Statistically analyzing the effect of ionospheric irregularity on GNSS radio occultation atmospheric measurement

Li, Mingzhe; Yue, Xinan

doi:https://doi.org/10.5194/amt-14-3003-2021

Articles | Volume 14, issue 4

https://doi.org/10.5194/amt-14-3003-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-14-3003-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 4

Research article

|

22 Apr 2021

Research article |

| 22 Apr 2021

Statistically analyzing the effect of ionospheric irregularity on GNSS radio occultation atmospheric measurement

Mingzhe Li and Xinan Yue

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Final revised paper (published on 22 Apr 2021)
Preprint (discussion started on 08 Dec 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'RC', Anonymous Referee #1, 14 Jan 2021
- AC1: 'Reply on RC1', Mingzhe Li, 20 Feb 2021
RC2: 'Review of "Statistical analyzing the effect of ionospheric irregularity on GNSS radio occultation atmospheric measurement" by Li and Yue', Anonymous Referee #2, 26 Jan 2021
- AC2: 'Reply on RC2', Mingzhe Li, 20 Feb 2021

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Mingzhe Li on behalf of the Authors (22 Feb 2021) Author's response Author's tracked changes Manuscript

ED: Publish subject to technical corrections (09 Mar 2021) by Peter Alexander

AR by Mingzhe Li on behalf of the Authors (13 Mar 2021) Author's response Manuscript

Short summary

In this study, we statistically analyzed the correlation between the ionospheric irregularity and the quality of the GNSS atmospheric radio occultation (RO) products. The results show that the ionospheric irregularity could affect the GNSS atmospheric RO in terms of causing failed inverted RO events and the bending angle oscillation. Awareness of the ionospheric irregularity effect on RO could be beneficial to improve the RO data quality for weather and climate research.