Publication Abstracts
Aires et al. 2002
Aires, F., A. Chédin, N. Scott, and
, 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={Journal of Applied Meteorology}, 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. JO - Journal of Applied Meteorology VL - 41 SP - 144 EP - 159 DO - 10.1175/1520-0450(2002)041%3C0144%3AARNNAF%3E2.0.CO;2 ER -
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