Paper
16 June 2003 Intercomparison of EGA, CGA, and LBL forward model computation schemes for SAGE III water vapor retrieval
Er Woon Chiou, William P. Chu, Larry W. Thomason, D. Chris Benner, Anne C. Edwards
Author Affiliations +
Proceedings Volume 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications; (2003) https://doi.org/10.1117/12.466836
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China
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.
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Er Woon Chiou, William P. Chu, Larry W. Thomason, D. Chris Benner, and Anne C. Edwards "Intercomparison of EGA, CGA, and LBL forward model computation schemes for SAGE III water vapor retrieval", Proc. SPIE 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications, (16 June 2003); https://doi.org/10.1117/12.466836
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KEYWORDS
Absorption

Databases

Atmospheric modeling

Data modeling

Solar radiation models

Aerosols

Atmospheric particles

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