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 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.

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.

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.

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).

This dataset is a combination of annual Probability of Streamflow Permanence (PROSPER) predictions, Northwest Stream Temperature (NorWeST) predictions of monthly mean stream temperatures for August of each year, and predicted monthly streamflow discharge for stream reaches in the Pacific Northwest from the USGS database of natural monthly streamflow estimates, U.S., 2004-2015. The PROSPER model provides predictions of the annual probability of a 30-meter stream segment maintaining year-round streamflow. The NorWeST model provides annual predictions of monthly mean stream temperature for August for 1-kilometer stream segments. Finally, predictions of natural monthly streamflow were combined with NorWeST and PROSPER to provide information on the volume of water in a given system. The data are merged using the Medium Resolution National Hydrography Dataset, which serves as the foundation for the stream lines that the data are represented with. The intent of this merged dataset is to analyze the availability of current and future aquatic habitat.

This dataset is a combination of annual Probability of Streamflow Permanence (PROSPER) predictions, Northwest Stream Temperature (NorWeST) predictions of monthly mean stream temperatures for August of each year, and predicted monthly streamflow discharge for stream reaches in the Pacific Northwest from the USGS database of natural monthly streamflow estimates, U.S., 2004-2015. The PROSPER model provides predictions of the annual probability of a 30-meter stream segment maintaining year-round streamflow. The NorWeST model provides annual predictions of monthly mean stream temperature for August for 1-kilometer stream segments. Finally, predictions of natural monthly streamflow were combined with NorWeST and PROSPER to provide information on the volume of water in a given system. The data are merged using the Medium Resolution National Hydrography Dataset, which serves as the foundation for the stream lines that the data are represented with. The intent of this merged dataset is to analyze the availability of current and future aquatic habitat.

This dataset is a combination of annual Probability of Streamflow Permanence (PROSPER) predictions, Northwest Stream Temperature (NorWeST) predictions of monthly mean stream temperatures for August of each year, and predicted monthly streamflow discharge for stream reaches in the Pacific Northwest from the USGS database of natural monthly streamflow estimates, U.S., 2004-2015. The PROSPER model provides predictions of the annual probability of a 30-meter stream segment maintaining year-round streamflow. The NorWeST model provides annual predictions of monthly mean stream temperature for August for 1-kilometer stream segments. Finally, predictions of natural monthly streamflow were combined with NorWeST and PROSPER to provide information on the volume of water in a given system. The data are merged using the Medium Resolution National Hydrography Dataset, which serves as the foundation for the stream lines that the data are represented with. The intent of this merged dataset is to analyze the availability of current and future aquatic habitat.