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Projections of seasonal patterns in temperature- related deaths for Manhattan, New York

Abstract

Global average temperatures have been rising for the past half-century, and the warming trend has accelerated in recent decades1. Further warming is expected over the next few decades, with significant regional variations. These warming trends will probably result in more frequent, intense and persistent periods of hot temperatures in summer, and generally higher temperatures in winter. Daily death counts in cities increase markedly when temperatures reach levels that are very high relative to what is normal in a given location2,3,4. Relatively cold temperatures also seem to carry risk2,4. Rising temperatures may result in more heat-related mortality but may also reduce cold-related mortality, and the net impact on annual mortality remains uncertain. Here we use 16 downscaled global climate models and two emissions scenarios to estimate present and future seasonal patterns in temperature-related mortality in Manhattan, New York. All 32 projections yielded warm-season increases and cold-season decreases in temperature-related mortality, with positive net annual temperature-related deaths in all cases. Monthly analyses showed that the largest percentage increases may occur in May and September. These results suggest that, over a range of models and scenarios of future greenhouse gas emissions, increases in heat-related mortality could outweigh reductions in cold-related mortality, with shifting seasonal patterns.

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Figure 1: Exposure–response curve for temperature-related mortality.
Figure 2: Distribution of heat-related, cold-related and net annual temperature-related deaths in the 1980s, 2020s, 2050s and 2080s for 16 climate models and the A2 and B1 greenhouse gas scenarios.
Figure 3: Percentage change (average over 16 models) in monthly temperature-related deaths in the 2080s versus the 1980s for the A2 scenario.

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References

  1. IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability (eds Parry, M. et al.) (Cambridge Univ. Press, 2007).

  2. Curriero, F. C. et al. Temperature and mortality in 11 cities of the Eastern United States. Am. J. Epidemiol. 155, 80–87 (2002).

    Article  Google Scholar 

  3. McMichael, A. J. et al. International study of temperature, heat and urban mortality: The ‘ISOTHURM’ project. Int. J. Epidemiol. 37, 1121–1131 (2008).

    Article  Google Scholar 

  4. 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 

  5. Rosenzweig, C. et al. Responding to climate change in new york state: The climAID integrated assessment for effective climate change adaptation in New York State. Ann. NY Acad. Sci. 1244, 2–649 (2011).

    Article  Google Scholar 

  6. Horton, R. M. et al. Climate hazard assessment for stakeholder adaptation planning in New York City. J. Appl. Meteorol. Climatol. 50, 2247–2266 (2011).

    Article  Google Scholar 

  7. Rosenzweig, C. & Solecki, W. D. Climate Change and A Global City: The Potential Consequences of Climate Variability and Change: Metro East Coast: Executive Summary and Recommendations (Columbia Earth Institute, 2001).

    Google Scholar 

  8. PlaNYC: A Greener, Greater New York (City of New York, 2007).

  9. Dessai, S. Heat stress and mortality in Lisbon Part II. An assessment of the potential impacts of climate change. Int. J. Biometeorol. 48, 37–44 (2003).

    Article  Google Scholar 

  10. Peng, R. D., Bobb, J. F., Tebaldi, C., McDaniel, L., Bell, M. L. & Dominici, F. Toward a quantitative estimate of future heat wave mortality under global climate change. Environ. Health Perspect. 119, 701–706 (2011).

    Article  Google Scholar 

  11. Knowlton, K. et al. Projecting Heat-related mortality impacts under a changing climate in the New York city region. Am. J. Publ. Health 97, 2028–2034 (2007).

    Article  Google Scholar 

  12. Gosling, S. N., McGregor, G. R. & Lowe, J. A. Climate change and heat-related mortality in six cities Part 2: Climate model evaluation, sensitivity analysis, and estimation of future impacts. Int. J. Biometeorol. 53, 31–51 (2009).

    Article  Google Scholar 

  13. Sheridan, S. C. et al. Future heat vulnerability in California, Part II: Projecting future heat-related mortality. Climatic Change 115, 311–325 (2012).

    Article  Google Scholar 

  14. Ostro, B. et al. The impact of future summer temperature on public health in Barcelona and Catalonia, Spain. Int. J. Biometeorol. 56, 1135–1144 (2012).

