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The southeastern United States was modeled to produce 59 simulations of historical and potential future streamflow using the Precipitation Runoff Modeling System (PRMS) as part of the study documented in LaFontaine and others (2019). One simulation used historical observations of climate, 13 used historical climate simulations using statistically downscaled general circulation model (GCM) output from the Coupled Model Intercomparison Project (CMIP5), and 45 used potential future climate simulations using statistically downscaled CMIP5 GCMs for four representative concentration pathways. Historical simulations with observations are for the period 1952-2010, historical simulations with the GCMs are for the period...
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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 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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This child page contains the model input and output data used in the model validation process for one Program for Predicting Polluting Particle Passage through Pits, Puddles and Ponds (P8) model 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). This model was used to simulate storm runoff in the Hahn Arroyo Watershed, an urbanized watershed with concrete lined channels in the northeastern quadrant of Albuquerque that exhibits flashy, monsoonal-driven storm runoff events. The model is described in detail in the associated...
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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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This data release contains inputs for and outputs from hydrologic simulations of the Apalachicola-Chattahoochee-Flint River Basin (ACFB) in the southeastern U.S. using the Precipitation Runoff Modeling System (PRMS). Seven hydrologic models, one coarse-resolution model for the entire ACFB and six fine-resolution models of tributary sub-basins. These simulations were developed to provide estimates of water availability and statistics of streamflow. These PRMS model input and output data are intended to accompany a U.S. Geological Survey Scientific Investigations Report (LaFontaine and others, 2017); they include three types of data: 1) PRMS input parameter and data files, 2) PRMS output data files, and 3) GIS files...
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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 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...
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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)...
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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...
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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,...
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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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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...
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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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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...


map background search result map search result map 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 Model Input and Output for Hydrologic Simulations of the Apalachicola-Chattahoochee-Flint River Basin using the Precipitation Runoff Modeling System Precipitation Runoff Modeling System Input Data for Hydrologic Simulations of the Southeastern United States for Historical and Future Conditions GIS Features Used With the Precipitation Runoff Modeling System for Hydrologic Simulations of the Southeastern 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 Measurement Schedule Regressions 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 Input and Output Data Metadata, Step 1: Input and output data for pre-/post-calibration simulations of solar radiation and potential evapotranspiration for nine near-native subbasins and calibrated subareas Input and Output Data Metadata, Step 3: Input and output data pre-/post-distribution of calibrated parameters to non-calibrated areas in the Upper Rio Grande Basin HEC-HMS Validation Period Input and Output Data P8 Validation Period Input and Output Data HEC-HMS Validation Period Input and Output Data P8 Validation Period Input and Output Data 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 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 Measurement Schedule Regressions Estimation Site 03081800; Spreadsheets and Metadata Estimation Site 03105927; Spreadsheets and Metadata Estimation Site 03108010; Spreadsheets and Metadata Model Input and Output for Hydrologic Simulations of the Apalachicola-Chattahoochee-Flint River Basin using the Precipitation Runoff Modeling System Input and Output Data Metadata, Step 1: Input and output data for pre-/post-calibration simulations of solar radiation and potential evapotranspiration for nine near-native subbasins and calibrated subareas Input and Output Data Metadata, Step 3: Input and output data pre-/post-distribution of calibrated parameters to non-calibrated areas in the Upper Rio Grande Basin 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 Precipitation Runoff Modeling System Input Data for Hydrologic Simulations of the Southeastern United States for Historical and Future Conditions GIS Features Used With the Precipitation Runoff Modeling System for Hydrologic Simulations of the Southeastern United States