Krishnamurti's GATE Tropical 300mb, 250mb, and 200mb Wind

This dataset contains 100 days of tropical wind analyses for the 300mb, 250mb, and 200mb levels. These analyses were provided by T.N. Krishnamurti at Florida State University. The u- and v-components of the wind are contained in a 2.5-degree grid covering the tropical globe.

To Access Resource:

Questions? Email Resource Support Contact:

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

Temporal Range

  • Begin:  1974-06-16
    End:  1974-09-23

Keywords

Resource Type dataset
Temporal Range Begin 1974-06-16
Temporal Range End 1974-09-23
Temporal Resolution N/A
Bounding Box North Lat 45
Bounding Box South Lat -25
Bounding Box West Long -180
Bounding Box East Long 180
Spatial Representation grid
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format Binary
Standardized Resource Format Binary
Asset Size 10.00 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 Meteorology Department, Florida State University
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1981-07-10
Digital Object Identifier (DOI) https://doi.org/10.5065/V5AH-ZD82
Alternate Identifier d302001
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-08-04T02:10:55Z
Metadata Record Identifier edu.ucar.rda::d302001
Metadata Language eng; USA
Suggested Citation Meteorology Department, Florida State University. (1981). Krishnamurti's GATE Tropical 300mb, 250mb, and 200mb Wind. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/V5AH-ZD82. Accessed 27 November 2024.

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