Tornado Identification from Analyses of Digital Radar Data.

Abstract

An investigation was conducted to determine whether tornadoes presented a unique signature in analyses of digital radar data from central Oklahoma during the Spring. The data were collected by the 10-cm-WSR-57 radar at the National Severe Storms Laboratory at Norman, Oklahoma. Three types of numerical analyses were used in this study: constant-altitude reflectivity maps (CAZM), total vertically-summed reflectivity maps (TVSZ), and partial vertically-summed reflectivity maps (PVSZ), with greatest emphasis placed on the PVSZ maps. Presentations covering a 100-km square were constructed at either 5 to 10 min intervals. From the analysis of three case studies during during 1974 and 1975, that contained five tornadoes, it was concluded that tornadoes did not produce a singular identifying signature in analyses of digital radar data, but rather produced a combination of features which indicated, with a high probability, the presnce of a tornado. Such features were the appearance of a small area of reduced reflectivity known as a Bounded Weak-Echo Region (BWER), a tilt of the core of the storm toward the BWER, and a rapid decrease in the upper-level mass of the storm as indicated by a rapid decrease in the reflectivity of the upper PVSZ.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1976
Accession Number
ADA047816

Entities

People

  • Donald Wayne Pittman

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • C4I
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Altitude
  • Artificial Satellites
  • Calibration
  • Climate Change
  • Computers
  • Data Processing
  • Elevation
  • Language
  • Magnetic Tape
  • Meteorological Radar
  • Meteorology
  • Radar
  • Standards
  • Storms
  • United States

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computer Vision.
  • Optical Fiber Sensing and Electromagnetic Propagation.