Articles | Volume 22, issue 21
Research article
08 Nov 2022
Research article |  | 08 Nov 2022

Transport patterns of global aviation NOx and their short-term O3 radiative forcing – a machine learning approach

Jin Maruhashi, Volker Grewe, Christine Frömming, Patrick Jöckel, and Irene C. Dedoussi


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • EC1: 'Editor comment on acp-2022-348', Peer Johannes Nowack, 18 Jul 2022
    • AC1: 'Reply on EC1', Irene Dedoussi, 20 Jul 2022
  • RC1: 'Comment on acp-2022-348', Anonymous Referee #1, 29 Jul 2022
  • RC2: 'Comment on acp-2022-348', Anonymous Referee #2, 27 Aug 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Irene Dedoussi on behalf of the Authors (28 Sep 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (09 Oct 2022) by Peer Johannes Nowack
AR by Irene Dedoussi on behalf of the Authors (15 Oct 2022)  Author's response    Manuscript
Short summary
Aviation NOx emissions lead to the formation of ozone in the atmosphere in the short term, which has a climate warming effect. This study uses global-scale simulations to characterize the transport patterns between NOx emissions at an altitude of ~ 10.4 km and the resulting ozone. Results show a strong spatial and temporal dependence of NOx in disturbing atmospheric O3 concentrations, with the location that is most impacted in terms of warming not necessarily coinciding with the emission region.
Final-revised paper