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.

  • Letter
  • Published:

Future population exposure to US heat extremes

Abstract

Extreme heat events are likely to become more frequent in the coming decades owing to climate change1,2. Exposure to extreme heat depends not only on changing climate, but also on changes in the size and spatial distribution of the human population. Here we provide a new projection of population exposure to extreme heat for the continental United States that takes into account both of these factors. Using projections from a suite of regional climate models driven by global climate models and forced with the SRES A2 scenario3 and a spatially explicit population projection consistent with the socioeconomic assumptions of that scenario, we project changes in exposure into the latter half of the twenty-first century. We find that US population exposure to extreme heat increases four- to sixfold over observed levels in the late twentieth century, and that changes in population are as important as changes in climate in driving this outcome. Aggregate population growth, as well as redistribution of the population across larger US regions, strongly affects outcomes whereas smaller-scale spatial patterns of population change have smaller effects. The relative importance of population and climate as drivers of exposure varies across regions of the country.

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

Figure 1: Aggregate exposure for the continental US in the base period and projected change in exposure for each of the 11 climate models.
Figure 2: Aggregate exposure in the base period and projected change in exposure (both as ensemble means) for each of the nine US census divisions.
Figure 3: Projected changes under the A2 scenario; 1971–2000 to 2041–2070.
Figure 4: Decomposition of aggregate national-level projected change in exposure (ensemble mean).

Similar content being viewed by others

References

  1. Collins, M. R. et al. in Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) Ch. 12 (IPCC, Cambridge Univ. Press, 2013).

    Google Scholar 

  2. Walsh, J. D. et al. Climate Change Impacts in the United States: The Third National Climate Assessment Ch. 2, 19–67 (US Global Change Research Program, 2014).

    Book  Google Scholar 

  3. Nakicenovic, N. et al. IPCC Special Report on Emissions Scenarios (Cambridge Univ. Press, 2010).

    Google Scholar 

  4. Cardona, O. D. et al. in Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (eds Field, C. B. et al.) Ch. 2 (IPCC, Cambridge Univ. Press, 2012).

    Google Scholar 

  5. IPCC Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) (Cambridge Univ. Press, 2013).

    Google Scholar 

  6. Luber, G. K. et al. Climate Change Impacts in the United States: The Third National Climate Assessment Ch. 9, 220–256 (US Global Change Research Program, 2014).

    Google Scholar 

  7. van Vuuren, D. et al. A new scenario framework for Climate Change Research: Scenario matrix architecture. Climatic Change 122, 373–386 (2014).

    Article  Google Scholar 

  8. Luber, G. & McGeehin, M. Climate change and extreme heat events. Am. J. Prev. Med. 35, 429–435 (2008).

    Article  Google Scholar 

  9. Climate Change and Extreme Heat Events (CDC, 2012); http://www.cdc.gov/climateandhealth/pubs/ClimateChangeandExtremeHeatEvents.pdf

  10. Duffy, P. B. & Tebaldi, C. Increasing prevalence of extreme summer temperatures in the U.S. Climatic Change 111, 487–495 (2012).

    Article  Google Scholar 

  11. Kharin, V. V., Zwiers, F. W., Zhang, X. & Wehner, M. Changes in temperature and precipitation extremes in the CMIP5 ensemble. Climatic Change 119, 345–357 (2013).

    Article  Google Scholar 

  12. Anderson, B. G. & Bell, M. L. Weather-related mortality: How heat, cold, and heat waves affect mortality in the United States. Epidemiology 20, 205–213 (2009).

    Article  Google Scholar 

  13. Kovats, R. S. & Hajat, S. Heat stress and public health: A critical review. Annu. Rev. Public Health 29, 41–55 (2008).

    Article  Google Scholar 

  14. McGeehin, M. A. & Mirabelli, M. The potential impacts of climate variability and change on temperature-related morbidity and mortality in the United States. Environ. Health Perspect. 109, 185–189 (2001).

    Google Scholar 

  15. Moss, R. P. L. et al. Climate Change Impacts in the United States: The Third National Climate Assessment Ch. 26, 620–647 (US Global Change Research Program, 2014).

    Google Scholar 

  16. Bouwer, L. M. Projections of future extreme weather losses under changes in climate and exposure. Risk Anal. 33, 915–930 (2013).

