Articles | Volume 13, issue 2
https://doi.org/10.5194/amt-13-629-2020
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, Zheng Sheng, Huadong Du, Wei Ge, and Wei Zhang

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Shujie Chang on behalf of the Authors (22 Nov 2019)  Author's response    Manuscript
ED: Publish subject to technical corrections (06 Dec 2019) by Lars Hoffmann
AR by Shujie Chang on behalf of the Authors (12 Dec 2019)  Author's response    Manuscript
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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.