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AGU: Journal of Geophysical Research, Atmospheres

 

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Abstract
Cited By (8)
 

Abstract

JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 107, 4619, 15 PP., 2002
doi:10.1029/2001JD000955

Remote sensing from the infrared atmospheric sounding interferometer instrument 1. Compression, denoising, and first-guess retrieval algorithms

F. Aires

Department of Applied Physics and Applied Mathematics, Columbia University, New York, New York, USA

NASA Goddard Institute for Space Studies, New York, New York, USA

W. B. Rossow

NASA Goddard Institute for Space Studies, New York, New York, USA

N. A. Scott

Laboratoire de Météorology Dynamique, École Polytechnique, Palaiseau, France

A. Chédin

Laboratoire de Météorology Dynamique, École Polytechnique, Palaiseau, France

A principal component analysis (PCA) scheme is developed for treatment of observations from the high spectral resolution Infrared Atmospheric Interferometer (IASI) spaceborne instrument. Compression and denoising of IASI observations are performed using this PCA. This preprocessing methodology also allows for a fast pattern recognition to obtain a first guess from a climatological data set. The performance of the compression, denoising, and multivariate first-guess retrieval are evaluated with a large diversified data set of radiosondes atmospheres including rare events. Overall, the instrumental noise in the overall observed IASI spectrum goes from 0.9 to 0.2 K after denoising. This analysis procedure will be used by Aires et al. [2002c] to retrieve simultaneously temperature, water vapor and ozone atmospheric profiles.

Published 19 November 2002.

Citation: Aires, F., W. B. Rossow, N. A. Scott, and A. Chédin (2002), Remote sensing from the infrared atmospheric sounding interferometer instrument 1. Compression, denoising, and first-guess retrieval algorithms, J. Geophys. Res., 107(D22), 4619, doi:10.1029/2001JD000955.

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