NMC Tropical Analyses, daily 1968-1985

Analyses since January 1983 were merely interpolated by NMC from the Global Analyses in DS082.0 [http://rda.ucar.edu/datasets/ds082.0/]

To Access Resource:

Questions? Email Resource Support Contact:

  • Bob Dattore
    dattore@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  1968-01
    End:  1990-03

Keywords

Resource Type dataset
Temporal Range Begin 1968-01
Temporal Range End 1990-03
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 grid
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format DSS Tropical Grid (Binary)
Standardized Resource Format Binary
Asset Size 643.00 MB
Legal Constraints

Creative Commons Attribution 4.0 International License


Access Constraints None
Software Implementation Language N/A

Resource Support Name Bob Dattore
Resource Support Email dattore@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 National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1980-01-11
Digital Object Identifier (DOI) https://doi.org/10.5065/20HS-X596
Alternate Identifier d075000
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-08-04T02:10:22Z
Metadata Record Identifier edu.ucar.rda::d075000
Metadata Language eng; USA
Suggested Citation National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce. (1980). NMC Tropical Analyses, daily 1968-1985. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/20HS-X596. Accessed 24 November 2024.

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