Automatic Recognition of Mesocyclones from Single Doppler Radar Data.

Abstract

An algorithm to automatically detect mesocyclonic shear from radial velocity data of a Doppler radar is developed. The algorithm searches for azimuthally increasing velocities. Runs of increasing velocities are stored and the resulting shears are compared to mesocyclonic shear thresholds. Also, products of velocity differences are multiplied with the corresponding arc lengths and then compared to momentum thresholds. Those runs that pass a set of such thresholds and are spatially close are identified as belonging to a region of mesocyclonic shears or a shear line. The algorithm requires simultaneous storage and operation on two consecutive radials of data, and thus is suitable for real time implementation. Flow charts and performance on two data sets are presented.

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Document Details

Document Type
Technical Report
Publication Date
Oct 07, 1982
Accession Number
ADA125854

Entities

People

  • Dusan S. Zrnic'
  • Julie Skelton
  • Larry D. Hennington

Organizations

  • National Oceanic and Atmospheric Administration

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Angular Momentum
  • Boundaries
  • Correlation Techniques
  • Data Sets
  • Detection
  • Doppler Radar
  • Elevation
  • Momentum
  • Pattern Recognition
  • Preprocessing
  • Radar
  • Radial Velocity
  • Recognition
  • Stratified Fluids
  • Two Dimensional

Fields of Study

  • Environmental science

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Atmospheric Science/Meteorology
  • Plasma Physics / Magnetohydrodynamics