Jacob H. LaFontaine Jeffrey W. Riley 20230823 tabular digital data USGS South Atlantic Water Science Center U.S. Geological Survey https://doi.org/10.5066/P9EBKREQ 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. These data document the input and output data files for hydrologic simulations that used the Precipitation Runoff Modeling System application of the USGS National Hydrologic Model infrastructure. These simulations were developed for the U.S Geological Survey Southeast Climate Adaptation Science Center to provide outputs of streamflow and related statistics for historical and potential future conditions for use in assessing potential changes in hydrologic response. Please note limitations described in the text before using or referring to the input/output data. 19500101 21001231 Time period of simulation Complete None planned -125.6836 -66.2695 49.4967 24.2069 ISO 19115 Topic Category inlandWaters USGS streamflow model streamflow modeling precipitation (atmospheric) air temperature USGS Metadata Identifier USGS:6373bd3bd34ed907bf6c6e25 USGS United States None. Please see 'Distribution Info' for details. None. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations. Jacob H LaFontaine U.S. Geological Survey, Southeast Region Hydrologist mailing address

1770 Corporate Drive Suite 500

Norcross GA 30093 United States 678-924-6664 678-924-6710 jlafonta@usgs.gov USGS Water Availability and Use Science Program; Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative; Department of the Interior Southeast Climate Adaptation Science Center Dell 64-bit computer with Windows 10 operating system. Jacob H LaFontaine Lauren E Hay J.R. Riley 2023 dataset https://www.sciencebase.gov U.S. Geological Survey https://doi.org/10.5066/p9cvhlmb R. Steven Regan Steven L. Markstrom Lauren E. Hay Roland J. Viger Parker A. Norton Jessica M. Driscoll Jacob H. LaFontaine 2018 publication n/a US Geological Survey https://doi.org/10.3133/tm6B9 R.S. Regan K.E. Juracek L.E. Hay S.L. Markstrom R.J. Viger J.M. Driscoll J.H. LaFontaine P.A. Norton 201901 publication Environmental Modelling & Software vol. 111 n/a Elsevier BV ppg. 192-203 https://doi.org/10.1016/j.envsoft.2018.09.023 Jacob H. LaFontaine Rheannon M. Hart Lauren E. Hay William H. Farmer Andy R. Bock Roland J. Viger Steven L. Markstrom R. Steven Regan Jessica M. Driscoll 2019 publication n/a US Geological Survey https://doi.org/10.3133/sir20195039 No formal attribute accuracy tests were conducted. No formal logical accuracy tests were conducted. Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details. A formal accuracy assessment of the horizontal positional information in the data set has not been conducted. A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable. Levi Brekke Bridget L. Thrasher Edwin P. Maurer Tom Pruitt 20130507 tabular digital data https://gdo-dcp.ucllnl.org/downscaled_cmip_projections/ Digital and/or Hardcopy 19500101 21001231 Time period of simulation CMIP5 atmospheric forcings Atmospheric forcings of precipitation and air temperature. Model inputs were obtained from the USGS National Hydrologic Model Infrastructure and the Coupled Model Intercomparison Project Phase 5. Model simulations used version 5.1.0 of the USGS Precipitation-Runoff Modeling System. 2022 Albers Conical Equal Area 29.5 45.5 -96.0 23.0 0.0 0.0 coordinate pair 0.6096 0.6096 meters North_American_Datum_1983 GRS_1980 6378137.0 298.257222101 table1_GCMs_used.csv Comma Separated Value (CSV) file containing data. Producer Defined General Circulation Model Name of the General Circulation Model Producer Defined ACCESS1-0 General Circulation Model name. Producer defined bcc-csm1-1 General Circulation Model name. Producer defined BNU-ESM General Circulation Model name. Producer defined CCSM4 (run 1) General Circulation Model name. Producer defined GFDL-ESM2G General Circulation Model name. Producer defined GFDL-ESM2M General Circulation Model name. Producer defined IPSL-CM5A-LR General Circulation Model name. Producer defined IPSL-CM5A-MR General Circulation Model name. Producer defined MIROC5 General Circulation Model name. Producer defined MIROC-ESM General Circulation Model name. Producer defined MIROC-ESM-CHEM General Circulation Model name. Producer defined MRI-CGCM3 General Circulation Model name. Producer defined NorESM1-M General Circulation Model name. Producer defined Representative Concentration Pathway Name of the Representation Concentration Pathway scenario Producer Defined historical Historical GCM simulation. Producer defined rcp4.5 Future GCM simulation using Representative Conentration Pathway 4.5. Producer defined rcp8.5 Future GCM simulation using Representative Conentration Pathway 8.5. Producer defined rcp2.6 Future GCM simulation using Representative Conentration Pathway 2.6. Producer defined rcp6.0 Future GCM simulation using Representative Conentration Pathway 6.0. Producer defined Modeling Center Name of the Modeling Center that developed the General Circulation Model Producer Defined Commonwealth Scientific and Industrial Research Organization and Bureau of Meteorology, Australia Modeling Center Name Producer defined Beijing Climate Center, China Meteorological Adminstration, China Modeling Center Name Producer defined College of Global Change and Earth System Science, Beijing Normal University, China Modeling Center Name Producer defined National Center for Atmospheric Research, USA Modeling Center Name Producer defined National Oceanic and Atmospheric Administration Gephysical Fluid Dynamics Laboratory, USA Modeling Center Name Producer defined Institut Pierre-Simon Laplace, France Modeling Center Name Producer defined Japan Agency for Marine-Earth Science and Technology, Atmospheric and Ocean Research Institute (The University of Tokyo), and National Institute for Environmental Studies, Japan Modeling Center Name Producer defined Meteorological Research Institute, Japan Modeling Center Name Producer defined Norwegian Climate Centre, Norway Modeling Center Name Producer defined The table1_GCMs_used.csv file provides a list of the General Circulation Models (GCMs) and accompanying Representative Concentration Pathways (RCPs) that were used for the model simulations contained in this data release. The GCM column refers to the model name. The RCP column refers to the available simulations. The Modeling Center column provides information about what entity developed each GCM. LaFontaine, J.H., Riley, J.W., 2023, Model Input and Output for Hydrologic Simulations for the Conterminous United States for Historical and Future Conditions Using the National Hydrologic Model and CMIP5, 1950 - 2100 : U.S. Geological Survey data release, https://doi.org/10.5066/P9EBKREQ GS ScienceBase U.S. Geological Survey mailing address

Denver Federal Center, Building 810, Mail Stop 302

Denver CO 80225 United States 1-888-275-8747 sciencebase@usgs.gov Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Digital Data https://doi.org/10.5066/P9EBKREQ None 20240904 Jacob H LaFontaine U.S. Geological Survey, Southeast Region Hydrologist mailing address

1770 Corporate Drive Suite 500

Norcross GA 30093 United States 678-924-6664 678-924-6710 jlafonta@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998