Climate models predict increasing temperature variability in poor countries

This is the final version. Available from the publisher via the DOI in this record. Data 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 a...

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Published in:Science Advances
Main Authors: Bathiany, S, Dakos, V, Scheffer, M, Lenton, TM
Format: Article in Journal/Newspaper
Language:English
Published: American Association for the Advancement of Science 2018
Subjects:
Online Access:http://hdl.handle.net/10871/39195
https://doi.org/10.1126/sciadv.aar5809
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spelling ftunivexeter:oai:ore.exeter.ac.uk:10871/39195 2024-09-15T18:35:35+00:00 Climate models predict increasing temperature variability in poor countries Bathiany, S Dakos, V Scheffer, M Lenton, TM 2018 http://hdl.handle.net/10871/39195 https://doi.org/10.1126/sciadv.aar5809 en eng American Association for the Advancement of Science Vol. 4 : eaar5809 doi:10.1126/sciadv.aar5809 NE/P007880/1 603864 http://hdl.handle.net/10871/39195 2375-2548 Science Advances 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. http://creativecommons.org/licenses/by-nc/4.0/ Article 2018 ftunivexeter https://doi.org/10.1126/sciadv.aar5809 2024-07-29T03:24:16Z This is the final version. Available from the publisher via the DOI in this record. Data 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. Extreme 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. Natural Environment Research Council (NERC) European Union Seventh Framework Programme FP7/2007–2013 Article in Journal/Newspaper Sea ice University of Exeter: Open Research Exeter (ORE) Science Advances 4 5 eaar5809
institution Open Polar
collection University of Exeter: Open Research Exeter (ORE)
op_collection_id ftunivexeter
language English
description This is the final version. Available from the publisher via the DOI in this record. Data 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. Extreme 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. Natural Environment Research Council (NERC) European Union Seventh Framework Programme FP7/2007–2013
format Article in Journal/Newspaper
author Bathiany, S
Dakos, V
Scheffer, M
Lenton, TM
spellingShingle Bathiany, S
Dakos, V
Scheffer, M
Lenton, TM
Climate models predict increasing temperature variability in poor countries
author_facet Bathiany, S
Dakos, V
Scheffer, M
Lenton, TM
author_sort Bathiany, S
title Climate models predict increasing temperature variability in poor countries
title_short Climate models predict increasing temperature variability in poor countries
title_full Climate models predict increasing temperature variability in poor countries
title_fullStr Climate models predict increasing temperature variability in poor countries
title_full_unstemmed Climate models predict increasing temperature variability in poor countries
title_sort climate models predict increasing temperature variability in poor countries
publisher American Association for the Advancement of Science
publishDate 2018
url http://hdl.handle.net/10871/39195
https://doi.org/10.1126/sciadv.aar5809
genre Sea ice
genre_facet Sea ice
op_relation Vol. 4 : eaar5809
doi:10.1126/sciadv.aar5809
NE/P007880/1
603864
http://hdl.handle.net/10871/39195
2375-2548
Science Advances
op_rights 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.
http://creativecommons.org/licenses/by-nc/4.0/
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