GEOS5 Global Atmosphere Forcing Data

GEOS5 Atmospheric Forcing data, regridded and prepared as meteorological variables to run CESM and WRF simulations.

To Access Resource:

Questions? Email Resource Support Contact:

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

Temporal Range

  • Begin:  2004-01-02T00:00:00Z
    End:  2024-04-15T21:00:00Z

Keywords

Resource Type dataset
Temporal Range Begin 2004-01-02T00:00:00Z
Temporal Range End 2024-04-15T21:00:00Z
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format NetCDF (Binary)
NetCDF4 (Binary)
Standardized Resource Format NetCDF
Asset Size 34021958 MB
Legal Constraints

Use of this dataset is subject to UCAR's Terms of Use, except that commercial use is generally not prohibited.


Access Constraints Registration on the RDA web site is a requirement for access to the data.
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 2016-11-14
Digital Object Identifier (DOI) https://doi.org/10.5065/QTSA-G775
Alternate Identifier ds313.0
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress onGoing
Metadata Date 2024-04-17T12:05:02-07:00
Metadata Record Identifier edu.ucar.rda::ds313.0
Metadata Language eng; USA
Suggested Citation Tilmes, Simone. (2016). GEOS5 Global Atmosphere Forcing Data. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/QTSA-G775. Accessed 17 April 2024.

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