ECMWF TOGA Global Supplementary Fields, 1985-2010

This dataset contains supplementary output grids from the ECMWF operational model. These grids are on a gaussian grid (N80) with approximately a 1.125 degree resolution.

To Access Resource:

Questions? Email Resource Support Contact:

  • Dave Stepaniak
    davestep@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  1985-01-01T00:00:00Z
    End:  2011-01-02T00:00:00Z

Keywords

Resource Type dataset
Temporal Range Begin 1985-01-01T00:00:00Z
Temporal Range End 2011-01-02T00:00:00Z
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 45676 MB
Legal Constraints

Creative Commons Attribution 4.0 International License


Access Constraints None
Software Implementation Language N/A

Resource Support Name Dave Stepaniak
Resource Support Email davestep@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 1991-01-16
Digital Object Identifier (DOI) https://doi.org/10.5065/F3AJ-C971
Alternate Identifier d111003
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-08-04T02:10:27Z
Metadata Record Identifier edu.ucar.rda::d111003
Metadata Language eng; USA
Suggested Citation European Centre for Medium-Range Weather Forecasts. (1991). ECMWF TOGA Global Supplementary Fields, 1985-2010. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/F3AJ-C971. Accessed 21 November 2024.

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