Climate change may bring new hazards through novel combinations of extreme weather (compound events)1. Here we evaluate the possibility of dangerous heat following major tropical cyclones (TCs)—a combination with serious potential consequences given that mega-blackouts may follow powerful TCs2, and the heavy reliance on air conditioning3. We show that ‘TC–heat’ events are already possible along densely populated coastlines globally but, to date, only an estimated 1,000 people have been impacted. However, this number could rise markedly with over two million at risk under a storyline of the observed TCs recurring in a world 2 °C warmer than pre-industrial times. Using analogues as focusing events we show, for example, that if the catastrophic 1991 Bangladesh cyclone occurred with 2 °C global warming, there would be >70% chance of subsequent dangerous heat. This research highlights a gap in adaptation planning and a need to prepare for an emerging TC–heat compound hazard.
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The data that support the findings of this study are available from the corresponding author upon request.
Zscheischler, J. et al. Future climate risk from compound events. Nat. Clim. Change 8, 469–477 (2018).
Houser, T. & Marsters, P. The World’s Second Largest Blackout (Rhodium Group, 2018); https://rhg.com/research/puerto-rico-hurricane-maria-worlds-second-largest-blackout/
Barreca, A., Clay, K., Deschenes, O., Greenstone, M. & Shapiro, J. S. Adapting to climate change: the remarkable decline in the U.S. temperature-mortality relationship over the twentieth century. J. Political Econ. 124, 105–159 (2016).
Mora, C. et al. Global risk of deadly heat. Nat. Clim. Change 7, 501–506 (2017).
Vicedo-Cabrera, A. M. et al. Temperature-related mortality impacts under and beyond Paris agreement climate change scenarios. Clim. Change 150, 391–402 (2018).
The Future of Cooling: Opportunities for Energy-efficient Air Conditioning (International Energy Agency, 2018).
Yu, J. et al. A comparison of the thermal adaptability of people accustomed to air-conditioned environments and naturally ventilated environments. Indoor Air 22, 110–118 (2012).
Abi-Samra, N., McConnach, J., Mukhopadhyay, S. & Wojszczyk, B. When the bough breaks: managing extreme weather events affecting electrical power grids. IEEE Power Energy Mag. 12, 61–65 (2014).
Hurricanes Maria and Irma November 20 Event Summary Report No. 78; 1–5 (US Department of Energy, Infrastructure Security & Energy Restoration, 2017).
Typhoon Bopha Situation Report No. 16 (UN Office for the Coordination of Humanitarian Affairs, 2013).
Emanuel, K. A. The maximum intensity of hurricanes. J. Atmos. Sci. 45, 1143–1155 (1988).
Hart, R. E., Maue, R. N. & Watson, M. C. Estimating local memory of tropical cyclones through MPI anomaly evolution. Mon. Weather Rev. 135, 3990–4005 (2007).
Sriver, R. L. & Huber, M. Observational evidence for an ocean heat pump induced by tropical cyclones. Nature 447, 577–580 (2007).
Matthews, T. K. R., Wilby, R. L. & Murphy, C. Communicating the deadly consequences of global warming for human heat stress. Proc. Natl Acad. Sci. USA 114, 3861–3866 (2017).
Beven, J. L. et al. Atlantic hurricane season of 2005. Mon. Weather Rev. 136, 1109–1173 (2008).
Morella, C. Power outages continue in Philippines following typhoon. UCA News (17 July 2014).
Guha-Sapir, D., Below, R. & Hoyois, P. The CRED/OFDA International Disaster Database (EM-DAT, accessed 9 August 2018); www.emdat.be
Albadra, D., Coley, D. & Hart, J. Toward healthy housing for the displaced. J. Archit. 23, 115–136 (2018).
McCarthy, P. Operation Sea Angel: A Case Study (US Army, 1994).
Hanna, E. G. & Tait, P. W. Limitations to thermoregulation and acclimatization challenge human adaptation to global warming. Int. J. Environ. Res. Public Health 12, 8034–8074 (2015).
Camargo, S. J. Global and regional aspects of tropical cyclone activity in the CMIP5 models. J. Climatol. 26, 9880–9902 (2013).
Dwyer, J. G. et al. Projected twenty-first-century changes in the length of the tropical cyclone season. J. Climatol. 28, 6181–6192 (2015).
Lewis, S. C. & King, A. D. Evolution of mean, variance and extremes in 21st century temperatures. Weather Clim. Extrem. 15, 1–10 (2017).
Byrne, M. P. & O’Gorman, P. A. Link between land-ocean warming contrast and surface relative humidities in simulations with coupled climate models. Geophys. Res. Lett. 40, 5223–5227 (2013).
Matthews, T. Humid heat and climate change. Prog. Phys. Geogr. 42, 391–405 (2018).
