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This data release provides data in support of an assessment of changes in slope of the concentration-discharge relation for total organic carbon in eight major rivers at gaging stations in Connecticut from October 1972 to September 2019 (U.S. Geological Survey water years 1973 to 2019). The rivers include the Connecticut at Thompsonville (01184000), Housatonic at Stevenson (01205500), Quinebaug at Jewett City (01127000), Farmington at Tariffville (01189995), Shetucket at Willamantic (01122500), Naugatuck at Beacon Falls (011208500), Quinnipiac at Wallingford (01196500), and Salmon at East Hampton (01193500). The assessment is described in the article “An increase in the slope of the concentration discharge relation...
Categories: Data;
Tags: Beacon Falls, CT,
Connecticut River,
East Hampton, CT,
Farmington River,
Housatonic River,
These data include land-cover, water bodies, and topographic data.
This child page contains the requisite folder structure along with the model input and output data used in calibrating two Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS) models during the calibration period of the study detailed in the associated Scientific Investigations Report "Comparison of Storm Runoff Models for a Small Watershed in an Urban Metropolitan Area, Albuquerque, New Mexico" (Shephard and Douglas-Mankin, 2020). One model uses a curve-number based loss method approach, and the other model uses an initial and constant infiltration rate loss method. Each model was used to simulate storm runoff in the Hahn Arroyo Watershed, an urbanized watershed with concrete lined channels in the...
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 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 NHMI 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),
Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania". Data were selected for the development of eleven regressions on three streamgage pairs to examine differences in the regression diagnostics and prediction interval based upon the data chosen for the regression. This dataset includes 1) data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage, 2) zero streamflow information, and 3) evaluation of the prediction interval with non-runoff influenced data. For prediction interval development...
Categories: Data;
Tags: Beaver County, PA,
Butler County, PA,
Fayette County, PA,
Greene County, PA,
Streamflow Modeling,
Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania". Data observed at the streamgages for the period of August 1, 2014 through March 31, 2017 are considered. This dataset includes 1) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for the period of May 1, 2015 to March 31, 2017 and 2) evaluation of data observed before May 1, 2015. For prediction interval development, a Move.1 regression was developed between the titled estimation site and titled index streamgage. From...
Categories: Data;
Tags: Beaver County, PA,
Butler County, PA,
Fayette County, PA,
Greene County, PA,
Streamflow Modeling,
The statistically-based estimates of streamflow included here are for the headwater watersheds in the study area described in LaFontaine and others (2019), and were developed using the ordinary kriging methodology described in Farmer (2016). There are four files included that describe the maximum, minimum, mean, and median estimated streamflow for each headwater on a daily time step for the period 10/1/1980-9/30/2010. A GIS shapefile of the headwaters is also included here. Farmer, W.H., 2016, Ordinary kriging as a tool to estimate historical daily streamflow records: Hydrology and Earth System Sciences, v. 20, no. 7, p. 2721-2735, accessed September 27, 2017, at https://doi.org/10.5194/hess-20-2721-2016. LaFontaine,...
This database was developed for the Water Availability Tool for Environmental Resources (WATER) for the Delaware River Basin (DRB), a decision support tool that provides a consistent and objective method of simulating streamflow under historical, forecasted, and managed conditions (Williamson and others, 2015). This database provides historical spatial and climatic data for simulating streamflow for 2001–11, in addition to land-cover forecasts and general circulation model (global climate model; GCM) projections that focus on 2030 and 2060. The database provides for geospatial sampling, at a 10-30 m resolution, of landscape characteristics, including topographic and soil properties, land cover and impervious surface,...
The Rio Grande Basin Study (Basin Study) is a stakeholder-led project funded through the U.S. Bureau of Reclamation that is developing climate adaptation strategies to address the growing gap between water supply and demand in the Upper Rio Grande Basin in Colorado, New Mexico, and Texas. The role of the USGS in the Basin Study is to simulate future streamflow using downscaled climate model projection data as input to the Upper Rio Grande Basin Precipitation-Runoff Modeling System (PRMS) (Chavarria and others, 2020). Simulated streamflow for 27 climate scenarios at 63 sites along the mainstem Rio Grande and its tributaries is used as baseline hydrologic response to climate-change emission scenarios and downscaling...
