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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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AMT | Articles | Volume 12, issue 4
Atmos. Meas. Tech., 12, 2067-2084, 2019
https://doi.org/10.5194/amt-12-2067-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 12, 2067-2084, 2019
https://doi.org/10.5194/amt-12-2067-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 04 Apr 2019

Research article | 04 Apr 2019

OMI total bromine monoxide (OMBRO) data product: algorithm, retrieval and measurement comparisons

Raid M. Suleiman et al.
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Raid Suleiman on behalf of the Authors (14 May 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (31 May 2018) by William R. Simpson
RR by Anonymous Referee #2 (12 Jun 2018)
RR by Anonymous Referee #3 (01 Jul 2018)
RR by Johannes Lampel (01 Jul 2018)
ED: Reconsider after major revisions (14 Jul 2018) by William R. Simpson
AR by Anna Wenzel on behalf of the Authors (23 Jan 2019)  Author's response    Manuscript
ED: Reconsider after major revisions (11 Feb 2019) by William R. Simpson
AR by Raid Suleiman on behalf of the Authors (11 Mar 2019)  Author's response    Manuscript
ED: Publish as is (19 Mar 2019) by William R. Simpson
Publications Copernicus
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Short summary
This paper presents the retrieval algorithm for the operational OMBRO data product and shows comparisons with correlative measurements and retrieval results. We highlight the physics of the retrieval. We compare the OMBRO products with other satellite and in situ measurements of BrO and illustrate the quality of the product on a global scale. We study OMBRO enhancements in volcanic plumes and over salt lakes. We also discuss the shortcomings and future updates of the OMBRO product.
This paper presents the retrieval algorithm for the operational OMBRO data product and shows...
Citation