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Publication Additional Information Download
Publication Type
Journal Article
Authorship
Rajulapati, C. R., Abdelmoaty, H. M., Nerantzaki, S. D., & Papalexiou, S. M.
Title
Changes in the risk of extreme temperatures in megacities worldwide
Year
2022
Publication Outlet
Climate Risk Management, 36, 100433
DOI
https://doi.org/10.1016/j.crm.2022.100433
Citation
Rajulapati, C. R., Abdelmoaty, H. M., Nerantzaki, S. D., & Papalexiou, S. M. (2022). Changes in the risk of extreme temperatures in megacities worldwide. Climate Risk Management, 36, 100433. https://doi.org/10.1016/j.crm.2022.100433
Abstract
Globally, extreme temperatures have severe impacts on the economy, human health, food and water security, and ecosystems. Mortality rates have been increased due to heatwaves in several regions. Specifically, megacities have high impacts with the increasing temperature and ever-expanding urban areas; it is important to understand extreme temperature changes in terms of duration, magnitude, and frequency for future risk management and disaster mitigation. Here we framed a novel Semi-Parametric quantile mapping method to bias-correct the CMIP6 minimum and maximum temperature projections for 199 megacities worldwide. The changes in maximum and minimum temperature are quantified in terms of climate indices (ETCCDI and HDWI) for the four Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). Cities in northern Asia and northern North America (Kazan, Samara, Heihe, Montréal, Edmonton, and Moscow) are warming at a higher rate compared to the other regions. There is an increasing and decreasing trend for the warm and cold extremes respectively. Heatwaves increase exponentially in the future with the increase in warming, that is, from SSP1-2.6 to SSP5-8.5. Among the CMIP6 models, a huge variability is observed, and this further increases as the warming increases. All climate indices have steep slopes for the far future (2066–2100) compared to the near future (2031–2065). Yet the variability among CMIP6 models in near future is high compared to the far future for cold indices.
Program Affiliations
GWF: Global Water Futures
Project Affiliations
GWF-IMPC: Integrated Modelling Program for Canada
Publication Stage
Published
Additional Information
Papalexiou, Simon-Michael , Refereed Publications
Download Links
https://doi.org/10.1016/j.crm.2022.100433
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