Estimates of Atmospheric Distortion Number for Nonlinear Refraction

Abstract

A characteristic nondimensional distortion number Nd was derived in the 1970s that allows inference of the degree of nonlinear refraction or thermal blooming associated with an atmospheric laser path. For a continuous-wave (CW) laser with a Gaussian-shaped beam, the distortion number is a function of several variables including laser power and aperture size, optical wavelength, atmospheric absorption and extinction, index of refraction, temperature, air density, and the air speed or flow transverse to the laser beam. Scenario-dependent calculations of atmospheric distortion number Nd are developed for different geographic regions and seasons using the Air Force Research Laboratory's global thermosonde database, the HITRAN molecular spectroscopic database, and global climatological aerosol model extinction profiles. Tactical air-to-ground scenarios are described as a function of altitude, target distance, and laser-to-target azimuth angle for the COIL wavelength (1.315 micrometers). The results are interpreted in light of seasonal and geographical factors as well as path-integrated moisture.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2007
Accession Number
ADA472624

Entities

People

  • G. Y. Jumper
  • J. R. Roadcap
  • P. J. Mcnicholl
  • R. R. Beland

Organizations

  • Boston College

Tags

Communities of Interest

  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Absorption
  • Absorption Coefficients
  • Air Force
  • Air Force Research Laboratories
  • Altitude
  • Atmospheric Attenuation
  • Blooming
  • Boundary Layer
  • Chemical Oxygen Iodine Lasers
  • Geographic Regions
  • Laser Beams
  • Lasers
  • Military Research
  • Optical Properties
  • Refraction
  • Refractive Index
  • Thermal Blooming

Fields of Study

  • Physics

Readers

  • Polar and Arctic Studies
  • Pulsed Power and Plasma Physics.
  • Spectroscopy.

Technology Areas

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