Evaluation of Objective Parameters Derived from Concentric Cloud Patterns.

Abstract

This study tests previously developed techniques for monitoring the intensity, location, and rotation of cyclonic storms from digital satellite cloud patterns for a sample of 83 tropical and 59 extra-tropical cyclone images. The computer programs are designed to produce a normalized distribution of centers of curvature for concentric clouds bands surrounding a storm. The location of the maximum of this distribution is used as a measure of storm position. The horizontally integrated magnitude of the distribution is used as a measure of storm intensity, and the major axis of the distribution is used as a reference line to measure storm rotation. The most promising application of these objective techniques is for analyzing the intensity and rotation of tropical storms. The results described in this report are based on DMSP film images of tropical storms which were then digitized. There are problems in calibrating the various types of infrared images in terms of temperature. The regression coefficients used in the storm intensity model and the threshold value to temperature used in defining percentage cloudiness may not be applicable to another data set. A technique to calibrate IR brightness between satellites, perhaps based on sea surface temperature, should be developed. Keywords: Image processing; Cloud cover; Atmosphere models.

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Document Details

Document Type
Technical Report
Publication Date
Jun 30, 1977
Accession Number
ADA166266

Entities

People

  • D. G. Dartt

Organizations

  • Control Data Corporation

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Artificial Satellites
  • Cloud Cover
  • Digital Data
  • Gray Scale
  • Grids
  • Image Processing
  • Images
  • Meteorological Satellites
  • Numerical Analysis
  • Research Facilities
  • Sea Surface Temperature
  • Standards
  • Surface Temperature
  • Trajectories
  • Tropical Cyclones
  • Two Dimensional

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Image Processing and Computer Vision.

Technology Areas

  • Space