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The Marshall Automated Wind Algorithm for Geostationary Satellite Wind ApplicationsThe Marshall Automated Wind (MAW) algorithm was developed over a decade ago in support of specialized studies of mesoscale meteorology. In recent years, the algorithm has been generalized to address global climate issues and other specific objectives related to NASA missions. The MAW algorithm uses a tracking scheme which minimizes image brightness temperature differences in a sequence of satellite images to determine feature displacement (winds). With the appropriate methodology accurate satellite derived winds can be obtained from visible, infrared, and water vapor imagery. Typical errors are less than 4 m/s but depend on the quality and control constraints used in post-processing. Key to this success is the judicious use of template size and search area used for tracking, image resolution and time sampling, and selection of appropriate statistical constraints which may vary with image type and desired application. The conference paper and subsequent poster will provide details of the technique and examples of its application.
Document ID
19990099267
Acquisition Source
Marshall Space Flight Center
Document Type
Preprint (Draft being sent to journal)
Authors
Jedlovec, Gary J.
(NASA Marshall Space Flight Center Huntsville, AL United States)
Atkinson, Robert J.
(Lockheed Martin Corp. Huntsville, AL United States)
Date Acquired
August 19, 2013
Publication Date
January 1, 1998
Subject Category
Meteorology And Climatology
Meeting Information
Meeting: Satellite Meteorology and Oceanography
Location: Paris
Country: France
Start Date: May 25, 1998
End Date: May 29, 1998
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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