An Accurate, Efficient Atmospheric Radiative Transfer Algorithm for TAWS

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$69,981.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
W911QX-06-C-0007
Agency Tracking Number:
A052-053-1373
Solicitation Year:
2005
Solicitation Topic Code:
A05-053
Solicitation Number:
2005.2
Small Business Information
ATMOSPHERIC & ENVIRONMENTAL RESEARCH, IN
131 Hartwell Avenue, Lexington, MA, 02421
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
091493569
Principal Investigator:
Hilary Snell
Sr. Staff Scientist
(781) 761-2288
hsnell@aer.com
Business Contact:
Cecilia Sze
President and CEO
(781) 761-2288
csze@aer.com
Research Institution:
n/a
Abstract
A core process for sensor performance prediction is the radiative transport algorithm used to convert the scene environmental characteristics into radiance. Numeric approximations are often used to enhance execution time at the expense of overall radiometric accuracy. However, many radiative transfer approximations have limited applicability, working only for a set of atmospheric conditions, sensor configurations, or geometry. The use of approximations to the full radiative transfer solution is not always the best approach and in the ideal case the user would have the ability to tune both radiometric accuracy and the execution time to achieve the ideal balance for a particular problem. Since TAWS supports sensors in multiple wavebands, consistent physics across multiple wavebands is highly advantageous. We propose to extend our OSS radiative transfer module for TAWS to meet the radiative transfer requirements (all view angles and for a full range of scattering conditions) in an extremely computationally efficient manner without cumbersome approximations or discontinuities. Replacing the current radiative transfer model in TAWS with OSS would provide connectivity to state-of-art spectroscopic parameters for molecules, clouds, aerosols and surface properties, and would provide a straightforward path for future enhancements such as the inclusion of polarization effects within the model.

* information listed above is at the time of submission.

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