologic variables include: actual evapotranspiration (aet), climatic water deficit (cwd), snowpack (pck), recharge (rch), runoff (run), and soil storage (str). The units for temperature variables are degrees Celsius, and all other variables are in millimeters. Monthly historical variables from water years 1896 to 2019 are summarized into water year files and long-term average summaries for water years 1981-2010. Four...
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,
This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for San Diego (SD). Gridded climate inputs include: precipitation (ppt), minimum temperature (tmn), maximum temperature (tmx), and potential evapotranspiration (pet). Gridded hydrologic variables include: actual evapotranspiration (aet), climatic water deficit (cwd), snowpack (pck), recharge (rch), runoff (run), and soil storage (str). The units for temperature variables are degrees Celsius, and all other variables are in millimeters. Monthly historical variables from water years 1896 to 2019 are summarized into water year files and long-term average summaries for water years 1981-2010....
As part of the Coastal Carolinas Focus Area Study of the U.S. Geological Survey National Water Census Program, the Soil and Water Assessment Tool (SWAT) was used to develop models for the Pee Dee River Basin, North Carolina and South Carolina, to simulate future streamflow and irrigation demand based on land use, climate, and water demand projections. SWAT is a basin-scale, process-based watershed model with the capability of simulating water-management scenarios. Model basins were divided into approximately two-square mile subbasins and subsequently divided into smaller, discrete hydrologic response units based on land use, slope, and soil type. The calibration period for the historic model was 2000 to 2014. The...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alexander,
Alleghany,
Anson,
Ashe,
Bladen,
This dataset includes spatial locations where surface water presence observations were collected during the late summer baseflow period in Mt. Rainier National Park and surrounding area in Washington State, July 2018 - September 2020. Stream flow status (continuous flow, discontinuous flow, and dry) were recorded using the FLOwPER (FLOw PERmanence) field survey available in the Survey 123 and S1 mobile application for observations collected in 2019 and 2020. Observations collected in 2018 used an earlier version of the FLOwPER survey. Additional information to describe the field conditions are included as part of the survey. The observations were processed to correspond to pixels on the medium resolution National...
Two methods of calculating hydrologic alteration were applied to modeled daily streamflow data for 9,201 12-digit hydrologic unit code (HUC12) pour points draining to the Gulf of Mexico (Robinson and others, 2020). The first method is a new modified method of calculating ecosurplus and ecodeficit called hydro change. For this project, ecosurplus and ecodeficit have been combined to assess overall hydrologic regime change. The second method is the confidence interval hypothesis test (Kroll and others, 2015). The first method is a means of quantifying hydrologic alteration while the second is a hypothesis test to simply determine if statistically significant alteration has occurred. Both methods are employed to determine...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Florida,
Gulf Coast,
Louisiana,
Mississippi,
The Mississippi Alluvial Plain (MAP) is one of the most important agricultural regions in the United States and underlies about 32,000 square miles of Missouri, Kentucky, Tennessee, Mississippi, Louisiana, and Arkansas. The MAP region supports a multibillion-dollar agricultural industry. The MAP is part of the Mississippi Embayment with several water-bearing units that make up the Mississippi Embayment Regional Aquifer System (MERAS). These water bearing units include the Mississippi River Valley Alluvial aquifer, Claiborne aquifers and Wilcox aquifers. Two areas in northeastern Arkansas, the Cache and Grand Prairie areas have been designated as critical groundwater areas because of decades of groundwater declines...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arkansas,
Hydrology,
MODFLOW,
MODFLOW-6,
PEST++,
This U.S. Geological Survey (USGS) data release contains batch formatted annual peak streamflow data (PkFlows_AllSites.txt) through the 2020 water year for six selected USGS streamgages (01321000, 01342797, 01343060, 01346000, 01347000, and 01348000) that recorded the flood of October 31 – November 3, 2019, which severely affected the Mohawk Valley and southern Adirondack region in central New York State. This data release also contains batch formatted specification (PkFlows_AllSites.psf) and output (PEAKFLOWS_ALLSITES.PRT) files from log-Pearson type III (LPIII) flood-frequency analysis of the annual peak streamflow data in version 7.4 of the USGS PeakFQ software (Flynn and others, 2006), which implements the Bulletin...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: East Canada Creek,
Flood Science,
Groundwater and Streamflow Information,
Hydrology,
Low Flow or Peak Flow,
This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for 17 California Coastal Basins (Eel River, Fort Bragg, Fort Ross, Klamath, Los Angeles, Mad River, Mattole, Napa Sonoma, Russian River, Salinas, San Diego, San Francisco Coastal South, Santa Clara River Valley, Santa Clara River Valley South Bay, Smith, South Bay, and South Delta) and the surrounding contributing watershed area containing 181 groundwater basins. Downscaled gridded climate inputs (Daly et al., 2008) include: precipitation (ppt), minimum temperature (tmn), maximum temperature (tmx), and potential evapotranspiration (pet). Gridded hydrologic variables include: actual evapotranspiration...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: California,
Climatology,
Environmental Health,
Geography,
Hydrology,
The polygon datasets were created to assist in visualizing the results of salinity modeling in Gulf of Mexico estuaries and bays. Statistical algorithms (Asquith and others, 2023) were developed to predict daily salinities for 91 salinity monitoring sites (Rodgers and Swarzenski, 2019) operated by 7 agencies in near coastal United States waters of the Gulf of Mexico. These monitoring sites are assigned to 15 salinity groups roughly corresponding to distinct bays and estuaries. The statistical algorithms facilitate the study of trends and drivers of salinity in near coastal waters. The groups polygon dataset consists of 15 polygons representing the outer boundary or hull of each of the 15 salinity groups. The sites...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Florida,
Georgia,
Gulf of Mexico,
Hydrology,
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 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected USGS streamgages. This data release presents peak-flow frequency analyses for selected streamgages in the Upper Yellowstone River Basin, based on data through water year 2022, using methods described by Sando and McCarthy (2018).
