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Remote sensing from the infrared atmospheric sounding interferometer instrument
 

Summary: 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 and A. Che´din
Laboratoire de Me´te´orology Dynamique, E´cole Polytechnique, Palaiseau, France
Received 19 June 2001; revised 4 February 2002; accepted 5 February 2002; published 19 November 2002.
[1] 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

  

Source: Aires, Filipe - Laboratoire de Météorologie Dynamique du CNRS, Université Pierre-et-Marie-Curie, Paris 6
Goddard Institute for Space Studies (NASA)

 

Collections: Environmental Sciences and Ecology; Geosciences