These data include those for soil characteristics and those TOPMODEL-specific variables that are derived from soils data.
These data consist of measurements of riverbed and floodplain bathymetry and topography, measurements of water-surface elevations and ancillary data. These data are specific to the corridor of the Colorado River from the confluence of the Green and Colorado Rivers near Spanish Bottom, Utah in Canyonlands National Park to the confluence with the Dirty Devil River in Glen Canyon National Recreation Area. The time period for these data are 2020 and 2021. The raster data are digital elevation models (DEMs) for segments of the Colorado River in Canyonlands National Park, Utah and include both bathymetric and topographic data. The data collected in 2020 consist of bathymetric and topographic data for segments of the Colorado...
This data release contains input and output data from hydrologic simulations of streamflow conditions in the Red River Basin (RRB) using the Precipitation-Runoff Modeling System (PRMS). The RRB PRMS model predicts components of the water balance at 3065 hydrologic response units (HRU) and streamflow for 1614 stream segments within the model domain for the simulation period 1981 to 2016. The data release contains two shapefiles: (1) a map of HRUs in the model domain and (2) a map of stream segments in the model domain. In addition to the shapefiles, the data release includes files containing the calibrated parameters of the RRB PRMS model as well as model inputs and outputs. The model inputs are (1) climate data,...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arkansas,
Daymet,
HRU,
Hydrology,
Louisiana,
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 (NHMI, 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,
Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania". Data observed at the streamgages for the period of August 1, 2014 through March 31, 2017 are considered. This dataset includes 1) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for the period of May 1, 2015 to March 31, 2017 and 2) evaluation of data observed before May 1, 2015. For prediction interval development, a Move.1 regression was developed between the titled estimation site and titled index streamgage. From...
Categories: Data;
Tags: Beaver County, PA,
Butler County, PA,
Fayette County, PA,
Greene County, PA,
Streamflow Modeling,
Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania". Data observed at the streamgages for the period of August 1, 2014 through March 31, 2017 are considered. This dataset includes 1) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for the period of May 1, 2015 to March 31, 2017 and 2) evaluation of data observed before May 1, 2015. For prediction interval development, a Move.1 regression was developed between the titled estimation site and titled index streamgage. From...
Categories: Data;
Tags: Beaver County, PA,
Butler County, PA,
Fayette County, PA,
Greene County, PA,
Streamflow Modeling,
Our objective was to model mean annual number of zero-flow days (days per year) for small streams in the Upper Colorado River Basin under historic hydrologic conditions on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a random forest modeling approach to model the relation between zero-flow days per year on gaged streams (115 gages) and environmental variables....
The stream segments available here are for seven applications of the Precipitation Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin (ACFB) by LaFontaine and others (2017). Geographic Information System (GIS) files for the stream segments in each of the seven model applications (whole ACFB, Chestatee River, Chipola River, Ichawaynochaway Creek, Potato Creek, Spring Creek, and Upper Chattahoochee River) are provided as shapefiles with attributes identifying the numbering convention used in the PRMS models of the ACFB.
Types: Citation;
Tags: Alabama,
Apalachicola River,
Chattahoochee River,
Chestatee River,
Chipola River,
Our objective was to model the risk of becoming intermittent under drier climate conditions on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a conditional inference modeling approach to model the relation between intermittency status on gaged streams (115 gages) and selected mean and minimum flow metrics. We then projected intermittency status and if a stream...
Types: Citation;
Tags: Random forests,
Streamflow,
Streamflow modeling,
Ungaged streams,
Upper Colorado River Basin,
Our objective was to model specific mean daily flow (mean daily flow divided by drainage area [cubic feet per second per square mile]) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate.We used a random forest modeling approach to model the relation between specific mean daily flow on gaged streams (115 gages) and environmental variables. We then projected specific mean...
Types: Citation;
Tags: Random forests,
Streamflow,
Streamflow modeling,
Ungaged streams,
Upper Colorado River Basin,
Our objective was to model specific minimum flow (mean of the annual minimum flows divided by drainage area [cubic feet per second per square mile]) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a random forest modeling approach to model the relation between specific minimum flow on gaged streams (115 gages) and environmental variables. We then projected...
Types: Citation;
Tags: Random forests,
Streamflow,
Streamflow modeling,
Ungaged streams,
Upper Colorado River Basin,
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