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Proceedings Paper

A fast calculating two-stream-like multiple scattering algorithm that captures azimuthal and elevation variations
Author(s): Steven T. Fiorino; Brannon Elmore; Jaclyn Schmidt; Elizabeth Matchefts; Jarred L. Burley
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Paper Abstract

Properly accounting for multiple scattering effects can have important implications for remote sensing and possibly directed energy applications. For example, increasing path radiance can affect signal noise. This study describes the implementation of a fast-calculating two-stream-like multiple scattering algorithm that captures azimuthal and elevation variations into the Laser Environmental Effects Definition and Reference (LEEDR) atmospheric characterization and radiative transfer code. The multiple scattering algorithm fully solves for molecular, aerosol, cloud, and precipitation single-scatter layer effects with a Mie algorithm at every calculation point/layer rather than an interpolated value from a pre-calculated look-up-table. This top-down cumulative diffusivity method first considers the incident solar radiance contribution to a given layer accounting for solid angle and elevation, and it then measures the contribution of diffused energy from previous layers based on the transmission of the current level to produce a cumulative radiance that is reflected from a surface and measured at the aperture at the observer. Then a unique set of asymmetry and backscattering phase function parameter calculations are made which account for the radiance loss due to the molecular and aerosol constituent reflectivity within a level and allows for a more accurate characterization of diffuse layers that contribute to multiple scattered radiances in inhomogeneous atmospheres. The code logic is valid for spectral bands between 200 nm and radio wavelengths, and the accuracy is demonstrated by comparing the results from LEEDR to observed sky radiance data.

Paper Details

Date Published: 13 May 2016
PDF: 14 pages
Proc. SPIE 9833, Atmospheric Propagation XIII, 983305 (13 May 2016); doi: 10.1117/12.2223780
Show Author Affiliations
Steven T. Fiorino, Air Force Institute of Technology (United States)
Brannon Elmore, Air Force Institute of Technology (United States)
Oak Ridge Institute for Science and Education (United States)
Jaclyn Schmidt, Air Force Institute of Technology (United States)
Applied Research Solutions (United States)
Elizabeth Matchefts, Air Force Institute of Technology (United States)
Oak Ridge Institute for Science and Education (United States)
Jarred L. Burley, Air Force Institute of Technology (United States)


Published in SPIE Proceedings Vol. 9833:
Atmospheric Propagation XIII
Linda M. Thomas; Earl J. Spillar, Editor(s)

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