Satellite-based analysis indicates that the relative change in cloud droplet number concentration with relative change in aerosol concentration is sublinear, contrary to common assumptions. The revised nonlinear method predicts that in heavily polluted regions the additional warming due to improvements in air quality will occur two to three decades later than predicted by the linear method.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Szopa, S. et al. in Climate Change 2021: The Physical Science Basis (eds Masson-Delmotte, V. et al.) Ch. 6 (Cambridge Univ. Press, 2021). This report summarizes short-lived climate forcers and their climate effects.
Samset, B. H. et al. Climate impacts from a removal of anthropogenic aerosol emissions. Geophys. Res. Lett. 45, 1020–1029 (2018). This paper examines increases in global mean surface temperature and precipitation after removing anthropogenic aerosol emissions.
Bellouin, N. et al. Bounding global aerosol radiative forcing of climate change. Rev. Geophys. 58, e2019RG000660 (2020). A review article that provides a range of aerosol radiative forcing based on multiple lines of evidence, including modelling approaches, theoretical considerations and observations.
Jia, H., Quaas, J., Gryspeerdt, E., Böhm, C. & Sourdeval, O. Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations. Atmos. Chem. Phys. 22, 7353–7372 (2022). This paper examines factors that influence the quantification of the sensitivity of cloud droplet number to aerosol using satellite observations.
Golaz, J.-C. et al. The DOE E3SM Model version 2: overview of the physical model and initial model evaluation. J. Adv. Model. Earth Syst. 14, e2022MS003156 (2022). This research paper shows that the Energy Exascale Earth System Model version 2 (E3SMv2) underestimates the global mean temperature in the second half of the historical temperature record.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This is a summary of: Jia, H. & Quaas, J. Nonlinearity of the cloud response postpones climate penalty of mitigating air pollution in polluted regions. Nat. Clim. Change https://doi.org/10.1038/s41558-023-01775-5 (2023).
Rights and permissions
About this article
Cite this article
A nonlinear cloud response delays the warming effect of aerosol reductions. Nat. Clim. Chang. 13, 901–902 (2023). https://doi.org/10.1038/s41558-023-01783-5
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41558-023-01783-5