Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Research Briefing
  • Published:

Reducing uncertainty in simulated increases in heavy rainfall occurrence

Climate change is causing more frequent and intense precipitation extremes; however, these changes are difficult to project. This paper shows that observations of the increased frequency of extreme precipitation events over the past four decades can be used to reduce uncertainty in future climate model projections by 20–40%.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Emergent constraint on the frequency of extreme precipitation events in the future.

References

  1. IPCC Climate Change 2021: The Physical Science Basis (eds Masson-Delmotte, V. P. et al.) (Cambridge Univ. Press, 2021). The latest IPCC report documents various ways in which precipitation is changing and how it will change in the future.

  2. Fischer, E. M. & Knutti, R. Observed heavy precipitation increase confirms theory and early models. Nat. Clim. Change 6, 986–991 (2016). An article showing that detectable changes in heavy precipitation have begun to emerge in observational datasets.

    Article  Google Scholar 

  3. Kotz, M., Levermann, A. & Wenz, L. The effect of rainfall changes on economic production. Nature 601, 223–227 (2022). An article that measures the economic impact of changing precipitation characteristics.

    Article  CAS  Google Scholar 

  4. Williamson, M. S. et al. Emergent constraints on climate sensitivities. Rev. Mod. Phys. 93, 025004 (2021). A review article that discusses the emergent constraint approach and its applications across climate science.

    Article  CAS  Google Scholar 

  5. Sun, Q. et al. A review of global precipitation data sets: data sources, estimation, and intercomparisons. Rev. Geophys. 56, 79–107 (2018). A review article that documents the variety of methods for observing global precipitation and their associated uncertainties.

    Article  Google Scholar 

Download references

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: Thackeray, C. W. et al. Constraining the increased frequency of global precipitation extremes under warming. Nat. Clim. Change https://doi.org/10.1038/s41558-022-01329-1 (2022).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Reducing uncertainty in simulated increases in heavy rainfall occurrence. Nat. Clim. Chang. 12, 424–425 (2022). https://doi.org/10.1038/s41558-022-01338-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41558-022-01338-0

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing