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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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AMT | Articles | Volume 12, issue 5
Atmos. Meas. Tech., 12, 2679-2692, 2019
https://doi.org/10.5194/amt-12-2679-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 12, 2679-2692, 2019
https://doi.org/10.5194/amt-12-2679-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 09 May 2019

Research article | 09 May 2019

Processing and quality control of FY-3C GNOS data used in numerical weather prediction applications

Mi Liao et al.
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Mi Liao on behalf of the Authors (21 Mar 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (22 Mar 2019) by Joanna Joiner
RR by Anonymous Referee #1 (04 Apr 2019)
RR by Anonymous Referee #4 (14 Apr 2019)
ED: Publish as is (14 Apr 2019) by Joanna Joiner
Publications Copernicus
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Short summary
This paper describes a new method for improving the data of the Chinese radio occultation sounder, GNOS, which has large biases. The new method can effectively eliminate about 90 % of the large departures. In addition, this paper also describes the quality control (QC) for the GNOS data. The GNOS data with the new L2 extrapolation are suitable for assimilation into numerical weather prediction systems.
This paper describes a new method for improving the data of the Chinese radio occultation...
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