Quantifying aviation’s contribution to global warming
Open accessPublished version of a preprint
Abstract
Growth in aviation contributes more to global warming than is generally appreciated because of the mix of climate pollutants it generates. Here, we model the CO 2 and non-CO 2 effects like nitrogen oxide emissions and contrail formation to analyse aviation’s total warming footprint. Aviation contributed approximately 4% to observed human-induced global warming to date, despite being responsible for only 2.4% of global annual emissions of CO 2 . Aviation is projected to cause a total of about 0.1 °C of warming by 2050, half of it to date and the other half over the next three decades, should aviation’s pre-COVID growth resume. The industry would then contribute a 6%–17% share to the remaining 0.3 °C–0.8 °C to not exceed 1.5 °C–2 °C of global warming. Under this scenario, the reduction due to COVID-19 to date is small and is projected to only delay aviation’s warming contribution by about five years. But the leveraging impact of growth also represents an opportunity: aviation’s contribution to further warming would be immediately halted by either a sustained annual 2.5% decrease in air traffic under the existing fuel mix, or a transition to a 90% carbon-neutral fuel mix by 2050.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Aviation contributes roughly 4% of the world's net human-driven effective radiative forcing.
“contributing roughly 4% of the world’s net human-driven effective radiative forcing4,5”
From Large carbon dioxide emissions avoidance potential in improved commercial air transport efficiency (2026) · cites this paper as [5]
Cites
The contribution of global aviation to anthropogenic climate forcing for 2000 to 2018
Lee, D. S., Fahey, D. W., Skowron, A., Allen, M. R., Burkhardt, U., Chen, Q., Doherty, S. J., Freeman, S., Forster, P. M., Fuglestvedt, J., et al. (2021) · Atmospheric Environment · doi:10.1016/j.atmosenv.2020.117834 · Cited by 1,715 · see citing works
Self-citationTransport: A roadblock to climate change mitigation?
Creutzig, F., Jochem, P., Edelenbosch, O. Y., Mattauch, L., Vuuren, D. P. V., McCollum, D., & Minx, J. (2015) · Science · doi:10.1126/science.aac8033 · Cited by 576 · see citing works
Improved calculation of warming-equivalent emissions for short-lived climate pollutants
Cain, M., Lynch, J., Allen, M. R., Fuglestvedt, J. S., Frame, D. J., & Macey, A. H. (2019) · npj Climate and Atmospheric Science · doi:10.1038/s41612-019-0086-4 · Cited by 333 · see citing works
Self-citationCleaner burning aviation fuels can reduce contrail cloudiness
Voigt, C., Kleine, J., Sauer, D., Moore, R. H., Bräuer, T., Le Clercq, P., Kaufmann, S., Scheibe, M., Jurkat-Witschas, T., Aigner, M., et al. (2021) · Communications Earth & Environment · doi:10.1038/s43247-021-00174-y · Cited by 295 · see citing works
Simulated radiative forcing from contrails and contrail cirrus
Chen, C.-C., & Gettelman, A. (2013) · Atmospheric Chemistry and Physics · doi:10.5194/acp-13-12525-2013 · Cited by 95 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Pathways to net-zero emissions from aviation
Bergero, C., Gosnell, G., Gielen, D., Kang, S., Bazilian, M., & Davis, S. J. (2023) · Nature Sustainability · doi:10.1038/s41893-022-01046-9 · Cited by 430 · see citing works
A reliable predict-then-optimize approach for minimizing aircraft fuel consumption
Wang, Z., Xue, D., Wu, L., & Yan, R. (2025) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2025.104693 · Cited by 22 · see citing works
Large carbon dioxide emissions avoidance potential in improved commercial air transport efficiency
Gössling, S., Klöwer, M., Leitão, J. C., Hirsch, S., Brockhagen, D., & Humpe, A. (2026) · Communications Earth & Environment · doi:10.1038/s43247-025-03069-4 · Cited by 11 · see citing works
Self-citation
- Authors
- Klöwer, M., Allen, M. R., Lee, D. S., Proud, S. R., Gallagher, L., & Skowron, A.
- Affiliations
- University of Oxford (GB)
- Manchester Metropolitan University (GB)
- Rutherford Appleton Laboratory (GB)
- Corresponding author
- Klöwer, M
- Venue
- Environmental Research Letters
- Publisher
- IOP Publishing
- Published
- 2021-10-01
- Volume
- 16
- Issue
- 10
- Pages
- 104027
- ISSN
- 1748-9326 (ISSN-L)
- OpenAlex
- W3173384444
- Cited by
- 256
- References
- 5
- Citations by year
- 2026: 64 · 2025: 50 · 2024: 68 · 2023: 52 · 2022: 20 · 2021: 2
- FWCI
- 14.55
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Environmental Research Letters (publishedVersion, cc-by)
- e-space (Manchester Metropolitan University) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Science and Technology Facilities Council (submittedVersion, cc-by)
- Funders
- ACACIA (875036)
- European Union (Horizon 2020)
- UK Research and Innovation COVID urgency grant scheme (NE/V00946X/1)
- National Environmental Research Council (NE/L002612/1)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Advanced Aircraft Design and Technologies
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Physical Sciences › Environmental Science › Environmental Engineering › Maritime Transport Emissions and Efficiency
- Keywords
- aviation emissions, global warming, aviation climate impact, CO2 emissions, NOx emissions, contrail formation, COVID-19 impact on aviation, climate change mitigation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review