Since 1990, the wide range in model-based estimates of equilibrium climate warming has been attributed to disparate cloud responses to warming. However, major progress in our ability to understand, observe, and simulate clouds has led to the conclusion that global cloud feedback is likely positive.
This is a preview of subscription content, access via your institution
Relevant articles
Open Access articles citing this article.
-
Natural and continental influence on aerosol distributions over the northwestern Pacific Ocean in the late winter and early spring of 2021
Progress in Earth and Planetary Science Open Access 01 September 2025
-
Robustness of the relationship between tropical high-cloud cover and large-scale circulations
Climate Dynamics Open Access 20 September 2024
-
Decreased cloud cover partially offsets the cooling effects of surface albedo change due to deforestation
Nature Communications Open Access 26 August 2024
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$32.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout



References
Loeb, N. G. et al. J. Clim. 22, 748–766 (2009).
Zelinka, M. D., Zhou, C. & Klein, S. A. Geophys. Res. Lett. 43, 9259–9269 (2016).
Charney, J. G. et al. Carbon Dioxide and Climate: A Scientific Assessment (National Academy of Sciences, 1979).
IPCC Climate Change: The IPCC Scientific Assessment (eds Houghton, J. T., Jenkins, G. J. & Ephraums, J. J.) (Cambridge Univ. Press, 1990).
IPCC Climate Change 1995: The Science of Climate Change (eds Houghton, J. T. et al.) (Cambridge Univ. Press, 1996).
IPCC Climate Change 2001: The Scientific Basis (eds Houghton, J. T. et al.) (Cambridge Univ. Press, 2001).
IPCC Climate Change 2007: The Physical Science Basis (eds Solomon, S. et al.) (Cambridge Univ. Press, 2007).
IPCC Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) (Cambridge Univ. Press, 2013).
Bretherton, C. S. Phil. Trans. R. Soc. A 373, 20140415 (2015).
Qu, X., Hall, A., Klein, S. A. & DeAngelis, A. M. Geophys. Res. Lett. 42, 7767–7775 (2015).
Mauritsen, T. & Stevens, B. Nat. Geosci. 8, 346–351 (2015).
Tan, I., Storelvmo, T. & Zelinka, M. D. Science 352, 224–227 (2016).
Andrews, T., Gregory, J. M. & Webb, M. J. J. Clim. 28, 1630–1648 (2015).
Zhou, C., Zelinka, M. D. & Klein, S. A. Nat. Geosci. 9, 871–874 (2016).
Gregory, J. M. & Andrews, T. Geophys. Res. Lett. 43, 3911–3920 (2016).
Armour, K. C. Nat. Clim. Change 7, 331–335 (2017).
Bony, S. et al. Nat. Geosci. 8, 261–268 (2015).
Webb, M. J. et al. Geoscientific Model Dev. 10, 359–384 (2017).
Geoffroy, O., Sherwood, S. C. & Fuchs, D. J. Adv. Model. Earth Syst. 9, 423–437 (2017).
Stubenrauch, C. J. et al. Bull. Am. Meteorol. Soc. 94, 1031–1049 (2013).
Marvel, K. et al. J. Clim. 28, 4820–4840 (2015).
Bony, S. et al. Surv. Geophys. http://dx.doi.org/10.1007/s10712-017-9428-0 (2017).
Marchand, R. et al. The Southern Ocean Clouds, Radiation, Aerosol Transport Experimental Study (2014).
Vial, J., Bony, S., Stevens, B. & Vogel, R. Surveys Geophys. http://doi.org/ccx4 (2017).
Bodas-Salcedo, A., Andrews, T., Karmalkar, A. V. & Ringer, M. A. Geophys. Res. Lett. 43, 10938–10946 (2016).
Acknowledgements
The work of M.D.Z. and S.A.K. is supported by the Regional and Global Climate Modeling Program of the Office of Science of the US Department of Energy (DOE) and was performed under the auspices of the US DOE by LLNL under contract DE-AC52-07NA27344. D.A.R. was supported by the National Science Foundation under Grant AGS-1538532 to Colorado State University. M.J.W. is supported by the Joint UK BEIS/Defra Met Office Hadley Centre Climate Programme (GA01101). We acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modelling groups for producing and making available their model output. For CMIP, the US DOE's Program for Climate Model Diagnosis and Intercomparison provided coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals. We thank D. S. Linehan, S. Po-Chedley, B. D. Santer, and K. E. Taylor for stimulating discussions and comments on an earlier version of this Commentary.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Zelinka, M., Randall, D., Webb, M. et al. Clearing clouds of uncertainty. Nature Clim Change 7, 674–678 (2017). https://doi.org/10.1038/nclimate3402
Published:
Issue date:
DOI: https://doi.org/10.1038/nclimate3402
This article is cited by
-
Natural and continental influence on aerosol distributions over the northwestern Pacific Ocean in the late winter and early spring of 2021
Progress in Earth and Planetary Science (2025)
-
Trends in Arctic summer cloud variability from 2000 to 2022 and the potential causes
Science China Earth Sciences (2025)
-
Decreased cloud cover partially offsets the cooling effects of surface albedo change due to deforestation
Nature Communications (2024)
-
Optical and Radiative Characteristics of the Lower Part of Cirrus Clouds Over a Rain Shadow Region in South Peninsular India
Pure and Applied Geophysics (2024)
-
Robustness of the relationship between tropical high-cloud cover and large-scale circulations
Climate Dynamics (2024)