Weather and Atmospheric Effects for Simulation. Volume 1: WAVES98 Suite Overview

Abstract

The Weather and Atmospheric Effects for Simulation (WAVES) suite of models calculates and visualizes environmental effects due to natural clouds, haze, and fog. These models determine the illumination through multiple inhomogeneous cloud layers and the resulting radiance field. Other effects calculated with these models are forward scattering and optical turbulence. WAVES comprises BLIRB (the Boundary Layer Illumination and Radiative Balance model), ATMOS (a turbulence model), PixelMod (an image modifier), and VIEW (a viewing geometry model). Other models will be added to this suite in the future. A model being developed for the near future is 3DSMOKE, which is based on the EOSAEL (Electro-Optics Systems Atmospheric Effects Library) COMBIC (Combined Obscuration Model for Battlefield Induced Contaminants) model. A Tool Kit is being developed to aid in the viewing of input, output, and intermediate data within WAVES. This suite of models can simulate a scene or can be used to modify an image. This overview discusses the scope of this modeling suite, and maps the other documentation for the suite.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1998
Accession Number
ADA354226

Entities

People

  • Alan Wetmore
  • David Ligon
  • Patti Gillespie

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Atmospheric Sciences
  • Boundary Layer
  • Computational Fluid Dynamics
  • Computer Programming
  • Computers
  • Data Visualization
  • Databases
  • Electromagnetic Radiation
  • Forward Scattering
  • Human Systems Integration
  • Optical Properties
  • Optics
  • Radiative Transfer
  • Refractive Index
  • Test And Evaluation
  • Three Dimensional

Fields of Study

  • Environmental science
  • Physics

Readers

  • Atmospheric Remote Sensing.
  • Computational Modeling and Simulation
  • Database Systems and Applications