Articles | Volume 11, issue 1
Atmos. Meas. Tech., 11, 111–125, 2018
https://doi.org/10.5194/amt-11-111-2018

Special issue: Observing Atmosphere and Climate with Occultation Techniques...

Atmos. Meas. Tech., 11, 111–125, 2018
https://doi.org/10.5194/amt-11-111-2018

Research article 10 Jan 2018

Research article | 10 Jan 2018

Wave-optics uncertainty propagation and regression-based bias model in GNSS radio occultation bending angle retrievals

Michael E. Gorbunov and Gottfried Kirchengast

Viewed

Total article views: 1,542 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
906 595 41 1,542 45 51
  • HTML: 906
  • PDF: 595
  • XML: 41
  • Total: 1,542
  • BibTeX: 45
  • EndNote: 51
Views and downloads (calculated since 16 May 2017)
Cumulative views and downloads (calculated since 16 May 2017)

Viewed (geographical distribution)

Total article views: 1,477 (including HTML, PDF, and XML) Thereof 1,469 with geography defined and 8 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 04 Dec 2021
Download
Short summary
We study the systematic discreapancies between atmospheric refractivity derived from radio occulation (RO) sounding of the Earth's atmosphere and the reanalyses of the European Centre for Medium-Range Weather Forecasts. We construct a regression-based bias model. The model can be used for the RO data propagation in the new reference occultation processing system (rOPS) including the uncertainty propagation through the retrieval chain.