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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 (NHM; Regan and others, 2018). This child page specifically contains atmospheric forcings (daily minimum air temperature, daily maximum air temperature, and daily precipitation accumulation) from each of the global circulation models (GCMs) presented in table1_GCMs_used.csv, using the Representative Concentration Pathway 4.5 for simulating potential future streamflow for the period 2006 - 2100.
This dataset contains absolute-gravity data collected by the USGS Southwest Gravity Program, a collaborative effort of the Arizona, California, and New Mexico Water Science Centers to monitor and model groundwater-storage change. Data were collected following the methods in "Procedures for Field Data Collection, Processing, Quality Assurance and Quality Control, and Archiving of Relative and Absolute-Gravity Surveys", U.S. Geological Survey Techniques and Methods book 2, chapter D4 . All data are reviewed and approved. Additional gravity data, including network-adjusted relative- and absolute-gravity data, may be available in ScienceBase Data Releases.Gravity data are provided as two files:sgp_agdb_stations_YYYY-MM-DD.csv...
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 (NHM; 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 California Department of Water Resources borehole data that were regularized by the US Geological Survey. The dataset contains borehole lithologic data, and geospatial data of water wells in the Hat Creek basin California, located east of Mount Shasta in northern California. The borehole dataset is released as an excel table and a shapefile and includes (1) individual borehole location, and (2) downhole lithologic interval data derived from well drillers’ lithology logs. The geospatial data consists of a point feature class that is a 2-dimensional representation of the locations of Hat Creek basin well logs.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cassel quadrangle,
Hat Creek basin,
Lower Pit River,
Murken Bench quadrangle,
Old Station quadrangle,
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 (NHM; Regan and others, 2018). This child page specifically contains a suite of 52 streamflow metrics. These metrics were computed using daily outputs of runoff from HRUs (PRMS variable hru_outflow) and streamflow from the model stream segments (PRMS variable seg_outflow) for all historical and future simulations (table1_GCMs_used.csv) with both static and dynamic land cover parameters. These streamflow statistics describe the duration, frequency, magnitude, rate of change, and...
Categories: Data;
Tags: United States,
air temperature,
inlandWaters,
model,
precipitation (atmospheric),
Data release includes the U.S. Geological Survey (USGS) estimate of spring nitrogen fluxes summed from nine tributaries to the Chesapeake Bay from 1985 to 2023. Data are presented as the sum from tributaries within the USGS River Input Monitoring (RIM) network identified by site numbers: 01491000, 01578310, 01594440, 01646580, 01668000, 01673000, 01674500, 02035000, 02041650. Periods of estimation include January through May and November through May. The estimates are made using up-to-date streamflow and all total nitrogen analyses available as of June 1 of the reporting year.
Salinity levels in streams and tributaries of the Colorado River Basin have been a major concern for years. Recently, the United States Geological Survey’s (USGS) Next Generation Water Observing System (NGWOS) program expanded stream monitoring networks including the number of sites where continuous (15-minute) specific conductance is measured in the Colorado River Headwaters and Gunnison River subbasins located east of the Colorado-Utah state line (hereafter, UCOL). Salinity and total dissolved solids (TDS) can be estimated using specific conductance and water type as a proxy (McCleskey et al., 2023); thus, the UCOL is an ideal basin to apply the proxy. The data presented in this data release, including monitoring...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Colorado,
Colorado River,
Geochemistry,
Gunnison River,
Hydrology,
Optical sensors measuring fluorescence of non-biological sources (e.g., dissolved organic matter, wastewater, hydrocarbons, fluorescent dyes, etc.; hereafter referred to as fDOM) are increasingly used in water quality studies because they provide proxy measurements for a variety of contaminants and constituents of concern including metals, wastewater effluent, and DOM (measured in the lab as dissolved organic carbon, (DOC)) concentrations. Similarly, sensors measuring biological (algal) fluorescence (hereafter referred to as chlorophyll (fChl) and phycocyanin (fPC), have gained popularity to measure phytoplankton concentration, biomass, and even primary productivity. As additional sensors are coupled with ongoing...
Categories: Data,
Data Release - Revised;
Tags: California,
California Water Science Center,
EXO YSI,
Organic Matter Research Laboratory,
Sacramento,
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 (NHM; Regan and others, 2018). This child page specifically contains forcings (daily minimum air temperature, daily maximum air temperature, and daily precipitation accumulation) from each of the global circulation models (GCMs) presented in table1_GCMs_used.csv, using the Representative Concentration Pathway 8.5 for simulating potential future streamflow for the period 2006 - 2100.
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 (NHM; Regan and others, 2018). This child page specifically contains the spatial model features (hydrologic response units [HRU_subset.zip] and stream segments [Segments_subset.zip]) on which model inputs and outputs are based. The assembly of model-ready files results in HRU and segment IDs that are different than those in the NHM database. Two "crosswalk files" (nhm_hru_id_crosswalk.csv, nhm_segment_id_crosswalk.csv) are provided so that the model inputs and outputs can be mapped...
Categories: Data;
Tags: United States,
air temperature,
inlandWaters,
model,
precipitation (atmospheric),
This data release contains the R source code, inputs, and selected outputs associated with the turbidity-based regression models used to estimate total phosphorus concentrations and loads for the Missouri River at St. Joseph and Hermann, Missouri, for water years 2008–22. Additionally, the R source code, inputs, and selected outputs for LOADEST models used to estimate daily total phosphorus loads for the study period are included, as these loads were used for days when turbidity data was unavailable.
