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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....
Types: Citation;
Tags: Random forests,
Streamflow,
Streamflow modeling,
Ungaged streams,
Upper Colorado River Basin,
This dataset contains input parameter and data files, as well as output files for simulations before calibration (pre-calibration) and after calibration (post-calibration) of solar radiation and potential evapotranspiration (ET) parameters. Simulated solar radiation and potential ET for nine near-native subbasins and three selected subareas [16, 71, 124] are included for parts of the Upper Rio Grande Basin in Colorado, New Mexico, Texas, and northern Mexico using the Precipitation-Runoff Modeling System (PRMS). Input data include pre-calibration input parameters for the entire Upper Rio Grande Basin developed from the National Hydrologic Model (NHM) parameter database, and model parameters after calibration (post-calibration)...
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 child page contains the requisite folder structure along with model input and output data used in the model validation process for two Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS) models during the validation 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 (CN) based loss method approach, and the other model uses an initial and constant (IC) infiltration rate loss method. Each model was used to simulate storm runoff in the Hahn Arroyo Watershed, an urbanized watershed with concrete...
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 U.S. Geological Survey Precipitation-Runoff Modeling System (PRMS) was used to assess the effects of changing climate and land disturbance on seasonal streamflow in the Rio Grande Headwaters (RGHW) region. Three applications of PRMS in the RGHW were used to simulate 1) baseline effects of climate (see RGHW-PRMS_baseline_input.zip), 2) effects of bark-beetle induced tree mortality (see RGHW-PRMS_BB_input.zip), and 3) effects of wildfire (see RGHW-PRMS_fire_input.zip), on components of the hydrologic cycle by hydrologic response unit (HRU) and subsequent seasonal streamflow runoff from April through September for water years 1980 through 2017. PRMS input files (control, climate-by-hru, data, parameter, dynamic...
Categories: Data;
Tags: Data Visualization & Tools,
Del Norte,
Rio Grande,
Rivers, Streams and Lakes,
Science Tools For Managers,
Watershed-scale coupled surface water (SW) – groundwater (GW) flow modeling was used to examine changes in streamflow and SW – GW interaction resulting from irrigation and associated SW diversions and GW pumping. The U.S. Geological Survey (USGS) model GSFLOW, an integration of the USGS Precipitation-Runoff Modeling System (PRMS) and the Modular Ground-Water Flow Model (MODFLOW), was utilized for this effort. Processes represented in the model include daily rain, snowfall, snowmelt, streamflow, surface runoff, interflow, infiltration, soil-zone evapotranspiration (ET), and subsurface unsaturated and saturated GW flow and ET. The upper Smith River watershed, an important agricultural and recreational fishing area...
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 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 and the USGS National Hydrologic Model Infrastructure (NHMI, Regan and others, 2018). Historical simulations using the Maurer forcings (Maurer and others, 2002) were conducted for the period 1950-2010. This metadata record documents the simulation output files for simulations ran using the static parameters file. The output files are aggregated at the HUC4 level and are grouped and downloadable by HUC2 hydrologic region. Each zip folder contains identical information, just for a different region and set of hydrologic response...
This dataset contains input parameter and data files, as well as output files for simulations prior to the distribution of parameters from near-native subbasins to uncalibrated hydrologic response units (HRUs) (pre-distribution) and after parameters are distributed to HRUs (post-distribution). Simulated and observed streamflow for sites along the mainstem of the Rio Grande River are included for parts of the Upper Rio Grande Basin in Colorado, New Mexico, Texas, and northern Mexico using the Precipitation-Runoff Modeling System (PRMS). Input data include pre-distribution input parameters for the entire Upper Rio Grande Basin. Pre-distribution parameters used as input to PRMS for step 3 are the post-calibration parameters...
The Precipitation-Runoff Modeling System (PRMS) was used to produce simulations of streamflow for seven watersheds in eastern and central Montana for a baseline period (water years 1982-1999) and three future periods (water years 2021-2038, 2046–2063, and 2071-2038). The seven areas that were modeled are the O'Fallon, Redwater, Little Dry, Middle Musselshell, Judith, Cottonwood Creek, and Belt watersheds. Appendix 2 is provided as supplementary information to accompany the forthcoming journal article Potential Effects of Climate Change on Streamflow for Seven Watersheds in Eastern and Central Montana. These data document the monthly streamflow (in cubic meters per second) at the downstream end of each stream...
