Publication: Multidimensional risk in a nonstationary climate: joint probability of increasingly severe warm and dry conditions
dc.affiliation.dpto | UC3M. Departamento de Estadística | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: Técnicas no Paramétricas y de Computación Intensiva en Estadística | es |
dc.affiliation.instituto | UC3M. Instituto UC3M - Santander de Big Data | es |
dc.contributor.author | Sarhadi, Ali | |
dc.contributor.author | Ausín Olivera, María Concepción | |
dc.contributor.author | Wiper, Michael Peter | |
dc.contributor.author | Touma, Danielle | |
dc.contributor.author | Diffenbaugh, Noah S | |
dc.date.accessioned | 2024-01-09T11:19:23Z | |
dc.date.available | 2024-01-09T11:19:23Z | |
dc.date.issued | 2018-11-28 | |
dc.description.abstract | 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. | en |
dc.format.extent | 10 | es |
dc.format.mimetype | application/pdf | en |
dc.identifier.bibliographicCitation | Sarhadi, A., Ausín, M. C., Wiper, M. P., Touma, D., & Diffenbaugh, N. S. (2018). Multidimensional risk in a nonstationary climate: Joint probability of increasingly severe warm and dry conditions. Science Advances 4(11). | es |
dc.identifier.doi | 10.1126/sciadv.aau3487 | |
dc.identifier.issn | 2375-2548 | |
dc.identifier.publicationissue | 11 | es |
dc.identifier.publicationtitle | Science Advances | en |
dc.identifier.publicationvolume | 4 | es |
dc.identifier.uri | https://hdl.handle.net/10016/39179 | |
dc.identifier.uxxi | AR/0000022577 | |
dc.language.iso | eng | en |
dc.publisher | American Association for the Advancement of Science | en |
dc.rights | © 2018 The Authors. | es |
dc.rights | Atribución-NoComercial 3.0 España | * |
dc.rights.accessRights | open access | en |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/3.0/es/ | * |
dc.subject.eciencia | Estadística | es |
dc.subject.other | Random-variables | en |
dc.subject.other | Copula | en |
dc.subject.other | Volatility | en |
dc.title | Multidimensional risk in a nonstationary climate: joint probability of increasingly severe warm and dry conditions | en |
dc.type | research article | en |
dspace.entity.type | Publication |
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