In 2013, the U.S. Geological Survey (USGS) in partnership with the U.S. Federal Highway Administration (FHWA) published a new national stormwater quality model called the Stochastic Empirical Loading Dilution Model (SELDM; Granato, 2013). The model is optimized for roadway projects but in theory can be applied to a broad range of development types. SELDM is a statistically-based empirical model pre-populated with much of the data required to successfully run the application (Granato, 2013). The model uses Monte Carlo methods (as opposed to deterministic methods) to generate a wide range of precipitation events and stormwater discharges coupled with water-quality constituent concentrations and loads from the upstream...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Best Management Practice (BMP),
Blue Ridge,
Coastal Plain,
Event Mean Concentration,
Federal Highway Administration,
In support of a preliminary analysis performed by New York State Department of Environmental Conservation (NYSDEC) that found elevated nutrient levels along selected reaches of the Mohawk River, one-dimensional, unsteady, hydraulic and water-quality models using HEC-RAS and HEC-RAS Nutrient Simulation Module I (version 5.0.3) were developed by the U.S. Geological Survey (USGS) for the 127-mile reach of the Mohawk River between Rome and Cohoes, New York. The models were designed to accurately simulate within-channel flow conditions for this highly regulated, control structure dense river reach. The models were calibrated for the study period of May through September 2016 using best available streamflow, temperature,...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Amsterdam,
Aquatic Biology,
Cohoes,
Environmental Health,
HEC-RAS,
This data release contains the results of an isotopic mass balance approach to provide an estimate of the long-term average isotope ratios of NWM streamflow for the summer season (JJA) between 2000 and 2019 in the Western United States. The NWM-estimated long-term average isotope ratios are compared directly to 6426 stream stable isotope observations in 995 unique catchments. Quantified similarities and differences, in the form of p-values, provide useful information about important hydrologic processes. Significant p-values mean that the observed isotope ratio differs from the long-term average mass balance calculated isotope ratios and indicates that flows may be influenced by processes that are not accounted...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arizona,
California,
Colorado,
Hydrology,
Idaho,
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...
This data release contains model code and input data for, and predictions from, both a dynamic stream dissolved solids and a static baseflow dissolved solids SPARROW (SPAtially Referenced Regression On Watershed attributes) model of the Upper Colorado River Basin for water years 1986-2017. Input data includes information on dissolved solids sources, landscape transport characteristics, and dissolved solids load calibration data from water quality monitoring stations. Model output includes predictions for every reach of total and incremental predicted loads and total and incremental loads from each source. Further details on model development and results are described in Miller and others, 2023.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arizona,
Colorado,
New Mexico,
SPARROW,
USGS Science Data Catalog (SDC),
Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management. Annual peak flows measured at U.S. Geological Survey streamgages are used to compute flood-frequency estimates at those streamgages. However, flood-frequency estimates also are needed at ungaged stream locations. A process known as regionalization was used to develop regression equations to estimate the magnitude and frequency of floods at ungaged locations. This dataset contains the supporting tables and updated hydrologic region boundaries used in the 2017 flood-frequency study for Georgia, South Carolina, and North Carolina.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alabama,
Florida,
Georgia,
Hydrology,
North Carolina,
As part of the Coastal Carolinas Focus Area Study of the U.S. Geological Survey National Water Census Program, the Soil and Water Assessment Tool (SWAT) was used to develop models for the Cape Fear River Basin, North Carolina, to simulate future streamflow and irrigation demand based on land use, climate, and water demand projections. SWAT is a basin-scale, process-based watershed model with the capability of simulating water-management scenarios. Model basins were divided into approximately two-square mile subbasins and subsequently divided into smaller, discrete hydrologic response units based on land use, slope, and soil type. The calibration period for the historic model was 2000 to 2014. The best available...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alamance,
Bladen,
Brunswick,
Cape Fear,
Caswell,
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