Articles | Volume 22, issue 21
Atmos. Chem. Phys., 22, 14253–14282, 2022
https://doi.org/10.5194/acp-22-14253-2022
Atmos. Chem. Phys., 22, 14253–14282, 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 et al.

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Supplementary Figures of "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 https://doi.org/10.4121/20338212

Supplementary Data for "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 https://doi.org/10.4121/16886977

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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.
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