Spectral Methods for Global Atmospheric Flow Applied to the Modified AFIT (Air Force Institute of Technology) Fallout Prediction Model

Abstract

This thesis predicted the airborne spatial distribution of a high explosive generated dust cloud. A comparison of predicted cloud center positions to experimental data collected from an aircraft flying through the dust cloud center at various times and altitudes was also studied. The analysis was accomplished using a model called AFGL which produces global complex spectral coefficients. Spectral coefficients were applied as inp fallout prediction model (called REDRAM) to predict dust mass/cu. m.

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1986
Accession Number
ADA177654

Entities

People

  • Darrell L. Palmer

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Biomedical
  • Cyber
  • Energy and Power Technologies
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Boundary Layer
  • Computational Science
  • Coordinate Systems
  • Engineering
  • Equations Of Motion
  • Experimental Data
  • Explosives
  • Filter Analysis
  • Free Field
  • Grids
  • Measurement
  • Mechanics
  • Meteorology
  • Molecular Dynamics
  • Nuclear Engineering
  • Nuclear Fallout
  • Particle Size
  • Three Dimensional
  • Two Dimensional
  • Wind Shear

Readers

  • Aerosol Science/Aerosol Physics
  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation