Analysis of the Terminal Doppler Weather Radar Algorithm for Detecting Rotation Associated with Microbursts

Abstract

Rotating winds aloft occurring with downdrafts often are associated with microbursts, which are serious aviation hazards. The Terminal Doppler Weather Radar system detects microbursts and warns pilots of windshear events, partly by its use of rotation as precursors. The role of the rotation region detection algorithm in this system is described, and the improvements to it are analyzed using measured data and simulated rotation regions. The final results show a substantial overall decrease in the number of false detections generated by the algorithm due to adjustment of thresholds and additional logic, while still retaining a good probability of microburst rotation region detection (84 percent). Ideas for future enhancement are explored through techniques such as discriminant analysis and environmental wind filtering.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 1991
Accession Number
ADA242840

Entities

People

  • Valerie C. Coel

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Altitude
  • Cities
  • Data Science
  • Databases
  • Detection
  • Discriminant Analysis
  • Elevation
  • Feature Extraction
  • Image Processing
  • Information Science
  • Meteorological Radar
  • Pattern Recognition
  • Radar
  • Recognition
  • Sites
  • Statistics

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design