Automatic Detection of Hail by Radar.

Abstract

An automated model algorithm for identifying hailstorms by radar is described. Hailstorms are identified by totaling seven weighted indicators based on a three-dimensional reflectivity structure of an ideal hailstorm. The weighting functions for each indicator and the total identifying the storms were determined by testing the algorithm with radar data that were verified by ground truth data. By use of these findings, the probability of detecting hail is 94 percent with a false alarm ratio of 6 percent for a critical success index (CSI) = 0.886 for this test sample. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 29, 1982
Accession Number
ADA130078

Entities

People

  • Pio J. Petrocchi

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Air Force Personnel
  • Algorithms
  • Data Acquisition
  • Detection
  • Elevation
  • False Alarms
  • Indicators
  • Observation
  • Observers
  • Probability
  • Reflectivity
  • Security
  • Three Dimensional
  • Warning Systems
  • Weighting Functions

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Regression Analysis.