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      Rapid increase in the risk of heat-related mortality

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          Abstract

          Heat-related mortality has been identified as one of the key climate extremes posing a risk to human health. Current research focuses largely on how heat mortality increases with mean global temperature rise, but it is unclear how much climate change will increase the frequency and severity of extreme summer seasons with high impact on human health. In this probabilistic analysis, we combined empirical heat-mortality relationships for 748 locations from 47 countries with climate model large ensemble data to identify probable past and future highly impactful summer seasons. Across most locations, heat mortality counts of a 1-in-100 year season in the climate of 2000 would be expected once every ten to twenty years in the climate of 2020. These return periods are projected to further shorten under warming levels of 1.5 °C and 2 °C, where heat-mortality extremes of the past climate will eventually become commonplace if no adaptation occurs. Our findings highlight the urgent need for strong mitigation and adaptation to reduce impacts on human lives.

          Abstract

          The risk of heat-mortality is increasing sharply. The authors report that heat-mortality levels of a 1-in-100-year summer in the climate of 2000 can be expected once every ten to twenty years in the current climate and at least once in five years with 2 °C of global warming.

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          World Map of the Köppen-Geiger climate classification updated

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            The energetic basis of the urban heat island

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              The next generation of scenarios for climate change research and assessment.

              Advances in the science and observation of climate change are providing a clearer understanding of the inherent variability of Earth's climate system and its likely response to human and natural influences. The implications of climate change for the environment and society will depend not only on the response of the Earth system to changes in radiative forcings, but also on how humankind responds through changes in technology, economies, lifestyle and policy. Extensive uncertainties exist in future forcings of and responses to climate change, necessitating the use of scenarios of the future to explore the potential consequences of different response options. To date, such scenarios have not adequately examined crucial possibilities, such as climate change mitigation and adaptation, and have relied on research processes that slowed the exchange of information among physical, biological and social scientists. Here we describe a new process for creating plausible scenarios to investigate some of the most challenging and important questions about climate change confronting the global community.
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                Author and article information