Haarsma, R. J. et al. High resolution model intercomparison project (HighResMIPv1.0) for CMIP6. Geosci. Model. 9, 4185–4208 (2016).
Lin, N. & Emanuel, K. Grey swan tropical cyclones. Nat. Clim. Change 6, 106–111 (2016).
Kang, N.-Y. & Elsner, J. B. Trade-off between intensity and frequency of global tropical cyclones. Nat. Clim. Change 5, 661–664 (2015).
Petkova Elisaveta, P. et al. Towards more comprehensive projections of urban heat-related mortality: estimates for New York City under multiple population, adaptation, and climate scenarios. Environ. Health Perspect. 125, 47–55 (2017).
Delworth, T. L., Mahlman, J. D. & Knutson, T. R. Changes in heat index associated with CO2-Induced global warming. Clim. Change 43, 369–386 (1999).
Diffenbaugh, N. S., Pal, J. S., Giorgi, F. & Gao, X. Heat stress intensification in the Mediterranean climate change hotspot. Geophys. Res. Lett. 34, L11706 (2007).
Zhao, Y., Ducharne, A., Sultan, B., Braconnot, P. & Vautard, R. Estimating heat stress from climate-based indicators: present-day biases and future spreads in the CMIP5 global climate model ensemble. Environ. Res. Lett. 10, 084013 (2015).
Anderson, G. B., Bell, M. L. & Peng, R. D. Methods to calculate the heat index as an exposure metric in environmental health research. Environ. Health Perspect. 121, 1111–1119 (2013).
Weedon Graham, P. et al. The WFDEI meteorological forcing data set: WATCH forcing data methodology applied to ERA-Interim reanalysis data. Water Resour. Res. 50, 7505–7514 (2014).
Dee, D. P. et al. The ERA-Interim reanalysis: configuration and performance of the data assimilation system. QJR Meteorol. Soc. 137, 553–597 (2011).
Rye, C. J., Arnold, N. S., Willis, I. C. & Kohler, J. Modeling the surface mass balance of a high Arctic glacier using the ERA-40 reanalysis. J. Geophys. Res. Earth Surf. 115, F02014 (2010).
Kantha, L. Time to replace the Saffir-Simpson hurricane scale? EOS Trans. Am. Geophys. Union 87, 3–6 (2006).
International Best Track Archive for Climate Stewardship (IBTrACS) Technical Documentation (BTrACS Science Team, 2018).
Gridded Population of the World, Version 4 (GPWv4): Population Count Adjusted to Match 2015 Revision of UN WPP Country Totals, Revision 10 (Center for International Earth Science Information Network, Columbia University, 2017); http://sedac.ciesin.columbia.edu/data/set/gpw-v4-population-count-adjusted-to-2015-unwpp-country-totals-rev10/metadata
Morice, C. P., Kennedy, J. J., Rayner, N. A. & Jones, P. D. Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: the HadCRUT4 data set. J. Geophys. Res. Atmos. 117, D08101 (2012).
Hansen, J., Ruedy, R., Sato, M. & Lo, K. Global surface temperature change. Rev. Geophys. 48, (2010).
Muller, R. A. et al. A new estimate of the average earth surface land temperature spanning 1753 to 2011. Geoinform. Geostat. https://doi.org/10.4172/2327-4581.1000101 (2013).
Willett, K. M. & Sherwood, S. Exceedance of heat index thresholds for 15 regions under a warming climate using the wet-bulb globe temperature. Int. J. Climatol. 32, 161–177 (2012).
Murakami, H. et al. Simulation and prediction of category 4 and 5 hurricanes in the high-resolution GFDL HiFLOR coupled climate model. J. Clim. 28, 9058–9079 (2015).
Wilks, D. S. Statistical Methods in the Atmospheric Sciences (Academic Press, 2011).
Glantz, M. H. The use of analogies: in forecasting ecological and societal responses to global warming. Environ. Sci. Policy Sustain. Dev. 33, 10–33 (1991).
Matthews, T., Mullan, D., Wilby, R. L., Broderick, C. & Murphy, C. Past and future climate change in the context of memorable seasonal extremes. Clim. Risk Manag. 11, 37–52 (2016).
The authors thank M. Foote for discussion on the TC–heat hazard before TCs make landfall.
The authors declare no competing interests.
Peer review information: Nature Climate Change thanks Ning Lin, Jakob Zscheischler and the other anonymous reviewer(s) for their contribution to the peer review of this work.
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Matthews, T., Wilby, R.L. & Murphy, C. An emerging tropical cyclone–deadly heat compound hazard. Nat. Clim. Chang. 9, 602–606 (2019). https://doi.org/10.1038/s41558-019-0525-6
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