Articles | Volume 38, issue 3
https://doi.org/10.5194/angeo-38-611-2020
https://doi.org/10.5194/angeo-38-611-2020
Regular paper
 | 
13 May 2020
Regular paper |  | 13 May 2020

Occurrence climatology of equatorial plasma bubbles derived using FormoSat-3 ∕ COSMIC GPS radio occultation data

Ankur Kepkar, Christina Arras, Jens Wickert, Harald Schuh, Mahdi Alizadeh, and Lung-Chih Tsai

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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
ED: Reconsider after major revisions (further review by editor and referees) (29 Jun 2019) by William Ward
AR by Ankur Kepkar on behalf of the Authors (10 Aug 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (18 Aug 2019) by William Ward
RR by Anonymous Referee #1 (11 Sep 2019)
RR by Anonymous Referee #3 (25 Sep 2019)
ED: Publish subject to revisions (further review by editor and referees) (18 Oct 2019) by William Ward
AR by Ankur Kepkar on behalf of the Authors (28 Nov 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (17 Dec 2019) by William Ward
RR by Anonymous Referee #1 (08 Jan 2020)
RR by Anonymous Referee #2 (21 Feb 2020)
ED: Publish subject to minor revisions (review by editor) (25 Feb 2020) by William Ward
AR by Ankur Kepkar on behalf of the Authors (17 Mar 2020)  Author's response   Manuscript 
ED: Publish subject to technical corrections (06 Apr 2020) by William Ward
AR by Ankur Kepkar on behalf of the Authors (16 Apr 2020)  Author's response   Manuscript 
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Short summary
The paper focuses on the analyses of the global occurrence of equatorial plasma bubble events using S4 data that were calculated from GPS radio occultation measurements of the FormoSat-3/COSMIC mission. The advantage in using radio occultation data is that we get information not only on the occurrence and intensity of the equatorial bubble events, but also on the altitude distribution. We analyzed a 10.5-year time series of COSMIC data and demonstrated a strong dependence on the solar cycle.