Articles | Volume 22, issue 18
https://doi.org/10.5194/acp-22-11987-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-11987-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Impact of present and future aircraft NOx and aerosol emissions on atmospheric composition and associated direct radiative forcing of climate
Etienne Terrenoire
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), UMR
8212, Gif-sur-Yvette, France
now at: Office National d'Etudes et de Recherches Aérospatiales
(ONERA), DMPE, Université Paris-Saclay, Palaiseau, France
Didier A. Hauglustaine
CORRESPONDING AUTHOR
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), UMR
8212, Gif-sur-Yvette, France
Yann Cohen
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), UMR
8212, Gif-sur-Yvette, France
Anne Cozic
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), UMR
8212, Gif-sur-Yvette, France
Richard Valorso
Univ. Paris-Est-Créteil and Université Paris Cité, CNRS, LISA,
94010 Créteil, France
Franck Lefèvre
Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS),
UMR 8190, Paris, France
Sigrun Matthes
Deutsches Zentrum für Luft-und Raumfahrt e.V., DLR
Institut für Physik der Atmosphäre, Oberpfaffenhofen,
82334 Wessling, Germany
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- Recent ozone trends in the Chinese free troposphere: role of the local emission reductions and meteorology G. Dufour et al. 10.5194/acp-21-16001-2021
- Characteristics, sources, and health risks of inorganic elements in PM2.5 and PM10 at Tianjin Binhai international airport Q. Zhang et al. 10.1016/j.envpol.2023.121988
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- Machine learning based approach for forecasting emission parameters of mixed flow turbofan engine at high power modes H. Aygun et al. 10.1016/j.energy.2023.127026
- Predicting the climate impact of aviation for en-route emissions: the algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53 F. Yin et al. 10.5194/gmd-16-3313-2023
- How do Cl concentrations matter for the simulation of CH4 and δ13C(CH4) and estimation of the CH4 budget through atmospheric inversions? J. Thanwerdas et al. 10.5194/acp-22-15489-2022
- A multi-model assessment of the Global Warming Potential of hydrogen M. Sand et al. 10.1038/s43247-023-00857-8
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- Climate benefit of a future hydrogen economy D. Hauglustaine et al. 10.1038/s43247-022-00626-z
9 citations as recorded by crossref.
- The climate impact of hydrogen-powered hypersonic transport J. Pletzer et al. 10.5194/acp-22-14323-2022
- Recent ozone trends in the Chinese free troposphere: role of the local emission reductions and meteorology G. Dufour et al. 10.5194/acp-21-16001-2021
- Characteristics, sources, and health risks of inorganic elements in PM2.5 and PM10 at Tianjin Binhai international airport Q. Zhang et al. 10.1016/j.envpol.2023.121988
- The Review of Current and Proposed Methods of Manufacturing Fir Tree Slots of Turbine Aero Engine Discs J. Buk et al. 10.3390/ma16145143
- Machine learning based approach for forecasting emission parameters of mixed flow turbofan engine at high power modes H. Aygun et al. 10.1016/j.energy.2023.127026
- Predicting the climate impact of aviation for en-route emissions: the algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53 F. Yin et al. 10.5194/gmd-16-3313-2023
- How do Cl concentrations matter for the simulation of CH4 and δ13C(CH4) and estimation of the CH4 budget through atmospheric inversions? J. Thanwerdas et al. 10.5194/acp-22-15489-2022
- A multi-model assessment of the Global Warming Potential of hydrogen M. Sand et al. 10.1038/s43247-023-00857-8
- A Python library for computing individual and merged non-CO2 algorithmic climate change functions: CLIMaCCF V1.0 S. Dietmüller et al. 10.5194/gmd-16-4405-2023
Latest update: 25 Sep 2023
Short summary
Aviation NOx emissions not only have an impact on global climate by changing ozone and methane levels in the atmosphere, but also contribute to the deterioration of local air quality. The LMDZ-INCA global model is applied to re-evaluate the impact of aircraft NOx and aerosol emissions on climate. We investigate the impact of present-day and future (2050) aircraft emissions on atmospheric composition and the associated radiative forcings of climate for ozone, methane and aerosol direct forcings.
Aviation NOx emissions not only have an impact on global climate by changing ozone and methane...
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