Articles | Volume 12, issue 5
https://doi.org/10.5194/amt-12-2679-2019
https://doi.org/10.5194/amt-12-2679-2019
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, Sean Healy, and Peng Zhang

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Latest update: 27 Mar 2024
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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.