This DATSETNAMEreadme.txt file was generated on 2024-02-24 by Shih-Chieh Kao GENERAL INFORMATION 1. Title of Dataset: CMIP6-based Multi-model Hydroclimate Projection over the Conterminous US, Version 1.1 2. Author Information A. Principal Investigator Contact Information Name: Shih-Chieh Kao Institution: Oak Ridge National Laboratory Address: PO Box 2008 MS 6038, Oak Ridge, TN 37831-6038 Email: kaos@ornl.gov B. Associate or Co-investigator Contact Information Name: Deeksha Rastogi Institution: Oak Ridge National Laboratory Address: PO Box 2008 MS 6085, Oak Ridge, TN 37831-6085 Email: rastogid@ornl.gov C. Alternate Contact Information Name: Sudershan Gangrade Institution: Oak Ridge National Laboratory Address: PO Box 2008 MS 6038, Oak Ridge, TN 37831-6038 Email: gangrades@ornl.gov 3. Date of data collection (single date, range, approximate date) : 2022-09-30 4. Geographic location of data collection : Conterminous United States (125W–66.5W, 24N–53N) 5. Information about funding sources that supported the collection of the data: This dataset is derived to support the SECURE Water Act Section 9505 Assessment for the US Department of Energy (DOE) Water Power Technologies Office (WPTO). SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: Open to share. No restriction. 2. Links to publications that cite or use the data: Kao, S.-C., M. Ashfaq, D. Rastogi, S. Gangrade, R. Uría Martínez, A. Fernandez, G. Konapala, N. Voisin, T. Zhou, W. Xu, H. Gao, B. Zhao, and G. Zhao (2022), The Third Assessment of the Effects of Climate Change on Federal Hydropower, ORNL/TM-2021/2278, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.2172/1887712. Rastogi, D., S.-C. Kao, and M. Ashfaq (2022), How May the Choice of Downscaling Techniques and Meteorological Reference Observations Affect Future Hydroclimate Projections?, Earth's Future, 10(8), e2022EF002734, https://doi.org/10.1029/2022EF002734. 3. Links to other publicly accessible locations of the data: (Only a subset) Kao, S.-C., M. Ashfaq, D. Rastogi, and S. Gangrade (2022), CMIP6-Based Multi-Model Hydroclimate Projection over the Conterminous US, HydroSource, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.21951/SWA9505V3/1887469. 4. Links/relationships to ancillary data sets: This project uses a variety of ancillary data sets. The details are referred to Kao et al. (2022), https://doi.org/10.2172/1887712 5. Was data derived from another source? yes/no A. If yes, list source(s): Yes, this project uses a variety of external data (climate, land surface, hydrology). The details are referred to Kao et al. (2022), https://doi.org/10.2172/1887712 6. Recommended citation for this dataset: Kao, S.-C., M. Ashfaq, D. Rastogi, S. Gangrade, R. Uría Martínez, A. Fernandez, G. Konapala, N. Voisin, T. Zhou, W. Xu, H. Gao, B. Zhao, and G. Zhao (2022), The Third Assessment of the Effects of Climate Change on Federal Hydropower, ORNL/TM-2021/2278, Oak Ridge National Laboratory, Oak Ridge, TN, https://doi.org/10.2172/1887712. DATA & FILE OVERVIEW 1. File List: The majority of data are in daily temporal resolution, provided in a general format.: [Simulation Name]/[Variable Name]/[File Name] [Simulation Name] Simulations [DaymetV4] and [Livneh] are driven by historical Daymet and Livneh observations. Other simulation names are a combination of [GCM Name][SSP Scenarios][Ensemble ID][Downscaling Method][Reference Meteorological Observations]. [GCM Name] This includes the following CMIP6 GCMs: ACCESS-CM2 BCC-CSM2-MR CNRM-ESM2-1 EC-Earth3 MPI-ESM1-2-HR MRI-ESM2-0 NorESM2-MM [SSP Scenarios] This includes the following emission scenarios: ssp585 ssp370 ssp245 ssp126 [Ensemble ID] This is the unique CMIP6 ensemble ID of each GCM simualtion [Downscaling Method] This includes the following downscaling methods: DBCCA RegCM [Reference Meteorological Observations] This includes the following reference meteorological observations: Daymet