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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/amt-2019-183
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2019-183
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 29 Jul 2019

Submitted as: research article | 29 Jul 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).

Channel selection method for hyperspectral atmospheric infrared sounder using AIRS data based on layering

Shujie Chang1,2,3, Zheng Sheng1,2, Huadong Du1,2, Wei Ge1,2, and Wei Zhang1,2 Shujie Chang et al.
  • 1College of Meteorology and Oceanography, National University of Defense Technology, Nanjing, China
  • 2Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China
  • 3South China Sea Institute for Marine Meteorology, Guangdong Ocean University, Zhanjiang, China

Abstract. 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 effective channel selection scheme for a hyperspectral atmospheric infrared sounder using AIRS data based on layering is proposed. The results are as follows: (1) Using the improved method, the atmospheric retrievable index is more stable, the value reaching 0.54. The distribution of the temperature weight function is more continuous, more closely approximating that of the actual atmosphere; (2) Statistical inversion comparison experiments show that the accuracy of the retrieval temperature, using the improved channel selection method in this paper, is consistent with that of 1Dvar channel selection. In the near space layer especially, from 10 hPa to 0.02 hPa, the accuracy of the retrieval temperature of our improved channel selection method is evidently improved by about 1 K. In general, the accuracy of the retrieval temperature of ICS is improved. Especially, from 100 hPa to 0.01 hPa, the accuracy of ICS can be improved by more than 11 %; (3) Statistical inversion comparison experiments in four typical regions indicate that ICS in this paper is significantly better than NCS and PCS in different regions and shows latitudinal variations. Especially, from 100 hPa to 0.01 hPa, the accuracy of ICS can be improved by 7 % to 13 %, which means the ICS method selected in this paper is feasible and shows great promise for applications.

Shujie Chang et al.
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Shujie Chang et al.
Data sets

Atmospheric infrared sounder on the earth observing system H. H. Aumann https://doi.org/10.1117/12.159325

Model code and software

An update on the RTTOV fast radiative transfer model (currently at version 12) R. Saunders, J. Hocking, E. Turner, P. Rayer, D. Rundle, P. Brunel, J. Vidot, P. Roquet, M. Matricardi, A. Geer, N. Bormann, N., and C. Lupu https://doi.org/10.5194/gmd-11-2717-2018

Shujie Chang et al.
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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. A robust channel selection scheme for a hyperspectral atmospheric infrared sounder using AIRS data based on layering is proposed. The accuracy of the retrieval temperature by using our method is improved, which means the ICS method selected in this paper is feasible and shows great promise for applications.
Because a satellite channel’s ability to resolve hyperspectral data varies with height, an...
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