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This DOI is obsoleted by 10.13139/OLCF/2373121.

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

  • 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
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Overview

Description

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.

Funding resources

DOE contract number

DE-AC05-00OR22725

Originating research organization

Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring organization

Office of Science (SC) Biological and Environmental Research (BER) (SC-23);DOE Biological and Environmental Research Program Energy Exascale Earth System Modeling Program

Related resources

Details

DOI

10.13139/OLCF/2331286

Release date

May 13, 2024

Dataset

Dataset type

ND Numeric Data

Software

Any type of NetCDF readers.

Acknowledgements

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

*Support for 10.13139/OLCF/2331286 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.

Category

  • 54 ENVIRONMENTAL SCIENCES,
  • 58 GEOSCIENCES,
  • 97 MATHEMATICS AND COMPUTING

Keywords

  • Daymet,
  • GSWP3,
  • Earth System Modeling,
  • Subdaily Forcings,
  • Surface Weather