ECMWF TOGA 2.5 degree Global Surface and Upper Air Analyses

This dataset contains 2.5 degree latitude-longitude output grids from the ECMWF operational model. Both upper air and surface grids are archived in this dataset.

To Access Resource:

Questions? Email Resource Support Contact:

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

Temporal Range

  • Begin:  1985-01-01T00:00:00Z
    End:  2015-10-31T12:00:00Z

Keywords

Resource Type dataset
Temporal Range Begin 1985-01-01T00:00:00Z
Temporal Range End 2015-10-31T12:00:00Z
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

Related Resource #1 : ECMWF Web Site
Additional Information N/A
Resource Format WMO_GRIB0 (Binary)
WMO_GRIB1 (Binary)
Standardized Resource Format GRIB
Asset Size 58789 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 European Centre for Medium-Range Weather Forecasts
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1990-12-28
Digital Object Identifier (DOI) https://doi.org/10.5065/YA3G-SE76
Alternate Identifier d111002
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-08-04T02:11:58Z
Metadata Record Identifier edu.ucar.rda::d111002
Metadata Language eng; USA
Suggested Citation European Centre for Medium-Range Weather Forecasts. (1990). ECMWF TOGA 2.5 degree Global Surface and Upper Air Analyses. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/YA3G-SE76. Accessed 22 November 2024.

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