Divergence Detection in Wind Fields Estimated by an Airport Surveillance Radar

Abstract

A technique is assessed for automatic detection of hazardous divergence in velocity fields estimated by an Airport Surveillance Radar (ASR). A least-squares approach was evaluated to radial divergence estimation through a performance analysis based on simulated data. This approach is compared to an existing decision-based radial shear finding method used for the Terminal Doppler Weather Radar (TDWR). Empirical results derived by the application of the two techniques to data collected at ASR testbeds in Huntsville, Alabama and in Kansas City, Missouri are presented. Results indicate that a simple, least- squares divergence estimator combined with time association logic to increase temporal continuity of algorithm output is an equally effective means of detecting divergent wind shear in velocity fields estimated from ASR signals. (RH)

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Document Details

Document Type
Technical Report
Publication Date
Oct 15, 1990
Accession Number
ADA228653

Entities

People

  • T. A. Noyes

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aircrafts
  • Airport Radar Systems
  • Algorithms
  • Continuity
  • Detection
  • Estimators
  • False Alarms
  • Identification
  • Radar
  • Radial Velocity
  • Stratified Fluids
  • Surveillance Radar
  • Two Dimensional
  • United States
  • Wind
  • Wind Shear
  • Wind Velocity

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Atmospheric Science/Meteorology
  • Mathematics or Statistics