A Study of the Methodology of Low-Altitude Wind Shear Detection with Special Emphasis on the Low Level Wind Shear Alert System Concept.

Abstract

This basic principles study of the Low Level Wind Shear Alert System (LLWAS) addresses the question of the degree to which a change of algorithm and network geometry can improve the performance of an anemometer-based wind shear detection system to an acceptable level. The performance of the current system seems to be deficient in that it is ineffective for the detection of microburst and tha it issues many alarms in situations where pilots do not experience hazardous wind shear. The theoretical basis for this investigation is simulation testing. This process involves testing each combination of algorithm and geometry against a realistic mathematiclly generated weather model that includes wind shear events. The binary time series of (event/no event) and (detection/no detection) are computed and the systems that exhibit the best skill are determined. The systems that have the best skills have high probabilities of detection and low probabilities of false alarms. Keywords: Wind Field Divergence; Gust Front; Simulation Testing; Probability of Detection; False Alarm Ratio; Total Skill Score.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1986
Accession Number
ADA164939

Entities

People

  • F. W. Wilson Jr.
  • John A. Flueck

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Anomaly Detection
  • Cartesian Coordinates
  • Change Detection
  • Computational Science
  • Computers
  • Detection
  • Detectors
  • Differential Equations
  • False Alarms
  • Geometry
  • Mathematical Models
  • Surveys
  • Time Intervals
  • Two Dimensional
  • Virtual Reality
  • Warning Systems
  • Wind Velocity

Readers

  • Atmospheric Science/Meteorology
  • Radar Systems Engineering.
  • Systems Analysis and Design