The supplemental data presented here contain a macro-driven Microsoft Excel workbook (Office 365 format) that was developed to simultaneously balance streamflow with precipitation distributions in the Harney Basin for streamgaged and ungaged upland watersheds and other upland areas. The workbook allows for as many as five precipitation ranges to be manually specified. Precipitation for the area within each range is summed by watershed or ungaged area and multiplied by a fitted coefficient to estimate precipitation-derived streamflow.

This data release contains the model input and output data, and supporting files, from hydrologic simulations of streamflow conditions in the upper Klamath River Basin using the Precipitation-Runoff Modeling System (PRMS). The model was calibrated for the portion of the basin draining into Upper Klamath Lake. It simulates daily streamflow, snow, solar radiation, evapotranspiration, surface-water, and groundwater processes within the basin. The model calibration period spanned water years 2000 through 2015, and the model validation period spanned water years 1984 through 1999. The model was calibrated and validated using measured streamflow, snowpack, evapotranspiration, and solar radiation data sets.

This data release contains the model input and output data, and supporting files, from hydrologic simulations of streamflow conditions in the upper Klamath River Basin using the Precipitation-Runoff Modeling System (PRMS). The model was calibrated for the portion of the basin draining into Upper Klamath Lake. It simulates daily streamflow, snow, solar radiation, evapotranspiration, surface-water, and groundwater processes within the basin. The model calibration period spanned water years 2000 through 2015, and the model validation period spanned water years 1984 through 1999. The model was calibrated and validated using measured streamflow, snowpack, evapotranspiration, and solar radiation data sets.

The supplemental data presented here contain tabular data (in .csv format) including measured and estimated daily and water-year (1982–2016) streamflow for selected watersheds and estimated springflow at Page Springs in Harney Basin. Daily streamflow data are a composite of measured streamflow and extended streamflow records from short-term streamgages in gaged watersheds. Short-term or discontinuous records in gaged watersheds were extended to the period 1982–2016 using the Kendal-Thiel Robust Line (KTRL) method (Helsel and Hirsch, 2020) and ordinary-least squares (OLS) linear regression. Springflow estimates were provided by the U.S. Fish and Wildlife Service.

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.

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.

This metadata record describes monthly input and output data covering the period 1900-2015 for a water-balance model described in McCabe and Wolock (2011). The input datasets are precipitation and air temperature from the PRISM group at Oregon State University. The model outputs include estimated potential evapotranspiration (PET), actual evapotranspiration (AET), runoff (RUN) (streamflow per unit area), soil moisture storage (STO), and snowfall (SNO). The datasets are arranged in tables of monthly total or average values measured in millimeters or degrees C and then multiplied by 100. The data are indexed by the identifier PRISMID, which refers to an ASCII raster of cells in an associated file named PRISMID.asc. Water-balance model inputs and outputs also can be linked to a file (PRISMID_LL.csv) of latitude and longitude values in a separate comma separated data file based on PRISMID values. Each input and output variable comma separated file contains 10 years of monthly data for all 481639 PRISMID raster cells in the conterminous United States. The files containing input and output data can be georeferenced by joining them to an ASCII raster of PRISMID cells, named prismid.asc. The source for the input data is the PRISM (Parameter-elevation Relationships on Independent Slopes Model) Group at Oregon State University (http://www.prism.oregonstate.edu/historical/ and http://www.prism.oregonstate.edu/recent/). These data were downloaded from the PRISM web site on various dates.

This metadata record describes monthly input and output data covering the period 1900-2015 for a water-balance model described in McCabe and Wolock (2011). The input datasets are precipitation and air temperature from the PRISM group at Oregon State University. The model outputs include estimated potential evapotranspiration (PET), actual evapotranspiration (AET), runoff (RUN) (streamflow per unit area), soil moisture storage (STO), and snowfall (SNO). The datasets are arranged in tables of monthly total or average values measured in millimeters or degrees C and then multiplied by 100. The data are indexed by the identifier PRISMID, which refers to an ASCII raster of cells in an associated file named PRISMID.asc. Water-balance model inputs and outputs also can be linked to a file (PRISMID_LL.csv) of latitude and longitude values in a separate comma separated data file based on PRISMID values. Each input and output variable comma separated file contains 10 years of monthly data for all 481639 PRISMID raster cells in the conterminous United States. The files containing input and output data can be georeferenced by joining them to an ASCII raster of PRISMID cells, named prismid.asc. The source for the input data is the PRISM (Parameter-elevation Relationships on Independent Slopes Model) Group at Oregon State University (http://www.prism.oregonstate.edu/historical/ and http://www.prism.oregonstate.edu/recent/). These data were downloaded from the PRISM web site on various dates.