Categories: Data;
Types: Citation;
Tags: Great Plains,
Montana,
climate change,
effects of climate change,
fish,
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 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),
The hydrologic response units (HRUs) and stream segments available here are for an application of the Precipitation Runoff Modeling System (PRMS) in the southeastern United States by LaFontaine and others (2019). Geographic Information System (GIS) files for the HRUs and stream segments are provided as shapefiles with attribute hru_id_1 identifying the HRU numbering convention used in the PRMS model and seg_id_gcp identifying the stream segment numbering convention used in the PRMS model. This GIS files represent the watershed area for an approximately 1.16 million square kilometer area of the southeastern United States. A total of 20,251 HRUs and 10,742 stream segments are used in this modeling application. LaFontaine,...
The USGS and Newmont Mining Corp. surveyed 51 cross sections to determine hydraulic characteristics throughout 12 model reaches. The accuracy of the surveyed cross sections is believed to be +/- 0.5 ft. Field surveys included measuring the channel cross section up to the approximate altitude of the highest flood and includes auxiliary channels. Surveyed cross sections generally were at representative locations about every 3 miles along the Humboldt River channel. In areas where long overbank sections occurred, supplemental altitudes were determined from topographic maps in order to extend surveyed parts of cross sections so that each section represented the full width of the floodplain. In this dataset there is...
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 and the USGS National Hydrologic Model Infrastructure (NHMI, Regan and others, 2018). Historical simulations using the Maurer atmospheric forcings (Maurer and others, 2002) were produced for the period 1950-2010. These data document the PRMS climate input data files for these simulations. Input files for the simulations include the PRMS base parameter file and five dynamic parameter files that update model parameters on an annual time step for impervious area, dominant land cover type, and canopy interception. Maurer forcings...
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 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.
Longer, drier summers projected for arid and semi-arid regions of western North America under climate change are likely to have enormous consequences for water resources and river-dependent ecosystems. Many climate change scenarios for this region involve decreases in mean annual streamflow, latesummer precipitation and late-summer streamflow in the coming decades. Intermittent streams are already common in this region, and it is likely that minimum flows will decrease and some perennial streams will shift to intermittent flow under climate-driven changes in timing and magnitude of precipitation and runoff, combined with increases in temperature. To understand current intermittency among streams and analyze the...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
LCC Network Science Catalog,
LCC Network Science Catalog,
Random forests,
Report,
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) observed streamflow and qualifier indicating the presence of precipitation or runoff at various streamgages, 2) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for use in runoff influenced streamflow analysis, 3) all data used to develop prediction intervals for the titled estimation site...
Categories: Data;
Tags: Beaver County, PA,
Butler County, PA,
Fayette County, PA,
Greene County, PA,
Streamflow Modeling,
The datasets herein are the observed instantaneous values of streamflow for the titled U.S. Geological Survey streamgage with precipitation metadata added. Days where streamflow is directly affected by precipitation and the day afterwards is identified with a "B". Two days after a precipitation event is identified with a "C". If the streamflow was affected by snow or ice, the data is identified with a "D". Any data that is not precipitation influenced is identified with an "A". This metadata was applied on the basis of numerous rain gages in the vicinity of the streamgage and radar images obtained from the National Oceanic and Atmospheric Administration website https://www.ncdc.noaa.gov/data-access/radar-data/radar-map-tool...
Categories: Data;
Tags: Beaver County, PA,
Butler County, PA,
Fayette County, PA,
Greene County, PA,
Streamflow Modeling,
The Apalachicola-Chattahoochee-Flint River Basin (ACFB) was modeled to produce fourteen simulations of streamflow with the Precipitation Runoff Modeling System (PRMS); seven simulations without water use effects and seven simulations with water use effects. The simulations were for 1) the whole ACFB basin (1982-2012), 2) the Chestatee River sub-basin (1982-2012), 3) the Chipola River sub-basin (1982-2012), 4) the Ichawaynochaway Creek sub-basin (1982-2012), 5) the Potato Creek sub-basin (1942-2012), 6) the Spring Creek sub-basin (1952-2012), and 7) the upper Chattahoochee River sub-basin (1982-2012). These data document the PRMS parameter files and input data files used in each of these simulations. Input files...
Types: Citation;
Tags: Apalachicola River,
Chattahoochee River,
Chestatee River,
Chipola River,
Flint River,
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