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An Accurate, Efficient Atmospheric Radiative Transfer Algorithm for TAWS

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
73899
Program Year/Program:
2005 / SBIR
Agency Tracking Number:
A052-053-1373
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
ATMOSPHERIC & ENVIRONMENTAL RESEARCH, INC.
131 Hartwell Avenue Lexington, MA 02421 3126
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2005
Title: An Accurate, Efficient Atmospheric Radiative Transfer Algorithm for TAWS
Agency / Branch: DOD / ARMY
Contract: W911QX-06-C-0007
Award Amount: $69,981.00
 

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.

Principal Investigator:

Hilary Snell
Sr. Staff Scientist
7817612288
hsnell@aer.com

Business Contact:

Cecilia Sze
President and CEO
7817612288
csze@aer.com
Small Business Information at Submission:

ATMOSPHERIC & ENVIRONMENTAL RESEARCH, INC.
131 Hartwell Avenue Lexington, MA 02421

EIN/Tax ID: 042608324
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No