HR: 1340h
AN: SF43A-0777 [Abstracts]
TI: The Application of Principal Component Analysis in Fast, Highly Accurate and High Spectral Resolution
Radiative Transfer Modeling: A Case Study of the O$_{2}$ A-band
AU: * Natraj, V
EM: vij@caltech.edu
AF: Division of Geological and Planetary Sciences, MC 150-21
1200 E California Blvd, Pasadena, CA 91125
United States
AU: Jiang, X
EM: xun@gps.caltech.edu
AF: Division of Geological and Planetary Sciences, MC 150-21
1200 E California Blvd, Pasadena, CA 91125
United States
AU: Shia, R
EM: rls@gps.caltech.edu
AF: Division of Geological and Planetary Sciences, MC 150-21
1200 E California Blvd, Pasadena, CA 91125
United States
AU: Huang, X
EM: xianglei.huang@noaa.gov
AF: NOAA Geophysical Fluid Dynamics Laboratory, Princeton University Forrestal Campus
201 Forrestal Road, Princeton, NJ 08540
United States
AU: Margolis, J S
EM: jack@mail2.rsasys.com
AF: Remote Sensing Analysis Systems, Inc., Suite 206/7
2235 N. Lake Ave., Altadena, CA 91001
United States
AU: Yung, Y L
EM: yly@gps.caltech.edu
AF: Division of Geological and Planetary Sciences, MC 150-21
1200 E California Blvd, Pasadena, CA 91125
United States
AB:
Radiative transfer computation is the rate-limiting step in most high spectral resolution remote sensing retrieval
applications. While several techniques have been proposed to speed up radiative transfer calculations, they all suffer from
accuracy considerations. We propose a new method, based on a principal component analysis of the optical properties of the
system, that addresses these concerns. Taking atmospheric transmission in the O$_{2}$ A-band as a test case, we reproduced
the radiance spectrum with an accuracy of 0.3%, relative to that obtained using the multiple scattering code DISORT, while
achieving an order of magnitude improvement in speed.
DE: 9810 New fields (not classifiable under other headings)
DE: 3359 Radiative processes
DE: 3360 Remote sensing
DE: 3394 Instruments and techniques
DE: 1640 Remote sensing
SC: Special Focus: Advances in Data Acquisition, Management, Analysis and Display [SF]
MN: 2004 AGU Fall Meeting