Articles | Volume 22, issue 17
https://doi.org/10.5194/acp-22-11505-2022
https://doi.org/10.5194/acp-22-11505-2022
Research article
 | 
07 Sep 2022
Research article |  | 07 Sep 2022

Quantifying NOx emissions in Egypt using TROPOMI observations

Anthony Rey-Pommier, Frédéric Chevallier, Philippe Ciais, Grégoire Broquet, Theodoros Christoudias, Jonilda Kushta, Didier Hauglustaine, and Jean Sciare

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-1051', Anonymous Referee #1, 25 Feb 2022
    • AC1: 'Reply on RC1 and RC2', Anthony Rey-Pommier, 22 Apr 2022
  • RC2: 'Comment on acp-2021-1051', Anonymous Referee #2, 09 Mar 2022
    • AC1: 'Reply on RC1 and RC2', Anthony Rey-Pommier, 22 Apr 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Anthony Rey-Pommier on behalf of the Authors (29 May 2022)  Manuscript 
EF by Polina Shvedko (15 Jun 2022)  Author's tracked changes 
ED: Referee Nomination & Report Request started (27 Jun 2022) by Bryan N. Duncan
RR by Anonymous Referee #2 (04 Jul 2022)
RR by Anonymous Referee #1 (18 Jul 2022)
EF by Anna Mirena Feist-Polner (29 Jun 2022)  Author's response 
ED: Publish subject to minor revisions (review by editor) (18 Jul 2022) by Bryan N. Duncan
AR by Anthony Rey-Pommier on behalf of the Authors (29 Jul 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (29 Jul 2022) by Bryan N. Duncan
AR by Anthony Rey-Pommier on behalf of the Authors (12 Aug 2022)  Manuscript 
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Short summary
Emission inventories for air pollutants can be uncertain in developing countries. In order to overcome these uncertainties, we model nitrogen oxide emissions in Egypt using satellite retrievals. We detect a weekly cycle reflecting Egyptian social norms, an annual cycle consistent with electricity consumption and an activity drop due to the COVID-19 pandemic. However, discrepancies with inventories remain high, illustrating the needs for additional data to improve the potential of our method.
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