Laser Transmission Model, Balloon Experiment, and Satellite Remote Sensing for Thin Cirrus to Support ABL

Abstract

A three-dimensional (3-D) model has been developed for the transmission and backscattering of a high-energy laser beam through inhomogeneous high-level clouds in plane-parallel and spherical geometries. The formulations of laser transmission and backscattering are based on the successive-order-of scattering approach in which multiple scattering by cloud and aerosol particles can be effectively accounted for. Effects of the cloud inhomogeneity on 3-D laser transmission and backscattering have been examined by using 3-D cirrus cloud fields inferred from a combination of satellite data and a parameterization of the vertical cloud profile involving temperature from sounding and /or analysis. The model simulation results for 3D direct transmission, forward-scattered transmission, and backscattering differ substantially from those for the 2-D model developed previously. The Earth's curvature effect becomes increasingly significant for laser transmission as the distance between the aircraft and the target increases. The 3-D laser transmission and backscattering model can be directly linked to cloud data derived from satellite remote sensing and numerical forecasting models for tactical application.

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Document Details

Document Type
Technical Report
Publication Date
Mar 31, 2006
Accession Number
ADA455730

Entities

People

  • K. N. Liou
  • S. C. Ou
  • Y. Takano

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Backscattering
  • Cirrus Clouds
  • Clouds
  • Curvature
  • Forward Scattering
  • Geometry
  • High Energy
  • High Energy Lasers
  • Laser Beams
  • Lasers
  • Radiation
  • Remote Sensing
  • Scattering
  • Simulations
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Atmospheric Remote Sensing.
  • Computational Modeling and Simulation

Technology Areas

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