                Contributors
                samuel.luethi@usys.ethz.ch
                anamaria.vicedo@ispm.unibe.ch
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                24 August 2023
                24 August 2023
                2023
                : 14
                : 4894
                Affiliations
                [1 ]GRID grid.5801.c, ISNI 0000 0001 2156 2780, Institute for Environmental Decisions, , ETH Zurich, ; Zurich, Switzerland
                [2 ]GRID grid.469494.2, ISNI 0000 0001 2034 3615, Federal Office of Meteorology and Climatology MeteoSwiss, ; Zurich, Switzerland
                [3 ]GRID grid.5801.c, ISNI 0000 0001 2156 2780, Institute for Atmospheric and Climate Science, , ETH Zurich, ; Zurich, Switzerland
                [4 ]GRID grid.189967.8, ISNI 0000 0001 0941 6502, Gangarosa Department of Environmental Health. Rollins School of Public Health, , Emory University, ; Atlanta, GA USA
                [5 ]GRID grid.8991.9, ISNI 0000 0004 0425 469X, Department of Public Health Environments and Society, , London School of Hygiene & Tropical Medicine, ; London, UK
                [6 ]GRID grid.11899.38, ISNI 0000 0004 1937 0722, Department of Pathology, Faculty of Medicine, , University of São Paulo, ; São Paulo, Brazil
                [7 ]GRID grid.19188.39, ISNI 0000 0004 0546 0241, Environmental and Occupational Medicine, , National Taiwan University (NTU) College of Medicine and NTU Hospital, ; Taipei, Taiwan
                [8 ]GRID grid.59784.37, ISNI 0000000406229172, National Institute of Environmental Health Science, , National Health Research Institutes, ; Zhunan, Taiwan
                [9 ]GRID grid.19188.39, ISNI 0000 0004 0546 0241, Graduate Institute of Environmental and Occupational Health Sciences, , NTU College of Public Health, ; Taipei, Taiwan
                [10 ]GRID grid.1002.3, ISNI 0000 0004 1936 7857, Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, , Monash University, ; Melbourne, Australia
                [11 ]GRID grid.140139.e, ISNI 0000 0001 0746 5933, Center for Climate Change Adaptation, , National Institute for Environmental Studies, ; Tsukuba, Japan
                [12 ]GRID grid.5252.0, ISNI 0000 0004 1936 973X, IBE-Chair of Epidemiology, LMU Munich, ; Munich, Germany
                [13 ]GRID grid.15449.3d, ISNI 0000 0001 2200 2355, Department of Physical, Chemical and Natural Systems, , Universidad Pablo de Olavide, ; Sevilla, Spain
                [14 ]GRID grid.418095.1, ISNI 0000 0001 1015 3316, Institute of Atmospheric Physics, , Czech Academy of Sciences, ; Prague, Czech Republic
                [15 ]GRID grid.15866.3c, ISNI 0000 0001 2238 631X, Faculty of Environmental Sciences, , Czech University of Life Sciences, ; Prague, Czech Republic
                [16 ]GRID grid.28046.38, ISNI 0000 0001 2182 2255, School of Epidemiology & Public Health, Faculty of Medicine, , University of Ottawa, ; Ottawa, ON Canada
                [17 ]GRID grid.57544.37, ISNI 0000 0001 2110 2143, Environmental Health Science and Research Bureau, , Health Canada, ; Ottawa, ON Canada
                [18 ]GRID grid.466571.7, ISNI 0000 0004 1756 6246, CIBER of Epidemiology and Public Health, ; Madrid, Spain
                [19 ]GRID grid.10858.34, ISNI 0000 0001 0941 4873, Center for Environmental and Respiratory Health Research (CERH), , University of Oulu, ; Oulu, Finland
                [20 ]GRID grid.422270.1, ISNI 0000 0001 2287 695X, Department of Epidemiology, , Instituto Nacional de Saúde Dr. Ricardo Jorge, ; Lisbon, Portugal
                [21 ]GRID grid.8991.9, ISNI 0000 0004 0425 469X, Centre for Statistical Methodology, , London School of Hygiene & Tropical Medicine, ; London, UK
                [22 ]GRID grid.8991.9, ISNI 0000 0004 0425 469X, Centre on Climate Change & Planetary Health, , London School of Hygiene & Tropical Medicine, ; London, UK
                [23 ]GRID grid.5734.5, ISNI 0000 0001 0726 5157, Institute of Social and Preventive Medicine, , University of Bern, ; Bern, Switzerland
                [24 ]GRID grid.5734.5, ISNI 0000 0001 0726 5157, Oeschger Center for Climate Change Research, , University of Bern, ; Bern, Switzerland
                Author information
                http://orcid.org/0000-0003-2884-3467
                http://orcid.org/0000-0003-1931-6737
                http://orcid.org/0000-0003-1410-3337
                http://orcid.org/0000-0003-4407-0409
                http://orcid.org/0000-0002-9732-1278
                http://orcid.org/0000-0002-8530-4809
                http://orcid.org/0000-0002-1766-6592
                http://orcid.org/0000-0001-9633-2752
                http://orcid.org/0000-0002-5516-6396
                http://orcid.org/0000-0001-5357-1251
                http://orcid.org/0000-0003-2524-0548
                http://orcid.org/0000-0002-2271-3568
                http://orcid.org/0000-0002-8431-4263
                http://orcid.org/0000-0001-6982-8867
                Article
                40599
                10.1038/s41467-023-40599-x
                10449849
                37620329
                ca3ebb7b-b624-4f10-83ae-110544ebd23f
                © Springer Nature Limited 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 7 November 2022
                : 2 August 2023
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                © Springer Nature Limited 2023

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                environmental health,projection and prediction
                Uncategorized
                environmental health, projection and prediction

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