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 (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 data release contains input and output data from hydrologic simulations of naturalized or near-native streamflow conditions in the Upper Rio Grande Basin (URGB) in Colorado, New Mexico, Texas, and northern Mexico by using the Precipitation-Runoff Modeling System (PRMS). The Upper Rio Grande Basin PRMS model was calibrated in a three step process by (1) calibrating solar radiation and potential evapotranspiration parameters by subarea for hydrologic response units (HRU) in the model domain, (2) calibrating streamflow parameters in nine subbasins identified to be “near-native” subbasins, or basins with low anthropogenic disturbance, and (3) distributing calibrated parameters from near-native subbasins to uncalibrated HRUs in the model domain. The data release contains the pre- and post-calibrated input and output data, for each of the three steps, needed to run PRMS to achieve the results presented in a U.S. Geological Survey Scientific Investigations Report (Chavarria and others, 2020).

This data release contains input and output data from hydrologic simulations of naturalized or near-native streamflow conditions in the Upper Rio Grande Basin (URGB) in Colorado, New Mexico, Texas, and northern Mexico by using the Precipitation-Runoff Modeling System (PRMS). The Upper Rio Grande Basin PRMS model was calibrated in a three step process by (1) calibrating solar radiation and potential evapotranspiration parameters by subarea for hydrologic response units (HRU) in the model domain, (2) calibrating streamflow parameters in nine subbasins identified to be “near-native” subbasins, or basins with low anthropogenic disturbance, and (3) distributing calibrated parameters from near-native subbasins to uncalibrated HRUs in the model domain. The data release contains the pre- and post-calibrated input and output data, for each of the three steps, needed to run PRMS to achieve the results presented in a U.S. Geological Survey Scientific Investigations Report (Chavarria and others, 2020).

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 files for hydrologic simulations of the Upper Rio Hondo Subbasin, New Mexico using the Precipitation-Runoff Modeling System (PRMS). Input data for the entire Upper Rio Hondo Subbasin were developed, but output data only from the North Fork Eagle Creek subwatershed were used. Two calibrated input datasets are included: one for prefire conditions and one for postfire conditions in the North Fork Eagle Creek subwatershed. These PRMS model input data are intended to accompany a U.S. Geological Survey Scientific Investigations Report (Douglas-Mankin and Moeser, 2018).

This dataset contains input files for hydrologic simulations of the Upper Rio Hondo Subbasin, New Mexico using the Precipitation-Runoff Modeling System (PRMS). Input data for the entire Upper Rio Hondo Subbasin were developed, but output data only from the North Fork Eagle Creek subwatershed were used. Two calibrated input datasets are included: one for prefire conditions and one for postfire conditions in the North Fork Eagle Creek subwatershed. These PRMS model input data are intended to accompany a U.S. Geological Survey Scientific Investigations Report (Douglas-Mankin and Moeser, 2018).

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) of solar radiation and potential ET. Output files include daily simulated solar radiation (sward) potential evapotranspiration (potet) for each hydrologic response unit (HRU) that compose each of the nine near-native subbasins and three selected subareas. These PRMS model input and output data are intended to accompany a U.S. Geological Survey Scientific Investigations Report (Chavarria and others, 2020).

the data files used in the analysis of BCSD CMIP5 simulations as part of the broader analysis of the future of streamflow predictability for the Rio Grande headwaters. The data files were generated using the raw data from the Bureau of Reclamation publicly available datasets (reference below) "Reclamation, 2013. 'Downscaled CMIP3 and CMIP5 Climate and Hydrology Projections: Release of Downscaled CMIP5 Climate Projections, Comparison with preceding Information, and Summary of User Needs', prepared by the U.S. Department of the Interior, Bureau of Reclamation, Technical Services Center, Denver, Colorado. 47pp." Data Portal URL: https://gdo-dcp.ucllnl.org/downscaled_cmip_projections/dcpInterface.html