Precipitation Estimation Using Satellite Data.

Abstract

This report attempts to show that, by fitting particular nonlinear auto-covariance and cross-covariance functions to space-time covariance values calculated from satellite data, convective complex characteristics such as size, ellipticity, motion, growth, and decay of a storm can be determined. These modeled features then can be related to convective storm characteristics found by Scofield and Oliver. In turn, these characteristics are related to actual rainfall amounts. The results of this study are a first step in removing the subjectivity from current rainfall estimation techniques. Results from the 20 May 1977 storm over Texas and Oklahoma are presented. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1979
Accession Number
ADA075978

Entities

People

  • Bruce. T. Miers

Organizations

  • Atmospheric Sciences Laboratory

Tags

Communities of Interest

  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Artillery
  • Atmospheric Sciences
  • Computer Programs
  • Computers
  • Data Sets
  • Databases
  • Detectors
  • Information Science
  • Latitude
  • Longitude
  • Measurement
  • Meteorology
  • Military Research
  • Range Finding
  • United States
  • Warfare

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Space Exploration and Orbital Mechanics.

Technology Areas

  • Space