Gridded Sub-daily Climate Forcings for North America Based on Daymet and GSWP3 (Daymet-GSWP3)

10.13139/OLCF/2373121

To support high spatial and temporal resolution land surface modeling, this dataset provides 3-hourly time step historic weather forcing at 1-km spatial resolution for the entire North America. The latest Daymet V4 data provides gridded historic daily weather observations at 1-km spatial resolution from 1980 to 2014. Using sub-daily temporal information from the Global Soil Wetness Project Phase 3 (GSWP3), Daymet was further temporally downscaled to 3-hourly time steps and provided in the format required for land surface model simulations. The process of temporal downscaling preserves the relative magnitude in each sub-daily time step from GSWP3 while maintaining the total and average values from Daymet for each day. This results in a blended 1980-2014 Daymet-GSWP3 dataset. Available variables include surface air temperature, precipitation, specific humidity, shortwave and longwave radiation, wind speed, and pressure. These data can be used as a high-resolution meteorological forcing dataset to support high-resolution land surface modeling where accurate meteorological forcing datasets built from historic observations and/or reanalysis datasets are desirable.

Published: 2024-06-20 15:02:54 Download Dataset

Dataset Properties

Field Value
Authors
  • Kao, Shih-Chieh Oak Ridge National Laboratory
  • Thornton, Michele Oak Ridge National Laboratory
  • Thornton, Peter E. Oak Ridge National Laboratory
  • Shrestha, Rupesh Oak Ridge National Laboratory
Project Identifier CLI144
Dataset Type ND Numeric Data
Subjects
  • 54 ENVIRONMENTAL SCIENCES
  • 58 GEOSCIENCES
  • 97 MATHEMATICS AND COMPUTING
Keywords
  • Daymet
  • GSWP3
  • Earth System Modeling
  • Subdaily Forcings
  • Surface Weather
Software Needed Any type of NetCDF readers.
Originating Organizations Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organizations Office of Science (SC), Biological and Environmental Research (BER) (SC-23);DOE Biological and Environmental Research Program Energy Exascale Earth System Modeling Program
DOE Contract DE-AC05-00OR22725

Acknowledgements

Papers using this dataset are requested to include the following text in their acknowledgements:

*Support for 10.13139/OLCF/2373121 is provided by the U.S. Department of Energy, project CLI144 under Contract DE-AC05-00OR22725. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility.