edu.ucar.gdex::d619000 eng; USA utf-8 dataset NSF NCAR Geoscience Data Exchange datahelp@ucar.edu https://gdex.ucar.edu NSF NCAR Geoscience Data Exchange The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research. download pointOfContact 2026-04-21T20:46:53Z ISO 19115 Geographic Information - Metadata ISO19115:2003/Cor 1 2006 https://doi.org/10.5065/5W7W-5224 GARD-LENS: A downscaled large ensemble dataset for understanding the future climate and its uncertainties d619000 2024-07-12 publication Hartke, Samantha H. author Newman, Andrew J. author Gutmann, Ethan D. author McCrary, Rachel author Lybarger, Nicholas D. author Lehner, Flavio author NSF National Center for Atmospheric Research publisher The Generalized Analog Regression Downscaling method Large Ensemble (GARD-LENS) dataset is comprised of daily precipitation, mean temperature, and temperature range over the Contiguous U.S., Alaska, and Hawaii at 12 km, 4 km, and 1 km resolutions, respectively. GARD-LENS downscales three CMIP6 global climate model large ensembles, CESM2, CanESM5, and EC-Earth3, totaling 200 ensemble members. GARD-LENS is the first downscaled SMILE (single model initial-condition large ensemble), providing information about the role of internal climate variability at high resolutions. GARD LENS uses GMET as a training dataset for the period 1980-2014, although Hawaii GMET data is only available for 1990-2014. The total dataset consists of 200 ensemble member files per region per variable (e.g., 200 files for t_mean for CONUS), for a total of 1800 files and a total dataset size of roughly 12 TB. The 150-year record of this large ensemble dataset provides ample data for assessing trends and extremes and allows users to robustly assess internal variability, forced climate signals, and time of emergence at high resolutions. As the need for high resolution, robust climate datasets continues to grow, GARD-LENS will be a valuable tool for scientists and practitioners who wish to account for internal variability in their future climate analyses and adaptation plans. completed datahelp@ucar.edu pointOfContact notPlanned dataset https://gdex.ucar.edu/images/ds_logos/default_200_200.png Logo thumbnail from URL png NetCDF dataset Resource Type 2021-03-30 revision 4.4 DataCite Metadata Working Group orginator resourceTypeGeneral CESM > NCAR Community Earth System Model U.S. National Aeronautics and Space Administration Global Change Master Directory GCMD 2026-04-15 revision 23.7 NASA Global Change Master Directory orginator Valids List: Platforms EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION AMOUNT U.S. National Aeronautics and Space Administration Global Change Master Directory GCMD 2026-04-15 revision 23.7 NASA Global Change Master Directory orginator Valids List: Science and Services Keywords Creative Commons Attribution 4.0 International License None eng utf-8 climatologyMeteorologyAtmosphere 1950 2100 NSF NCAR Geoscience Data Exchange datahelp@ucar.edu https://gdex.ucar.edu distributor 12078343.43 https://gdex.ucar.edu/datasets/d619000/ https Dataset Description Related Link information https://gdex.ucar.edu/datasets/d619000/dataaccess/ https Data Access Related Link download none asNeeded