MERRA2 Global Forcing data for CESM2 Applications

Atmospheric Forcing data, regridded from the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA2) data and are both horizontally and vertically interpolated to the CESM2 standard 32 vertical model levels.

To Access Resource:

Questions? Email Resource Support Contact:

  • Chi-Fan Shih
    chifan@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  1990-01-01T00:00:00Z
    End:  2022-12-31T21:00:00Z

Keywords

Resource Type dataset
Temporal Range Begin 1990-01-01T00:00:00Z
Temporal Range End 2022-12-31T21:00:00Z
Temporal Resolution N/A
Bounding Box North Lat 90
Bounding Box South Lat -90
Bounding Box West Long -180
Bounding Box East Long 180
Spatial Representation grid
Spatial Resolution 1.25 degree
Related Links N/A
Additional Information N/A
Resource Format NetCDF (Binary)
Standardized Resource Format NetCDF
Asset Size 0.00 MB
Legal Constraints

Creative Commons Attribution 4.0 International License
Access Constraints None
Software Implementation Language N/A

Resource Support Name Chi-Fan Shih
Resource Support Email chifan@ucar.edu
Resource Support Organization UCAR/NCAR - Research Data Archive
Distributor NCAR Research Data Archive
Metadata Contact Name N/A
Metadata Contact Email rdahelp@ucar.edu
Metadata Contact Organization NCAR Research Data Archive

Author Tilmes, Simone
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 2022-03-28
Digital Object Identifier (DOI) https://doi.org/10.5065/H9NM-XC59
Alternate Identifier d313002
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress onGoing
Metadata Date 2024-08-04T02:10:56Z
Metadata Record Identifier edu.ucar.rda::d313002
Metadata Language eng; USA
Suggested Citation Tilmes, Simone. (2022). MERRA2 Global Forcing data for CESM2 Applications. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/H9NM-XC59. Accessed 07 November 2024.

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