Livneh [Variable Name] This includes the following variables: Field Name Units Description prcp mm/day precipitation tmax deg C daily maximum temperature tmin deg C daily minimum temperature wind m/s wind speed srad W/m2 shortwave radiation (estimated by VIC-MetClim) lrad W/m2 longwave radiation (estimated by VIC-MetClim) qair kg/kg specific humidity (estimated by VIC-MetClim) rhum % relative humidity (estimated by VIC-MetClim) vp Pa near surface vapor pressure (estimated by VIC-MetClim) vpd Pa near surface vapor pressure deficit (estimated by VIC-MetClim) pres Pa near surface atmospheric pressure (estimated by VIC-MetClim) runoff mm/day total runoff (baseflow + surface runoff) (estimated by VIC) runoffs mm/day surface runoff (estimated by VIC) runoffb mm/day baseflow (estimated by VIC) swe mm snow water equivalent (estimated by VIC) evap mm/day evapotranspiration (estimated by VIC) pet mm/day potential evaporation (estimated by VIC) soilm mm soil moisture (estimated by VIC) PRMS_runoff mm/day total runoff (baseflow + surface runoff) (estimated by PRMS) PRMS_runoffs mm/day surface runoff (estimated by PRMS) PRMS_runoffb mm/day baseflow (estimated by PRMS) PRMS_swe mm snow water equivalent (estimated by PRMS) PRMS_evap mm/day evapotranspiration (estimated by PRMS) PRMS_pet mm/day potential evaporation (estimated by PRMS) PRMS_soilm mm soil moisture (estimated by PRMS) [File Name] This includes [Simulation Name], [Variable Name], and [Year] from 1950-2099. Files with a single year number contain data at daily resolution. Files with a range of years (e.g., 1980_2019) are temporally averaged/aggregated data, either at monthly or annual time scales. In addition to gridded data, spatially aggregated data are provided in the HUC_Summary and County_Summary folders. HUC_Summary provides summaries at 2-, 4-, 6-, and 8-digit US Hydrologic Unit Code watersheds (HUC02, HUC04, HUC06, HUC08). County_Summary provides summaries at both county and state levels, labeled by the FIPS code. Shapefiles used as the basis of this analysis are also included. 2. Relationship between files, if important: NA 3. Additional related data collected that was not included in the current data package: NA 4. Are there multiple versions of the dataset? yes/no A. If yes, name of file(s) that was updated: i. Why was the file updated? ii. When was the file updated? NA METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: See Kao et al. (2022), https://doi.org/10.2172/1887712 2. Methods for processing the data: See Kao et al. (2022), https://doi.org/10.2172/1887712 3. Instrument- or software-specific information needed to interpret the data: All files are in NetCDF formats. Need to use any form of NetCDF readers to access the data. 4. Standards and calibration information, if appropriate: See Kao et al. (2022), https://doi.org/10.2172/1887712 5. Environmental/experimental conditions: NA 6. Describe any quality-assurance procedures performed on the data: See Kao et al. (2022), https://doi.org/10.2172/1887712 7. People involved with sample collection, processing, analysis and/or submission: NA DATA-SPECIFIC INFORMATION FOR: ACCESS-CM2_ssp585_r1i1p1f1_DBCCA_Daymet_VIC4_prcp_1980 (example) 1. Number of variables: 4 2. Number of cases/rows: dimensions: time = UNLIMITED ; // (365 currently) lon = 1405 ; lat = 697 ; 3. Variable List: double time(time) ; time:units = "days since 1980-01-01" ; time:calendar = "standard" ; time:long_name = "day" ; time:standard_name = "time" ; double lon(lon) ; lon:units = "degrees_east" ; lon:long_name = "longitude coordinate" ; lon:standard_name = "longitude" ; double lat(lat) ; lat:units = "degrees_north" ; lat:long_name = "latitude coordinate" ; lat:standard_name = "latitude" ; float prcp(time, lat, lon) ; prcp:long_name = "daily total precipitation" ; prcp:units = "mm/day" ; 4. Missing data codes: NA 5. Specialized formats or other abbreviations used: NetCDF