Meteosat-7 Atmospheric Motion Vector Data

This data set contains atmospheric motion vector data derived from Meteosat-7 visible, infrared, and water vapor data. The data covers the Indian Ocean region and includes winds from all vertical levels and over both ocean and land. The data are in a columnar ASCII format and were provided by the Cooperative Institute for Meteorological Satellite Studies (CIMSS).

To Access Resource:

Questions? Email Resource Support Contact:

  • EOL Data Support
    UCAR/NCAR - Earth Observing Laboratory

Temporal Range

  • Begin:  2011-10-01T00:00:00Z
    End:  2012-03-31T23:59:59Z


Resource Type dataset
Temporal Range Begin 2011-10-01T00:00:00Z
Temporal Range End 2012-03-31T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 60.00000
Bounding Box South Lat -60.00000
Bounding Box West Long 5.00000
Bounding Box East Long -120.00000
Spatial Representation grid
Spatial Resolution N/A
Related Links

Documentation #1 : readme_dynamo_m7amv.txt

Additional Information N/A
Resource Format N/A
Standardized Resource Format N/A
Asset Size 2626 MB
Legal Constraints


Access Constraints none
Software Implementation Language N/A

Resource Support Name EOL Data Support
Resource Support Email
Resource Support Organization UCAR/NCAR - Earth Observing Laboratory
Distributor UCAR/NCAR - Earth Observing Laboratory
Metadata Contact Name EOL Data Support
Metadata Contact Email
Metadata Contact Organization UCAR/NCAR - Earth Observing Laboratory

Author Chris Velden
Steve Wanzong
Dave Santek
Dave Stettner
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2012-10-03T22:30:18
Digital Object Identifier (DOI)
Alternate Identifier 347.049
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2023-03-23T22:26:44Z
Metadata Record Identifier edu.ucar.eol::347.049
Metadata Language eng; USA
Suggested Citation Chris Velden, Steve Wanzong, Dave Santek, Dave Stettner. (2012). Meteosat-7 Atmospheric Motion Vector Data. 1.0. UCAR/NCAR - Earth Observing Laboratory. Accessed 29 May 2023.

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