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 in a set of 27 climate projections. Each input climate data file includes precipitation, maximum temperature, and minimum temperature for each hydrologic response unit in the PRMS model. Model output includes 27 files of PRMS simulated projected daily streamflow at 63 sites in the Upper Rio Grande Basin in Colorado, New Mexico, and Texas for the years 1981-2099.

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 in a set of 27 climate projections. Each input climate data file includes precipitation, maximum temperature, and minimum temperature for each hydrologic response unit in the PRMS model. Model output includes 27 files of PRMS simulated projected daily streamflow at 63 sites in the Upper Rio Grande Basin in Colorado, New Mexico, and Texas for the years 1981-2099.

This dataset contains input parameter and data files, as well as output files for simulations prior to (pre-calibration) and after calibration (post-calibration) of streamflow parameters for nine near-native subbasins. Simulated and observed streamflow for nine near-native subbasins 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. Pre-calibrated parameters used as input to PRMS for step 2 are the post-calibration parameters in Step 1-Solar Radiation and Potential ET calibration. Post-calibration model parameters include parameters after calibration of streamflow in selected nine near-native subbasins. Output files include daily PRMS simulated streamflow (seg_outflow) and observed streamflow at USGS streamgages for each near-native subbasin. These PRMS model input and output data are intended to accompany a U.S. Geological Survey Scientific Investigations Report (Chavarria and others, 2020).

This dataset contains input parameter and data files, as well as output files for simulations prior to (pre-calibration) and after calibration (post-calibration) of streamflow parameters for nine near-native subbasins. Simulated and observed streamflow for nine near-native subbasins 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. Pre-calibrated parameters used as input to PRMS for step 2 are the post-calibration parameters in Step 1-Solar Radiation and Potential ET calibration. Post-calibration model parameters include parameters after calibration of streamflow in selected nine near-native subbasins. Output files include daily PRMS simulated streamflow (seg_outflow) and observed streamflow at USGS streamgages for each near-native subbasin. These PRMS model input and output data are intended to accompany a U.S. Geological Survey Scientific Investigations Report (Chavarria and others, 2020).

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 in Step 2-Calibration Near-Native subbasins. Post-distribution model parameters include interpolated parameters from the calibrated near-native subbasins. Output files include daily PRMS simulated streamflow (seg_outflow) and observed streamflow (runoff) at five USGS streamgages along the mainstem Rio Grande. These PRMS model input and output data are intended to accompany a U.S. Geological Survey Scientific Investigations Report (Chavarria and others, 2020).

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 in Step 2-Calibration Near-Native subbasins. Post-distribution model parameters include interpolated parameters from the calibrated near-native subbasins. Output files include daily PRMS simulated streamflow (seg_outflow) and observed streamflow (runoff) at five USGS streamgages along the mainstem Rio Grande. These PRMS model input and output data are intended to accompany a U.S. Geological Survey Scientific Investigations Report (Chavarria and others, 2020).

This data release contains input for and outputs from hydrologic simulations of the upper Pipestem creek basin located in the Prairie Pothole region of North Dakota using the Precipitation Runoff Modeling System (PRMS).These simulations were developed to provide example applications of model calibration using alternative calibration targets. These PRMS model input and output data are intended to accompany a journal paper (Hay et al, 2017); they include three types of data: 1) PRMS climate inputs, 2) PRMS parameter files, and 3) PRMS outputs.

This data release contains input for and outputs from hydrologic simulations of the upper Pipestem creek basin located in the Prairie Pothole region of North Dakota using the Precipitation Runoff Modeling System (PRMS).These simulations were developed to provide example applications of model calibration using alternative calibration targets. These PRMS model input and output data are intended to accompany a journal paper (Hay et al, 2017); they include three types of data: 1) PRMS climate inputs, 2) PRMS parameter files, and 3) PRMS outputs.

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, (2) measured streamflow data, (3) water-use data, and (4) land-cover change data. Model outputs include daily time step predictions of groundwater flow, total outflow, surface runoff, and subsurface flow components for each stream segment in the model domain. The model also produces daily estimates of groundwater flow, precipitation, solar radiation, surface runoff, subsurface flow, and outflow; the daily output is aggregated to monthly mean values for each HRU in the model domain. This data release accompanies the documentation of the RRB PRMS model in a U.S. Geological Survey Scientific Investigations Report by Roland (2023).

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, (2) measured streamflow data, (3) water-use data, and (4) land-cover change data. Model outputs include daily time step predictions of groundwater flow, total outflow, surface runoff, and subsurface flow components for each stream segment in the model domain. The model also produces daily estimates of groundwater flow, precipitation, solar radiation, surface runoff, subsurface flow, and outflow; the daily output is aggregated to monthly mean values for each HRU in the model domain. This data release accompanies the documentation of the RRB PRMS model in a U.S. Geological Survey Scientific Investigations Report by Roland (2023).