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

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Michael Gorbunov on behalf of the Authors (11 Sep 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (14 Sep 2017) by Axel von Engeln
RR by Anonymous Referee #1 (19 Oct 2017)
ED: Publish subject to minor revisions (review by editor) (27 Oct 2017) by Axel von Engeln
AR by Michael Gorbunov on behalf of the Authors (06 Nov 2017)  Author's response
ED: Publish as is (06 Nov 2017) by Axel von Engeln
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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.