    Article  Google Scholar 

  15. Langford, I. H. & Bentham, G. The potential effects of climate change on winter mortality in England and Wales. Int. J. Biometeorol. 38, 141–147 (1995).

    Article  CAS  Google Scholar 

  16. Doyon, B., Bélanger, D. & Gosselin, P. The potential impact of climate change on annual and seasonal mortality for three cities in Québec, Canada. Int. J. Health Geogr. 7, 23 (2008).

    Article  Google Scholar 

  17. Huang, C et al. The impact of temperature on years of life lost in Brisbane, Australia. Nature Clim. Change 2, 265–70 (2012).

    Article  Google Scholar 

  18. Kalkstein, L. S. & Greene, J. S. An evaluation of climate/mortality relationships in large US cities and the possible impacts of a climate change. Environ. Health Perspect. 105, 84–93 (1997).

    Article  CAS  Google Scholar 

  19. Donaldson, G. C. et al. Heat- and Cold-related Mortality and Morbidity and Climate Change. Health Effects of Climate Change in the UK (Department of Health, 2001).

  20. Guest, C. S. et al. Climate and mortality in Australia: Retrospective study, 1979–1990, and predicted impacts in five major cities in 2030. Clim. Res. 13, 1–15 (1999).

    Article  Google Scholar 

  21. Hayashi, A. et al. Evaluation of global warming impacts for different levels of stabilization as a step toward determination of the long-term stabilization target. Climatic Change 98, 87–112 (2010).

    Article  CAS  Google Scholar 

  22. Martin, S. L. et al. Climate change and future temperature-related mortality in 15 Canadian cities. Int. J. Biometeorol. 56, 605–619 (2012).

    Article  Google Scholar 

  23. Barnett, A. G. Temperature and cardiovascular deaths in the US elderly: Changes over time. Epidemiology 18, 369–372 (2007).

    Article  Google Scholar 

  24. Kalkstein, L. S. & Davis, R. E. Weather and human mortality: An evaluation of demographic and interregional responses in the United States. Ann. Assoc. Am. Geogr. 79, 44–64 (1989).

    Article  Google Scholar 

  25. Gasparrini, A., Armstrong, B. & Kenward, M. G. Distributed lag non-linear models. Stat. Med. 29, 2224–2234 (2010).

    Article  CAS  Google Scholar 

  26. Guo, Y. et al. The impact of temperature on mortality in Tianjin, China: A case-crossover design with a distributed lag non-linear model. Environ. Health Perspect. 119, 1719–1725 (2011).

    Article  Google Scholar 

  27. IPCC Special Report on Emissions Scenarios (eds Nakicenovic, N. & Swart, R.) (Cambridge Univ. Press, 2000).

  28. Maurer, E. P., Brekke, L., Pruitt, T. & Duffy, P. B. Fine-resolution climate projections enhance regional climate change impact studies. Eos. Trans. AGU 88, 504–504 (2007).

    Article  Google Scholar 

  29. Grotch, S. L. & MacCracken, M. C. The use of general circulation models to predict regional climatic change. J. Clim. 4, 286–303 (1991).

    Article  Google Scholar 

  30. Ballester, J et al. Changes in European temperature extremes can be predicted from changes in PDF central statistics. Climatic Change 98, 277–284 (2010).

    Article  Google Scholar 

Download references

Acknowledgements

T.L. was supported by the National Natural Science Foundation of China (Project Number: 21277135, 40905069; 41110104015). R.M.H. and P.K. were supported by grant #NA10OAR4310212 from the US National Oceanic and Atmospheric Administration. P.K. was also supported by grant #P30 ES09089 from the US National Institute of Environmental Health Sciences. D. Bader assisted with technical aspects of the downscaling.

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T.L. and P.K. contributed to the research design, data analysis and paper writing; R.M.H. designed and led the temperature downscaling work.

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Correspondence to Patrick L. Kinney.

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The authors declare no competing financial interests.

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Li, T., Horton, R. & Kinney, P. Projections of seasonal patterns in temperature- related deaths for Manhattan, New York. Nature Clim Change 3, 717–721 (2013). https://doi.org/10.1038/nclimate1902

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