TOGA COARE Large Scale Atmospheric Data

This dataset contains synoptic surface and upper air data and satellite images obtained during TOGA COARE. For other TOGA COARE data archives, see the UCAR/EOL TOGA COARE Project Page [], which contains a link to other archives.

To Access Resource:

Questions? Email Resource Support Contact:

  • Zaihua Ji
    zji@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  1993-02-15T22:26:00Z
    End:  1993-02-15T22:26:00Z

Keywords

Resource Type dataset
Temporal Range Begin 1993-02-15T22:26:00Z
Temporal Range End 1993-02-15T22:26:00Z
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 McIDAS (Binary)
Standardized Resource Format Binary
Asset Size 377.00 MB
Legal Constraints

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

Resource Support Name Zaihua Ji
Resource Support Email zji@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 TOGA COARE Data Information System, NESDIS, NOAA, U.S. Department of Commerce
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1996-08-23
Digital Object Identifier (DOI) https://doi.org/10.5065/QM9W-XP57
Alternate Identifier d606002
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-08-04T02:11:18Z
Metadata Record Identifier edu.ucar.rda::d606002
Metadata Language eng; USA
Suggested Citation TOGA COARE Data Information System, NESDIS, NOAA, U.S. Department of Commerce. (1996). TOGA COARE Large Scale Atmospheric Data. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/QM9W-XP57. Accessed 31 August 2024.

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