    Article  Google Scholar 

  17. Vorhees, S. A. et al. Climate change-related temperature impacts on warm season heat mortality: A proof-of-concept methodology using BenMAP. Environ. Sci. Technol. 45, 1450–1457 (2011).

    Article  Google Scholar 

  18. Corell, R. W. et al. Climate Change Impacts in the United States: The Third National Climate Assessment Ch. 29, 707–718 (US Global Change Research Program, 2014).

    Google Scholar 

  19. Jones, B. & O’Neill, B. C. Historically grounded spatial population projections for the continental United States. Environ. Res. Lett. 8, 044021 (2013).

    Article  Google Scholar 

  20. Barnett, A. G., Tong, S. & Clements, A. C. A. What measure of temperature is the best predictor of mortality? Environ. Res. 110, 604–611 (2010).

    Article  CAS  Google Scholar 

  21. Gasparrini, A. & Armstrong, B. The impact of heat waves on mortality. Epidemiology 22, 68–73 (2012).

    Article  Google Scholar 

  22. Knowlton, K. et al. Projecting heat-related mortality impacts under a changing climate in the New York City region. Am. J. Public Health 97, 2028–2034 (2007).

    Article  Google Scholar 

  23. Wilder, M. G. et al. in Assessment of Climate Change in the Southwest United States: A Report Prepared for the National Climate Assessment (eds Garfin, G., Jardine, A., Merideth, R., Black, M. & LeRoy, S.) 340–384 (Island Press, 2013).

    Book  Google Scholar 

  24. Oleson, K. W., Bonan, G. B., Feddema, J. & Jackson, T. An examination of urban heat island characteristics in a global climate model. Int. J. Clim. 31, 1848–1865 (2011).

    Article  Google Scholar 

  25. DiLuca, A. et al. Potential for added value in present temperature simulated by high-resolution nested RCMs in climate and in the climate change signal. Clim. Dynam. 40, 443–464 (2013).

    Article  Google Scholar 

  26. Mearns, L. O. et al. Climate change projections of the North American Regional Climate Change Assessment Program (NARCCAP). Climatic Change 120, 965–975 (2013).

    Article  Google Scholar 

  27. Mearns, L. O. et al. A regional climate change assessment program for North America. Eos 90, 311–312 (2009).

    Article  Google Scholar 

  28. Mearns, L. O. et al. The North American Regional Climate Change Assessment Program 2014–02-06 (National Center for Atmospheric Research Earth System, accessed 6 February 2014); http://dx.doi.org/10.5065/D6RN35ST

  29. McGinnis, S., Nychka, D. & Mearns, L. O. in Machine Learning and Data Mining Approaches to Climate Science: Proc. 4th Int. Workshop on Climate Informatics (eds Lakshmanan, V., Gilleland, E., McGovern, A. & Tingley, M.) (Springer, in the press); http://go.nature.com/IjDyt6

  30. Maurer, E. P., Wood, A. W., Adam, J. C., Lettenmaier, D. P. & Nijssen, B. A long-term hydrologically-based data set of land surface fluxes and states for the conterminous United States. J. Clim. 15, 3237–3251 (2002).

    Article  Google Scholar 

Download references

Acknowledgements

The contributions of B.J. and B.C.O’N. to this work were supported in part by the DOE Office of Science program on Integrated Assessment of Global Climate Change, award DE-SC0006704. The contributions of L.M. and S.M. were supported in part by the National Science Foundation through the NCAR Weather and Climate Impacts Assessment Science Program. C.T. was supported by the Regional and Global Climate Modeling Program (RGCM) of the US Department of Energy’s, Office of Science (BER), Cooperative Agreement DE-FC02-97ER62402.

Author information

Authors and Affiliations

Authors

Contributions

B.J. produced the spatial population projections and the projections of exposure, contributed to methodological design, and wrote the paper. B.C.O’N. contributed significantly to methodological design and editing the paper. L.O.M. leads the NARCCAP team, of which L.M. and S.M. are members. All three provided climate model output, methodological guidance, and contributed to editing the paper. C.T. contributed to methodological design and editing the paper.

Corresponding author

Correspondence to Bryan Jones.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jones, B., O’Neill, B., McDaniel, L. et al. Future population exposure to US heat extremes. Nature Clim Change 5, 652–655 (2015). https://doi.org/10.1038/nclimate2631

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nclimate2631

This article is cited by

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