Articles | Volume 13, issue 2
Atmos. Meas. Tech., 13, 629–644, 2020
https://doi.org/10.5194/amt-13-629-2020
Atmos. Meas. Tech., 13, 629–644, 2020
https://doi.org/10.5194/amt-13-629-2020

Research article 10 Feb 2020

Research article | 10 Feb 2020

A channel selection method for hyperspectral atmospheric infrared sounders based on layering

Shujie Chang et al.

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Manuscript not accepted for further review
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Cited articles

Aires, F., Schmitt, M., Chedin, A., and Scott, N.: The “weighting smoothing” regularization of MLP for Jacobian stabilization, IEEE. T. Neural. Networks., 10, 1502–1510, https://doi.org/10.1109/72.809096, 1999. 
Aires, F., Chédin, A., Scott, N. A., and Rossow, W. B.: A regularized neural net approach for retrieval of atmospheric and surface temperatures with the IASI instrument, J. Appl. Meteorol., 41, 144–159, https://doi.org/10.1175/1520-0450(2002)041<0144:ARNNAF>2.0.CO;2, 2002. 
Aumann, H. H.: Atmospheric infrared sounder on the earth observing system, Optl. Engr., 33, 776–784, https://doi.org/10.1117/12.159325, 1994. 
Aumann, H. H., Chahine, M. T., Gautier, C., and Goldberg, M.: AIRS/AMSU/HSB on the Aqua mission: design, science objective, data products, and processing systems, IEEE. Trans. GRS., 41, 253–264, https://doi.org/10.1109/TGRS.2002.808356, 2003. 
Brath, M., Fox, S., Eriksson, P., Harlow, R. C., Burgdorf, M., and Buehler, S. A.: Retrieval of an ice water path over the ocean from ISMAR and MARSS millimeter and submillimeter brightness temperatures, Atmos. Meas. Tech., 11, 611–632, https://doi.org/10.5194/amt-11-611-2018, 2018. 
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Short summary
Because a satellite channel’s ability to resolve hyperspectral data varies with height, an improved channel selection method is proposed based on information content. An improved channel selection scheme (ICS) for a hyperspectral atmospheric infrared sounder using AIRS data based on layering is proposed. The accuracy of the retrieval temperature is improved by using our method, which means the ICS method selected in this paper is feasible and shows great promise for various applications.