Characteristic Size Spectra of Cumulus Fields Observed from Satellites.

Abstract

A technique is presented which allows the investigator to monitor size distributions of small scale cumulus fields using satellite data. The limitations of the technique are shown to be the resolution and quality of the satellite imagery. Twenty-four samples of small cumulus are studied using DMSP and SMS-1 satellite imagery. A total of eleven DMSP samples are examined from North Carolina and Florida. These samples are compared to six DMSP samples and seven SMS-1 samples drawn from cumulus fields observed over the subtropical and tropical Atlantic Ocean. Comparisons are based on parameters derived from the least-squares solutions of a linearized first order exponential model. An exponential decrease in cloud number density with increasing cloud diameter is exhibited in both the mean cloud number density distributions of the case studies and the mean cloud number density distributions of selected typical cumulus samples. The poorer data quality of the SMS-1 imagery is seen to cause deviations from the exponential model in approximately 40% of the samples.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1977
Accession Number
ADA049936

Entities

People

  • Malcolm Douglas Gifford

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Artificial Satellites
  • Clouds
  • Cumulus Clouds
  • Data Processing
  • Data Sets
  • Equations
  • Geographic Regions
  • Geosynchronous Satellites
  • Grids
  • Meteorological Satellites
  • Photographs
  • Reconnaissance
  • Regression Analysis
  • Statistical Analysis
  • United States

Readers

  • Approximation Theory.
  • Atmospheric Science/Meteorology
  • Mathematics or Statistics

Technology Areas

  • Space