edu.ucar.gdex::d010078 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 2026-04-19T13:56:33Z ISO 19115 Geographic Information - Metadata ISO19115:2003/Cor 1 2006 https://doi.org/10.5065/D6TH8JR2 Gridded Ensemble Precipitation and Temperature Estimates over the Contiguous United States Version 2.0 d010078 2015-01-01 publication Newman, Andrew J. author Clark, Martyn P. author Craig, Jason author Nijssen, Bart author Wood, Andrew W. author Gutmann, Ethan D. author Mizukami, Naoki author Brekke, Levi D. author Arnold, Jeffrey R. author NSF National Center for Atmospheric Research publisher Gridded precipitation and temperature products are inherently uncertain due to myriad factors, including interpolation from a sparse observation network, measurement representativeness, and measurement errors. Generally uncertainty is not explicitly accounted for in gridded products of precipitation or temperature; if it is represented, it is often included in an ad-hoc manner. A lack of quantitative uncertainty estimates for hydrometeorological forcing fields limits the application of advanced data assimilation systems and other analysis tools in land-surface and hydrologic modeling. This study develops a gridded, observation-based ensemble of precipitation and temperature at a daily increment for the period 1980-2012. This allows for the estimation of precipitation and temperature uncertainty in hydrologic modeling and data assimilation through the use of the ensemble variance. Statistical verification of the ensemble indicates that it has generally good reliability and discrimination of events of various magnitudes, but has a slight wet bias for high threshold events (greater than 50 mm). The ensemble mean is similar to another widely used hydrometeorological dataset but with some important differences. The ensemble product produces more realistic occurrence of precipitation statistics (wet day fraction), which impacts the empirical derivation of other fields used in land-surface and hydrologic modeling. Elevation lapse rates for temperature are derived directly from the observations, resulting in higher winter temperatures at high elevations in the intermountain western US. completed datahelp@ucar.edu pointOfContact notPlanned dataset https://gdex.ucar.edu/images/ds_logos/default_200_200.png Logo thumbnail from URL png HDF5/NetCDF4 dataset Resource Type 2021-03-30 revision 4.4 DataCite Metadata Working Group orginator resourceTypeGeneral MODELS > MODELS U.S. National Aeronautics and Space Administration Global Change Master Directory GCMD 2026-06-10 revision 24.1 NASA Global Change Master Directory orginator Valids List: Platforms EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION RATE EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION U.S. National Aeronautics and Space Administration Global Change Master Directory GCMD 2026-06-10 revision 24.1 NASA Global Change Master Directory orginator Valids List: Science and Services Keywords Creative Commons Attribution 4.0 International License None eng utf-8 climatologyMeteorologyAtmosphere 1980 2012 NSF NCAR Geoscience Data Exchange datahelp@ucar.edu https://gdex.ucar.edu distributor 1019370.84 https://gdex.ucar.edu/datasets/d010078/ https Dataset Description Related Link information https://gdex.ucar.edu/datasets/d010078/dataaccess/ https Data Access Related Link download none asNeeded