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Proceedings Paper

Intercomparison of EGA, CGA, and LBL forward model computation schemes for SAGE III water vapor retrieval
Author(s): Er Woon Chiou; William P. Chu; Larry W. Thomason; D. Chris Benner; Anne C. Edwards
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Paper Abstract

This paper presents a comparison of the three forward model computational schemes, namely, Emissivity Growth Approximation (EGA), Curtis-Godson Approximation (CGA), and line-by-line (LBL) approach developed for SAGE III water vapor retrieval. For all three schemes, we have incorporated the most recent laboratory measurements of spectral line parameters to avoid the bias which is known to exist in HITRAN-96 database. Discussions are focused on the strength and weakness of each scheme with respect to accuracy and computational efficiency. The computer time for the LBL has been reduced significantly. The advantage of the LBL is manifest when the dependence of EGA and CGA on a huge pre-calculated lookup table and the breakdown of assumptions for these two schemes at lower altitudes are taken into account.

Paper Details

Date Published: 16 June 2003
PDF: 10 pages
Proc. SPIE 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications, (16 June 2003); doi: 10.1117/12.466836
Show Author Affiliations
Er Woon Chiou, Science Applications International Corp. (United States)
William P. Chu, NASA Langley Research Ctr. (United States)
Larry W. Thomason, NASA Langley Research Ctr. (United States)
D. Chris Benner, College of William and Mary (United States)
Anne C. Edwards, Science Applications International Corp. (United States)


Published in SPIE Proceedings Vol. 4897:
Multispectral and Hyperspectral Remote Sensing Instruments and Applications
Allen M. Larar; Qingxi Tong; Makoto Suzuki, Editor(s)

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