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

摘要

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.