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
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
NASA Goddard Institute for Space Studies, New York, New York, USA
Laboratoire de Météorology Dynamique, École Polytechnique, Palaiseau, France
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
Published 19 November 2002.
Citation: (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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