Real-Time Automated Detection of Mesocyclones and Tornado Vortex Signatures.

Abstract

An algorithm incorporating resolution-dependent shear and velocity thresholds for the detection of mesocyclones and tornado vortex signatures in real-time is presented. The algorithm identifies both cyclonic and anti-cyclonic shear areas, and characterizes them into six categories. Also, the three-dimensional average of each feature's rotational kinetic energy, momentum and horizontal and vertical extent are computed. Algorithm performance is discussed for four case studies. The results, verified by ground observations and output from the Tornado Vortex Signature algorithm, are very encouraging. Originator supplied keywords: Doppler radar; Mesocyclone; Tornado vortex signature; Shear threshold Angular momentum; Resolution dependence; Rotational kinetic energy.

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Document Details

Document Type
Technical Report
Publication Date
Oct 20, 1984
Accession Number
ADA154968

Entities

People

  • J. G. Wieler

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Case Studies
  • Classification
  • Data Analysis
  • Detection
  • Doppler Radar
  • Energy
  • Identification
  • Kinetic Energy
  • Lead Time
  • Meteorological Radar
  • Meteorology
  • Momentum
  • Radar
  • Recognition
  • Three Dimensional
  • Word Processors

Readers

  • Atmospheric Science/Meteorology
  • Molecular Photonics/Laser Physics
  • Sensor Fusion and Tracking Systems.