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 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).

Three separate hydrologic models were used to simulate storm runoff in the Hahn Arroyo Watershed, an urbanized watershed with concrete lined channels in the northeastern quadrant of Albuquerque, New Mexico that exhibits flashy, monsoonal-driven, storm runoff events. This data release contains the input and output files associated with the hydrologic simulations of each of the following models: Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS), Program for Predicting Polluting Particle Passage through Pits, Puddles and Ponds (P8), and Arid-Lands Hydrologic Model (AHYMO). The study was designed to compare three existing rainfall-runoff modeling software packages to determine which provided the best balance of accuracy and usability for simulating storm runoff in small watersheds in the Albuquerque urbanized area. Model simulations were completed for the years 2011-14. Results were used 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).

Three separate hydrologic models were used to simulate storm runoff in the Hahn Arroyo Watershed, an urbanized watershed with concrete lined channels in the northeastern quadrant of Albuquerque, New Mexico that exhibits flashy, monsoonal-driven, storm runoff events. This data release contains the input and output files associated with the hydrologic simulations of each of the following models: Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS), Program for Predicting Polluting Particle Passage through Pits, Puddles and Ponds (P8), and Arid-Lands Hydrologic Model (AHYMO). The study was designed to compare three existing rainfall-runoff modeling software packages to determine which provided the best balance of accuracy and usability for simulating storm runoff in small watersheds in the Albuquerque urbanized area. Model simulations were completed for the years 2011-14. Results were used 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).

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

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

The southeastern United States was modeled to produce historical and potential future simulations of streamflow statistics using the Precipitation Runoff Modeling System (PRMS) as part of the study documented in LaFontaine and others (2019). Hydrologic simulations using one observation-based historical climate dataset (Maurer and others, 2002), 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 were used for the computation of 52 hydrologic statistics of streamflow using output data files from each simulation. Output files for the simulations include: 1) historical annual values of each statistic for each HRU and stream segment for the period 1952-2010 for the observation-based simulation, 1952-2005 for the 13 GCM-based historical simulations, and 2045-2075 for the 45 GCM-based future simulations, 2) PRMS summary output files with daily time step basin-averaged output variables for the period 1950-2010 for the observation-based simulation, 1950-2005 for the 13 GCM-based historical simulations, and 2006-2099 for the 45 GCM-based future simulations. The first year of the PRMS summary output files should be ignored due to model initiation. LaFontaine, J.H., Hart, R.M., Hay, L.E., Farmer, W.H., Bock, A.R., Viger, R.J., Markstrom, S.L., Regan, R.S., and Driscoll, J.M., 2019, Simulation of Water Availability in the Southeastern United States for Historical and Potential Future Climate and Land-Cover Conditions: U.S. Geological Survey Scientific Investigations Report, 2019-5039, 83 p., https://doi.org/10.3133/sir20195039. Maurer, E.P., Wood, A.W., Adam, J.C., Lettenmaier, D.P., and Nijssen, B., 2002, A long-term hydrologically based dataset of land surface fluxes and states for the conterminous United States: Journal of Climate, v. 15, no. 22, p. 3237–3251, accessed September 24, 2017, at https://doi.org/10.1175/1520-0442(2002)015<3237:ALTHBD>2.0.CO;2.

The southeastern United States was modeled to produce historical and potential future simulations of streamflow statistics using the Precipitation Runoff Modeling System (PRMS) as part of the study documented in LaFontaine and others (2019). Hydrologic simulations using one observation-based historical climate dataset (Maurer and others, 2002), 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 were used for the computation of 52 hydrologic statistics of streamflow using output data files from each simulation. Output files for the simulations include: 1) historical annual values of each statistic for each HRU and stream segment for the period 1952-2010 for the observation-based simulation, 1952-2005 for the 13 GCM-based historical simulations, and 2045-2075 for the 45 GCM-based future simulations, 2) PRMS summary output files with daily time step basin-averaged output variables for the period 1950-2010 for the observation-based simulation, 1950-2005 for the 13 GCM-based historical simulations, and 2006-2099 for the 45 GCM-based future simulations. The first year of the PRMS summary output files should be ignored due to model initiation. LaFontaine, J.H., Hart, R.M., Hay, L.E., Farmer, W.H., Bock, A.R., Viger, R.J., Markstrom, S.L., Regan, R.S., and Driscoll, J.M., 2019, Simulation of Water Availability in the Southeastern United States for Historical and Potential Future Climate and Land-Cover Conditions: U.S. Geological Survey Scientific Investigations Report, 2019-5039, 83 p., https://doi.org/10.3133/sir20195039. Maurer, E.P., Wood, A.W., Adam, J.C., Lettenmaier, D.P., and Nijssen, B., 2002, A long-term hydrologically based dataset of land surface fluxes and states for the conterminous United States: Journal of Climate, v. 15, no. 22, p. 3237–3251, accessed September 24, 2017, at https://doi.org/10.1175/1520-0442(2002)015<3237:ALTHBD>2.0.CO;2.

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 1952-2005, and potential future simulations are for the period 2007-2099. 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. LaFontaine, J.H., Hart, R.M., Hay, L.E., Farmer, W.H., Bock, A.R., Viger, R.J., Markstrom, S.L., Regan, R.S., and Driscoll, J.M., 2019, Simulation of Water Availability in the Southeastern United States for Historical and Potential Future Climate and Land-Cover Conditions: U.S. Geological Survey Scientific Investigations Report, 2019-5039, 83 p., https://doi.org/10.3133/sir20195039.