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Multidimensional risk in a nonstationary climate: Joint probability of increasingly severe warm and dry conditions

We present a framework for quantifying the spatial and temporal co-occurrence of climate stresses in a nonstationary climate. We find that, globally, anthropogenic climate forcing has doubled the joint probability of years that are both warm and dry in the same location (relative to the 1961–1990 ba...

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Autores principales: Sarhadi, Ali, Ausín, María Concepción, Wiper, Michael P., Touma, Danielle, Diffenbaugh, Noah S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261656/
https://www.ncbi.nlm.nih.gov/pubmed/30498780
http://dx.doi.org/10.1126/sciadv.aau3487
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author Sarhadi, Ali
Ausín, María Concepción
Wiper, Michael P.
Touma, Danielle
Diffenbaugh, Noah S.
author_facet Sarhadi, Ali
Ausín, María Concepción
Wiper, Michael P.
Touma, Danielle
Diffenbaugh, Noah S.
author_sort Sarhadi, Ali
collection PubMed
description We present a framework for quantifying the spatial and temporal co-occurrence of climate stresses in a nonstationary climate. We find that, globally, anthropogenic climate forcing has doubled the joint probability of years that are both warm and dry in the same location (relative to the 1961–1990 baseline). In addition, the joint probability that key crop and pasture regions simultaneously experience severely warm conditions in conjunction with dry years has also increased, including high statistical confidence that human influence has increased the probability of previously unprecedented co-occurring combinations. Further, we find that ambitious emissions mitigation, such as that in the United Nations Paris Agreement, substantially curbs increases in the probability that extremely hot years co-occur with low precipitation simultaneously in multiple regions. Our methodology can be applied to other climate variables, providing critical insight for a number of sectors that are accustomed to deploying resources based on historical probabilities.
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spelling pubmed-62616562018-11-29 Multidimensional risk in a nonstationary climate: Joint probability of increasingly severe warm and dry conditions Sarhadi, Ali Ausín, María Concepción Wiper, Michael P. Touma, Danielle Diffenbaugh, Noah S. Sci Adv Research Articles We present a framework for quantifying the spatial and temporal co-occurrence of climate stresses in a nonstationary climate. We find that, globally, anthropogenic climate forcing has doubled the joint probability of years that are both warm and dry in the same location (relative to the 1961–1990 baseline). In addition, the joint probability that key crop and pasture regions simultaneously experience severely warm conditions in conjunction with dry years has also increased, including high statistical confidence that human influence has increased the probability of previously unprecedented co-occurring combinations. Further, we find that ambitious emissions mitigation, such as that in the United Nations Paris Agreement, substantially curbs increases in the probability that extremely hot years co-occur with low precipitation simultaneously in multiple regions. Our methodology can be applied to other climate variables, providing critical insight for a number of sectors that are accustomed to deploying resources based on historical probabilities. American Association for the Advancement of Science 2018-11-28 /pmc/articles/PMC6261656/ /pubmed/30498780 http://dx.doi.org/10.1126/sciadv.aau3487 Text en 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). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , 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.
spellingShingle Research Articles
Sarhadi, Ali
Ausín, María Concepción
Wiper, Michael P.
Touma, Danielle
Diffenbaugh, Noah S.
Multidimensional risk in a nonstationary climate: Joint probability of increasingly severe warm and dry conditions
title Multidimensional risk in a nonstationary climate: Joint probability of increasingly severe warm and dry conditions
title_full Multidimensional risk in a nonstationary climate: Joint probability of increasingly severe warm and dry conditions
title_fullStr Multidimensional risk in a nonstationary climate: Joint probability of increasingly severe warm and dry conditions
title_full_unstemmed Multidimensional risk in a nonstationary climate: Joint probability of increasingly severe warm and dry conditions
title_short Multidimensional risk in a nonstationary climate: Joint probability of increasingly severe warm and dry conditions
title_sort multidimensional risk in a nonstationary climate: joint probability of increasingly severe warm and dry conditions
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261656/
https://www.ncbi.nlm.nih.gov/pubmed/30498780
http://dx.doi.org/10.1126/sciadv.aau3487
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