Publication Abstracts

Aires et al. 2002

Aires, F., A. Chédin, N. Scott, and W.B. Rossow, 2002: A regularized neural network approach for retrieval of atmospheric and surface temperatures with the IASI instrument. J. Appl. Meteorol., 41, 144-159, doi:10.1175/1520-0450(2002)041<0144:ARNNAF>2.0.CO;2.

In this paper, a fast atmospheric and surface temperature retrieval algorithm is developed for the high resolution Infrared Atmospheric Sounding Interferometer (IASI) space-borne instrument. This algorithm is constructed on the basis of a neural network technique that has been regularized by introduction of a priori information. The performance of the resulting fast and accurate inverse radiative transfer model is presented for a large diversified dataset of radiosonde atmospheres including rare events. Two configurations are considered: a tropical-airmass specialized scheme and an all-air-masses scheme.

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BibTeX Citation

@article{ai06000k,
  author={Aires, F. and Chédin, A. and Scott, N. and Rossow, W. B.},
  title={A regularized neural network approach for retrieval of atmospheric and surface temperatures with the IASI instrument},
  year={2002},
  journal={J. Appl. Meteorol.},
  volume={41},
  pages={144--159},
  doi={10.1175/1520-0450(2002)041%3C0144%3AARNNAF%3E2.0.CO;2},
}

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RIS Citation

TY  - JOUR
ID  - ai06000k
AU  - Aires, F.
AU  - Chédin, A.
AU  - Scott, N.
AU  - Rossow, W. B.
PY  - 2002
TI  - A regularized neural network approach for retrieval of atmospheric and surface temperatures with the IASI instrument
JA  - J. Appl. Meteorol.
VL  - 41
SP  - 144
EP  - 159
DO  - 10.1175/1520-0450(2002)041%3C0144%3AARNNAF%3E2.0.CO;2
ER  -

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