Publication Abstracts

Aires et al. 2002

Aires, F., W.B. Rossow, N. Scott, and A. Chedin, 2002: Remote sensing from the infrared atmospheric sounding interferometer instrument. 1. Compression, de-noising, and first guess retrieval algorithms. J. Geophys. Res., 107, no. D22, 4619, doi:10.1029/2001JD000955.

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.

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BibTeX Citation

@article{ai08000d,
  author={Aires, F. and Rossow, W. B. and Scott, N. and Chedin, A.},
  title={Remote sensing from the infrared atmospheric sounding interferometer instrument. 1. Compression, de-noising, and first guess retrieval algorithms},
  year={2002},
  journal={J. Geophys. Res.},
  volume={107},
  number={D22},
  pages={4619},
  doi={10.1029/2001JD000955},
}

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RIS Citation

TY  - JOUR
ID  - ai08000d
AU  - Aires, F.
AU  - Rossow, W. B.
AU  - Scott, N.
AU  - Chedin, A.
PY  - 2002
TI  - Remote sensing from the infrared atmospheric sounding interferometer instrument. 1. Compression, de-noising, and first guess retrieval algorithms
JA  - J. Geophys. Res.
VL  - 107
IS  - D22
SP  - 4619
DO  - 10.1029/2001JD000955
ER  -

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