This data release contains inputs for and outputs from hydrologic simulations for the conterminous United States (CONUS) using the Precipitation Runoff Modeling System (PRMS) version 5.1.0 (https://www.usgs.gov/software/precipitation-runoff-modeling-system-prms) and the USGS National Hydrologic Model infrastructure (NHM, Regan and others, 2018). These simulations were developed to provide estimates of the water budget and statistics of streamflow for historical and potential future conditions using atmospheric forcing data from Coupled Model Intercomparison Project phase 5 (CMIP5). Specific file types include: 1) input forcings of minimum air temperature, maximum air temperature, and daily precipitation derived...
Categories: Data;
Tags: Climatology,
Hydrology,
Land Use Change,
USGS Science Data Catalog (SDC),
United States,
The U.S. Geological Survey (USGS) collected field survey data and developed one-dimensional U.S. Army Corps of Engineers (USACE) Hydrologic Engineering Center’s River Analysis System (HEC-RAS) hydraulic models for selected stream crossing sites in the Squannacook River Basin, north-central Massachusetts. A Geographic Information System (GIS) was developed to derive model input data from Light Detection and Ranging (lidar) Digital Elevation Models (DEM) at each stream crossing location. Hydraulic models were built for existing culvert designs as well as preliminary culvert designs for a 3-sided box, 3-sided arch, and a pipe culvert using field survey and GIS data. The preliminary culvert models were designed to convey...
Categories: Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Aquatic Biology,
Geomorphology,
Hydrology,
Remote Sensing,
Wildlife Biology
White sturgeon fine-scale habitat model archive, Kootenai River near Bonners Ferry, Idaho, 2017-2022
The two-dimensional (2D) hydraulic flow model iRIC FaSTMECH (Nelson, 2003) was used to simulate hydraulic conditions in the Kootenai River near Bonners Ferry, ID during white sturgeon spawning season during 2017, 2018, 2019, 2020, and 2022. Details on model development and calibration in FaSTMECH can be found in other studies (Dudunake and others, in progress; Barton and others, 2005; Barton and others, 2007; Logan and others, 2011; McDonald and others, 2016; McDonald and Nelson, 2018; McDonald and Nelson, 2020). Simulations were run with a 1-meter grid and six-hour time-steps from April 25 to August 15 of 2017, 2018, 2019, 2020, and 2022. Simulated depths and depth-averaged velocities were exported.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bonners Ferry,
Boundary,
Hydrology,
Idaho,
Kootenai,
This data release contains inputs for and outputs from a hydrologic simulation for the conterminous United States (CONUS) using the WRF-Hydro modeling system version 5.2.0 (Gochis and others, 2020) at the NHDPlus version 2 spatial resolution. This simulation was developed to provide water budget estimates for the period 10/1/2009 to 9/30/2021 using the bias adjusted version of the CONUS404 (CONUS404BA) atmospheric forcings dataset (Zhang and others, 2024). The WRF-Hydro model input files are included within this data release and consist of two configuration files, two simulation restart files, nine parameter files, and five types of output files. Each output type has a file for each timestep of the model application...
Note: this data release has been deprecated due to errors found in the ARGNXX.wdm file. Please see the detail in new data release at https://doi.org/10.5066/P146RBHK This data release is the update of the U.S. Geological Survey - ScienceBase data release by Bera (2020), with the processed data through September 30, 2020. The primary data for water year 2020 (a water year is the 12-month period, October 1 through September 30, in which it ends) is downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2020) and is processed following the guidelines documented in Over and others (2010). Daily potential evapotranspiration (PET) in thousandths of an inch is computed from average daily air...
Between 2011 and 2018, numerous restoration treatments were constructed in the Straight and Braided and Straight Reaches of the Kootenai River in northern Idaho as part of the Kootenai River Habitat Restoration Project. Led by the Kootenai Tribe of Idaho, the project aimed to address a range of anthropogenic impacts inhibiting natural recruitment of the critically endangered Kootenai River white sturgeon (Acipenser transmontanus) and other native fish species. This data release contains information for two analyses used to assess the impact of the restoration treatments on channel morphology, flow depths, flow velocity, the extent of pools, and suspended sediment transport within the study reach. Two-dimensional...
This data release is currently under revision and is temporarily unavailable. This data release presents chemical results from investigations of surface-water quality in the Potomac River watershed (encompassing Washington, D.C. and parts of West Virginia, Virginia, Pennsylvania, and Maryland) conducted during low-flow conditions in July through September of 2022. This sampling campaign was conducted at 32 stream sites throughout the watershed (Table 1). A suite of field parameters and inorganic and organic chemical characteristics at each site were characterized using seven separate analytical methods at five laboratories (Table 2). The water-quality results are presented in Table 3. Analytical methods and laboratories...
Categories: Data;
Tags: Chesapeake Bay Watershed,
Environmental Health,
Maryland,
PFAS,
Pennsylvania,
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 (NHM; Regan and others, 2018). This child page specifically contains atmospheric forcings (daily minimum air temperature, daily maximum air temperature, and daily precipitation accumulation) from each of the global circulation models (GCMs) presented in table1_GCMs_used.csv, using the Representative Concentration Pathway (RCP) 2.6 for simulating potential future streamflow for the period 2006 - 2100.
Optical spectra reported here are collected from 17 surface water sampling sites within the Fraser River, a headwaters drainage of the Upper Colorado River Basin in the central western United States. The sample collection was conducted as part of the partnership between the United States Geological Survey’s (USGS) Next Generation Water Observation System (NGWOS) and Proxies Project, in coordination with the USGS Colorado Water Science Center and California Water Science Center, and the East Grand Water Quality Board.
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