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

Viewed

Total article views: 3,541 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,435 979 127 3,541 154 167
  • HTML: 2,435
  • PDF: 979
  • XML: 127
  • Total: 3,541
  • BibTeX: 154
  • EndNote: 167
Views and downloads (calculated since 14 Nov 2018)
Cumulative views and downloads (calculated since 14 Nov 2018)

Viewed (geographical distribution)

Total article views: 3,541 (including HTML, PDF, and XML) Thereof 3,410 with geography defined and 131 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 25 Apr 2026
Download
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.
Share