Articles | Volume 22, issue 21
https://doi.org/10.5194/acp-22-14253-2022
https://doi.org/10.5194/acp-22-14253-2022
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

Viewed

Total article views: 2,945 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,252 660 33 2,945 39 31
  • HTML: 2,252
  • PDF: 660
  • XML: 33
  • Total: 2,945
  • BibTeX: 39
  • EndNote: 31
Views and downloads (calculated since 31 May 2022)
Cumulative views and downloads (calculated since 31 May 2022)

Viewed (geographical distribution)

Total article views: 2,945 (including HTML, PDF, and XML) Thereof 2,883 with geography defined and 62 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
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.
Altmetrics
Final-revised paper
Preprint