FORECAST METHODS FROM SATELLITE PHOTOGRAPHS

Abstract

Two models of atmospheric flow, 'compensation' and 'moist over- compensation' are found to be useful in the study of tropical weather in conventional and satellite observations. A numerical weather prediction model simulating important physical processes in the low latitudes is developed to test the feasibility of using ATS information to infer future weather distribution. Diagnostic studies using ATS films and conventional synoptic weather maps describe the weather situations in the Central North Pacific in terms of the theoretical models. Results of the prediction experiment and future use of ATS type data in numerical prediction models are discussed and application recommended. Appendix A gives a description of one method of following cloud motion in satellite photographs.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1969
Accession Number
AD0697940

Entities

People

  • John C. Freeman
  • Keith Veigas
  • Pieter Feteris
  • Sam Rosenberg
  • Troxel Ballou

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Pressure
  • Case Studies
  • Condensation
  • Coordinate Systems
  • Equations
  • Grids
  • Heat Energy
  • Humidity
  • Inversion
  • Latent Heat
  • Latitude
  • Longitude
  • Meteorological Charts
  • Moisture
  • Observation
  • Regions
  • Sequences

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Aviation Science / Aeronautics.
  • Computational Modeling and Simulation

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Space