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dc.contributor.authorBathiany, S
dc.contributor.authorDakos, V
dc.contributor.authorScheffer, M
dc.contributor.authorLenton, TM
dc.date.accessioned2019-10-15T08:56:29Z
dc.date.issued2018-05-02
dc.description.abstractExtreme events such as heat waves are among the most challenging aspects of climate change for societies. We show that climate models consistently project increases in temperature variability in tropical countries over the coming decades, with the Amazon as a particular hotspot of concern. During the season with maximum insolation, temperature variability increases by ∼15% per degree of global warming in Amazonia and Southern Africa and by up to 10%°C-1in the Sahel, India, and Southeast Asia. Mechanisms include drying soils and shifts in atmospheric structure. Outside the tropics, temperature variability is projected to decrease on average because of a reduced meridional temperature gradient and sea-ice loss. The countries that have contributed least to climate change, and are most vulnerable to extreme events, are projected to experience the strongest increase in variability. These changes would therefore amplify the inequality associated with the impacts of a changing climate.en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.description.sponsorshipEuropean Union Seventh Framework Programme FP7/2007–2013en_GB
dc.identifier.citationVol. 4 : eaar5809en_GB
dc.identifier.doi10.1126/sciadv.aar5809
dc.identifier.grantnumberNE/P007880/1en_GB
dc.identifier.grantnumber603864en_GB
dc.identifier.urihttp://hdl.handle.net/10871/39195
dc.language.isoenen_GB
dc.publisherAmerican Association for the Advancement of Scienceen_GB
dc.rightsCopyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.en_GB
dc.titleClimate models predict increasing temperature variability in poor countriesen_GB
dc.typeArticleen_GB
dc.date.available2019-10-15T08:56:29Z
dc.descriptionThis is the final version. Available from the publisher via the DOI in this record.en_GB
dc.descriptionData and materials availability: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials. Additional data related to this paper may be requested from the authors. We acknowledge the World Climate Research Programme’s Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modeling groups for producing and making available their model output. Observational and reanalysis data sets are freely available online. Support for the NOAA-CIRES Twentieth Century Reanalysis Project version 2c data set is provided by the U.S. DOE, Office of Science Biological and Environmental Research and by the NOAA Climate Program Office.en_GB
dc.identifier.eissn2375-2548
dc.identifier.journalScience Advancesen_GB
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en_GB
dcterms.dateAccepted2018-03-16
exeter.funder::Natural Environment Research Council (NERC)en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2018-05-02
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-10-15T08:46:32Z
refterms.versionFCDVoR
refterms.dateFOA2019-10-15T08:56:32Z
refterms.panelCen_GB
refterms.depositExceptionpublishedGoldOA
refterms.depositExceptionExplanationhttps://doi.org/10.1126/sciadv.aar5809


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Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).
This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
Except where otherwise noted, this item's licence is described as Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.