Automated Cell Detection as a Mesocyclone Precursor Tool.

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. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 05, 1984
Accession Number
ADA154952

Entities

People

  • F. I. Harris
  • P. J. Petrocchi

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Algorithms
  • Atmospheric Sciences
  • Case Studies
  • Classification
  • Climate Change
  • Data Acquisition
  • Detection
  • Detectors
  • Doppler Radar
  • Indicators
  • Meteorological Radar
  • Observation
  • Reflectivity
  • Security
  • Two Dimensional

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Systems Analysis and Design