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This data release contains inputs for and outputs from hydrologic simulations of the upper Chattahoochee River Basin in northeast Georgia using the Precipitation Runoff Modeling System (PRMS). These simulations were developed to provide example applications of enhancements to the PRMS for the following topics: two new time-series input options (dynamic parameter module and water-use module), two new output options (Hydrologic Response Unit (HRU) summary output module and basin variables summary output module), and three updates of existing capabilities (stream and lake flow routing module, surface-depression storage and flow simulation, and the initial-conditions specification). These PRMS model input and output...
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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...
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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...
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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...
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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...
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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 dynamic 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...
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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...
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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 12 regressions to examine the differences between prediction intervals when runoff-influenced data were included in the data selection and when it was not. 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 a Move.1...
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The upper Chattahoochee River Basin in northeast Georgia was modeled to produce seven example simulations of streamflow for demonstration of enhancements to the Precipitation Runoff Modeling System (PRMS). These data document the PRMS output data files from each of these simulations. Output files for the following simulations are included: 1) a baseline simulation of the existing model (includes HRU summary and basin variables output modules, and updates to depression storage), 2) a simulation using the dynamic parameters enhancement, 3) a simulation that generates an initial conditions file, 4) a simulation that uses a previously generated initial conditions file, 5) a simulation that uses the flow replacement...
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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...
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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...
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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...
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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...
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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 (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...
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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...
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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...
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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...
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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...
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...
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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 (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...


map background search result map search result map Appendix 2. Simulated monthly mean streamflows for the seven study watersheds in eastern and central Montana, for the baseline period (WY 1982 – 1999) and future periods (WYs 2021 – 2038, 2046 – 2063 and 2071 – 2088) for the three General Circulation Models used in the regional climate model. Predicted specific mean daily flow Predicted specific minimum flow Predicted hydrology (intermittency) under drier climate conditions Modeled intermittency risk for small streams in the Upper Colorado River Basin under climate change Model Input and Output for Hydrologic Simulations of the Upper Chattahoochee River Basin that Demonstrate Enhancements to the Precipitation Runoff Modeling System Precipitation Runoff Modeling System Output Data from Hydrologic Simulations of the Upper Chattahoochee River Basin in Northeast Georgia, United States Index-gage Data and Regressions in Support of Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania River Channel Cross-Sections, Middle Humboldt River, North-Central Nevada Streamgage Streamflow with Precipitation and Runoff Indication Runoff Influence Analysis Estimation Site 03081800; Spreadsheets and Metadata Estimation Site 03105927; Spreadsheets and Metadata Estimation Site 03108010; Spreadsheets and Metadata Model input for Precipitation-Runoff Modeling System simulations in the Rio Grande Headwaters, Colorado, for water years 1980 through 2017 Streamflow input datasets and model results using the Weighted Regressions on Time, Discharge, and Season (WRTDS) Models to estimate total organic carbon and other constituent concentrations in eight rivers in Connecticut, water years 1973 to 2019 Output Data by HUC4 Sub-basin for Hydrologic Simulations of the CONUS using the NHM-PRMS, 1950-2010, Maurer Calibration, Static Parameters Output Data by HUC4 Sub-basin for Hydrologic Simulations of the CONUS using the NHM-PRMS, 1950-2010, Maurer Calibration, Dynamic Parameters GIS Features Used With Hydrologic Simulations for the Conterminous United States for Historical and Future Conditions Using the National Hydrologic Model Infrastructure (NHMI) and the Coupled Model Intercomparison Project Phase 5 (CMIP5), 1950 - 2100 Streamflow Statistics for Hydrologic Simulations for the Conterminous United States for Historical and Future Conditions Using the National Hydrologic Model Infrastructure (NHMI) and the Coupled Model Intercomparison Project Phase 5 (CMIP5), 1950 - 2100 River Channel Cross-Sections, Middle Humboldt River, North-Central Nevada Model input for Precipitation-Runoff Modeling System simulations in the Rio Grande Headwaters, Colorado, for water years 1980 through 2017 Model Input and Output for Hydrologic Simulations of the Upper Chattahoochee River Basin that Demonstrate Enhancements to the Precipitation Runoff Modeling System Precipitation Runoff Modeling System Output Data from Hydrologic Simulations of the Upper Chattahoochee River Basin in Northeast Georgia, United States Index-gage Data and Regressions in Support of Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania Streamgage Streamflow with Precipitation and Runoff Indication Runoff Influence Analysis Estimation Site 03081800; Spreadsheets and Metadata Estimation Site 03105927; Spreadsheets and Metadata Estimation Site 03108010; Spreadsheets and Metadata Streamflow input datasets and model results using the Weighted Regressions on Time, Discharge, and Season (WRTDS) Models to estimate total organic carbon and other constituent concentrations in eight rivers in Connecticut, water years 1973 to 2019 Appendix 2. Simulated monthly mean streamflows for the seven study watersheds in eastern and central Montana, for the baseline period (WY 1982 – 1999) and future periods (WYs 2021 – 2038, 2046 – 2063 and 2071 – 2088) for the three General Circulation Models used in the regional climate model. Modeled intermittency risk for small streams in the Upper Colorado River Basin under climate change Predicted hydrology (intermittency) under drier climate conditions Predicted specific mean daily flow Predicted specific minimum flow Output Data by HUC4 Sub-basin for Hydrologic Simulations of the CONUS using the NHM-PRMS, 1950-2010, Maurer Calibration, Static Parameters Output Data by HUC4 Sub-basin for Hydrologic Simulations of the CONUS using the NHM-PRMS, 1950-2010, Maurer Calibration, Dynamic Parameters GIS Features Used With Hydrologic Simulations for the Conterminous United States for Historical and Future Conditions Using the National Hydrologic Model Infrastructure (NHMI) and the Coupled Model Intercomparison Project Phase 5 (CMIP5), 1950 - 2100 Streamflow Statistics for Hydrologic Simulations for the Conterminous United States for Historical and Future Conditions Using the National Hydrologic Model Infrastructure (NHMI) and the Coupled Model Intercomparison Project Phase 5 (CMIP5), 1950 - 2100