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Global hotspots for the occurrence of compound events
Compound events (CEs) are weather and climate events that result from multiple hazards or drivers with the potential to cause severe socio-economic impacts. Compared with isolated hazards, the multiple hazards/drivers associated with CEs can lead to higher economic losses and death tolls. Here, we p...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7687898/ https://www.ncbi.nlm.nih.gov/pubmed/33235203 http://dx.doi.org/10.1038/s41467-020-19639-3 |
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author | Ridder, Nina N. Pitman, Andy J. Westra, Seth Ukkola, Anna Hong, X. Do Bador, Margot Hirsch, Annette L. Evans, Jason P. Di Luca, Alejandro Zscheischler, Jakob |
author_facet | Ridder, Nina N. Pitman, Andy J. Westra, Seth Ukkola, Anna Hong, X. Do Bador, Margot Hirsch, Annette L. Evans, Jason P. Di Luca, Alejandro Zscheischler, Jakob |
author_sort | Ridder, Nina N. |
collection | PubMed |
description | Compound events (CEs) are weather and climate events that result from multiple hazards or drivers with the potential to cause severe socio-economic impacts. Compared with isolated hazards, the multiple hazards/drivers associated with CEs can lead to higher economic losses and death tolls. Here, we provide the first analysis of multiple multivariate CEs potentially causing high-impact floods, droughts, and fires. Using observations and reanalysis data during 1980–2014, we analyse 27 hazard pairs and provide the first spatial estimates of their occurrences on the global scale. We identify hotspots of multivariate CEs including many socio-economically important regions such as North America, Russia and western Europe. We analyse the relative importance of different multivariate CEs in six continental regions to highlight CEs posing the highest risk. Our results provide initial guidance to assess the regional risk of CE events and an observationally-based dataset to aid evaluation of climate models for simulating multivariate CEs. |
format | Online Article Text |
id | pubmed-7687898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76878982020-12-03 Global hotspots for the occurrence of compound events Ridder, Nina N. Pitman, Andy J. Westra, Seth Ukkola, Anna Hong, X. Do Bador, Margot Hirsch, Annette L. Evans, Jason P. Di Luca, Alejandro Zscheischler, Jakob Nat Commun Article Compound events (CEs) are weather and climate events that result from multiple hazards or drivers with the potential to cause severe socio-economic impacts. Compared with isolated hazards, the multiple hazards/drivers associated with CEs can lead to higher economic losses and death tolls. Here, we provide the first analysis of multiple multivariate CEs potentially causing high-impact floods, droughts, and fires. Using observations and reanalysis data during 1980–2014, we analyse 27 hazard pairs and provide the first spatial estimates of their occurrences on the global scale. We identify hotspots of multivariate CEs including many socio-economically important regions such as North America, Russia and western Europe. We analyse the relative importance of different multivariate CEs in six continental regions to highlight CEs posing the highest risk. Our results provide initial guidance to assess the regional risk of CE events and an observationally-based dataset to aid evaluation of climate models for simulating multivariate CEs. Nature Publishing Group UK 2020-11-24 /pmc/articles/PMC7687898/ /pubmed/33235203 http://dx.doi.org/10.1038/s41467-020-19639-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ridder, Nina N. Pitman, Andy J. Westra, Seth Ukkola, Anna Hong, X. Do Bador, Margot Hirsch, Annette L. Evans, Jason P. Di Luca, Alejandro Zscheischler, Jakob Global hotspots for the occurrence of compound events |
title | Global hotspots for the occurrence of compound events |
title_full | Global hotspots for the occurrence of compound events |
title_fullStr | Global hotspots for the occurrence of compound events |
title_full_unstemmed | Global hotspots for the occurrence of compound events |
title_short | Global hotspots for the occurrence of compound events |
title_sort | global hotspots for the occurrence of compound events |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7687898/ https://www.ncbi.nlm.nih.gov/pubmed/33235203 http://dx.doi.org/10.1038/s41467-020-19639-3 |
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