Hourly SMS GATE Data

This satellite dataset was prepared for the period covering the GARP Atlantic Tropical Experiment (GATE) in 1974. The raw data are from the first Synchronous Meteorological Satellite (SMS-1), which provided a good distortion-free view of the GATE ship array.

To Access Resource:

Questions? Email Resource Support Contact:

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

Temporal Range

  • Begin:  1974-06
    End:  1974-08

Keywords

Resource Type dataset
Temporal Range Begin 1974-06
Temporal Range End 1974-08
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 Binary
Standardized Resource Format Binary
Asset Size 2634 MB
Legal Constraints

Use of this dataset is subject to UCAR's Terms of Use, except that commercial use is generally not prohibited.


Access Constraints Registration on the RDA web site is a requirement for access to the data.
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 Smith, Eric A.
Vonder Haar, Thomas H.
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1980-11-07
Digital Object Identifier (DOI) https://doi.org/10.5065/2KHG-3619
Alternate Identifier ds712.0
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2021-09-16T14:05:02-07:00
Metadata Record Identifier edu.ucar.rda::ds712.0
Metadata Language eng; USA
Suggested Citation Smith, Eric A., Vonder Haar, Thomas H.. (1980). Hourly SMS GATE Data. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/2KHG-3619. Accessed 07 December 2023.

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