Laser Transmission Through Simulated Cirrus Clouds

Abstract

Since approximately 20% of the globe is covered with cirrus clouds at any given time, it is clear that any airborne or spaceborne system using a laser will intercept cirrus clouds at some point. Cirrus clouds contain a very complex microphysical structure that will affect laser power by scattering and reflecting it away from the intended target, thus reducing efficiency and possibly even making it ineffective. Using two thin cirrus laser transmission models, a single homogeneous cloud layer model and a multiple cloud layer model, laser transmission profiles are generated from a simulated cirrus cloud case created by the RAMS model. Sensitivity studies are performed on the laser transmission model to examine the effects of aerosols and water vapor, ice crystal orientation, multiple scattering contributions, and the differences between the single and multiple layer models. Different parts of the RAMS simulated cloud are examined as well as the development of a particular cloud feature. The two different laser transmission models are compared against each other for a variety of different cirrus cloud conditions within the simulated case. Optical depth is a cloud variable that is fairly well measured using remote sensing techniques and airborne lidar. Average optical depth is examined as a viable parameter to indicate the likely transmission through a cloud.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2001
Accession Number
ADA399376

Entities

People

  • Ila L. Kolb

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Atmospheric Sciences
  • Boundary Layer
  • Cirrus Clouds
  • Climate Change
  • Electromagnetic Radiation
  • Geometry
  • Horizontal Orientation
  • Laser Beams
  • Light Scattering
  • Measurement
  • Optical Properties
  • Radiative Transfer
  • Refractive Index
  • Remote Sensing
  • Scattering
  • United States

Readers

  • Atmospheric Remote Sensing.
  • Computational Modeling and Simulation

Technology Areas

  • Directed Energy