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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2018
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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. |
format | Online Article Text |
id | pubmed-6261656 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
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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