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Automated cell detection as a mesocyclone precursor tool

Author: F Ian Harris; Pio J Petrocchi; U.S. Air Force Geophysics Laboratory. Atmospheric Sciences Division.
Publisher: Hanscom AFB, Massachusetts : Air Force Geophysics Laboratory, Air Force Systems Command, United States Air Force, 1984.
Series: AFGL-TR, 84-266.; Environmental research papers (Hanscom AFB, Mass.), no. 891.
Edition/Format:   Print book : National government publication : EnglishView all editions and formats
Summary:
Automated cell detection in radar observations of convective storm complexes has been explored as a severe storm indicator. Six-dB peaks were detected in the radar reflectivity fields and their characteristics were monitored as a function of time. It was found in a severe tornadic storm that the number of cells and the average intensity of the cells had trends that appear to be characteristic of super-cell storms  Read more...
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Material Type: Government publication, National government publication
Document Type: Book
All Authors / Contributors: F Ian Harris; Pio J Petrocchi; U.S. Air Force Geophysics Laboratory. Atmospheric Sciences Division.
OCLC Number: 12698285
Notes: Distributed to depository libraries in microfiche.
"5 October 1984."
Description: vii, 24 pages : illustrations ; 28 cm.
Series Title: AFGL-TR, 84-266.; Environmental research papers (Hanscom AFB, Mass.), no. 891.
Other Titles: Technical Report Archive & Image Library (TRAIL)
Responsibility: F. Ian Harris, Pio J. Petrocchi.

Abstract:

Automated cell detection in radar observations of convective storm complexes has been explored as a severe storm indicator. Six-dB peaks were detected in the radar reflectivity fields and their characteristics were monitored as a function of time. It was found in a severe tornadic storm that the number of cells and the average intensity of the cells had trends that appear to be characteristic of super-cell storms with these trends being identifiable at least 45 min before the touchdown of the first tornado and 90 min before the touchdown of a maxi tornado. None of these trends could be detected in a storm system that produced only a funnel cloud. This second storm did produce a tornado vortex signature. It would appear that the peak detection algorithm has the potential of extending the warning period for severe weather associated with super-cell and for indicating the potential of extremely severe weather. Testing has been limited and therefore these results must be considered somewhat tentative.

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