The U.S. Geological Survey (USGS), in cooperation with the Houlton Band of Maliseet Indians (HBMI), has developed tools to assess the effects climate change on hydrology and water temperatures in the Meduxnekeag River Watershed in Maine. A USGS Scientific Investigations Report (SIR) report documents tools and datasets developed by the USGS to evaluate how climate change will affect the hydrology and water temperature in the watershed. Future hydrologic climate projections were developed based on changes to the precipitation and air-temperature input to the USGS Precipitation Runoff Modeling System (PRMS) (Markstrom and others, 2015) version 5.1.0. The baseline input data sets to the model were precipitation and air temperature data from 1980 to 2016. Future scenarios included increases in precipitation by 0-, 5- , 10, and 15-percent and increase in air temperature by 0, 3.6, 7.0, and 10.4 degrees Fahrenheit. The data include the input to and output from the PRMS developed to provide streamflow and water temperature simulations under selected changes in air temperature and precipitation. The data also includes shapefiles of the hydrologic response units and stream segments with identifiers matching those in the PRMS model. Markstrom, S.L., Regan, R.S., Hay, L.E., Viger, R.J., Webb, R.M.T., Payn, R.A., and LaFontaine, J.H., 2015, PRMS–IV, the precipitation-runoff modeling system, version 4: U.S. Geological Survey Techniques and Methods, book 6, chap. B7, 158 p., accessed October 1, 2018, at https://doi.org/10.3133/tm6B7.

Streamflow and stream temperature in the Donner und Blitzen River Basin for water years 1980 through 2021 were simulated using the Precipitation-Runoff Modeling System (PRMS) with the "stream_temp" module. The model domain was discretized into 175 stream segments and calibrated to observed streamflow and stream temperature at points distributed throughout the basin. Model input files, including a PRMS control file, parameter file, and meteorological forcing files, are included in the Blitzen_PRMS_input.zip file. Select output variables for each hydrologic response unit (HRU), each stream segment, and PRMS basin summary outputs are included in the Blitzen_PRMS_output.zip file. Shapefiles of the model domain, model components, and observation points are contained in the Blitzen_PRMS_GIS.zip file. Streamflow and stream temperature are important components of fish growth potential and the model output contained here can support distributed fish bioenergetics models and drought assessment within the Donner und Blitzen River Basin.

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 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.

The continental United States (CONUS) was modeled to produce simulations of historical and potential future streamflow using the Precipitation-Runoff Modeling System (PRMS) application of the USGS National Hydrologic Model infrastructure (NHM; Regan and others, 2018). This child page specifically contains atmospheric forcings (daily minimum air temperature, daily maximum air temperature, and daily precipitation accumulation) from each of the global circulation models (GCMs) presented in table1_GCMs_used.csv, for simulating historical streamflow for the period 1950 - 2005.

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 inputs for and outputs from hydrologic simulations for the conterminous United States (CONUS) using the Precipitation Runoff Modeling System (PRMS) version 5.1.0 (https://www.usgs.gov/software/precipitation-runoff-modeling-system-prms) and the USGS National Hydrologic Model infrastructure (NHM, Regan and others, 2018). These simulations were developed to provide estimates of the water budget and statistics of streamflow for historical and potential future conditions using atmospheric forcing data from Coupled Model Intercomparison Project phase 5 (CMIP5). Specific file types include: 1) input forcings of minimum air temperature, maximum air temperature, and daily precipitation derived from general circulation models (GCM, table1_GCMs_used.csv), 2) output files of simulated streamflow for each stream segment in the model, 3) GIS files of the model hydrologic response units and stream segments, and 4) a suite of streamflow statistics for each modeled segment. This data release complements data release (https://doi.org/10.5066/P9CVHLMB) which contains historical simulations based on historically observed atmospheric forcings rather than GCM-derived forcings. The same parameter files and model configuration files were used for all model runs and are available in that data release.