Sub-Cloud Layer Motions from Radar Data Using Correlation Techniques.

Abstract

Acquisition of a new system of Doppler weather radars (NEXRAD, Next Generation Weather Radar) will necessitate availability of appropriate automated weather analysis algorithms. In this report one such algorithm for obtaining small-scale motions from radar data by pattern recognition is evaluated. Two variations that correlate reflectivity data from scan to scan, one of which utilizes Doppler velocities, are applied to data of tow intense thunderstorms. From theses analyses it is found that resolution typical of most weather radars is too coarse to allow consistently reliable reconstruction of motions with temporal lags short enough to preclude discernible effects of propagation. Additional keywords: Wind estimation algorithm; Oklahoma; Colorado. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 15, 1984
Accession Number
ADA156477

Entities

People

  • F. I. Harris
  • G. R. Smythe

Tags

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Atmospheric Motion
  • Cartesian Coordinates
  • Coefficients
  • Colorado
  • Correlation Techniques
  • Data Science
  • Displacement
  • Doppler Radar
  • Elevation
  • Meteorological Radar
  • Oklahoma
  • Pattern Recognition
  • Radial Velocity
  • Recognition
  • United States

Fields of Study

  • Environmental science

Readers

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

Technology Areas

  • AI & ML