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A large-scale view of marine heatwaves revealed by archetype analysis
Marine heatwaves can have disastrous impacts on ecosystems and marine industries. Given their potential consequences, it is important to understand how broad-scale climate variability influences the probability of localised extreme events. Here, we employ an advanced data-mining methodology, archety...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772210/ https://www.ncbi.nlm.nih.gov/pubmed/36543779 http://dx.doi.org/10.1038/s41467-022-35493-x |
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author | Chapman, Christopher C. Monselesan, Didier P. Risbey, James S. Feng, Ming Sloyan, Bernadette M. |
author_facet | Chapman, Christopher C. Monselesan, Didier P. Risbey, James S. Feng, Ming Sloyan, Bernadette M. |
author_sort | Chapman, Christopher C. |
collection | PubMed |
description | Marine heatwaves can have disastrous impacts on ecosystems and marine industries. Given their potential consequences, it is important to understand how broad-scale climate variability influences the probability of localised extreme events. Here, we employ an advanced data-mining methodology, archetype analysis, to identify large scale patterns and teleconnections that lead to marine extremes in certain regions. This methodology is applied to the Australasian region, where it identifies instances of anomalous sea-surface temperatures, frequently associated with marine heatwaves, as well as the broadscale oceanic and atmospheric conditions associated with those extreme events. Additionally, we use archetype analysis to assess the ability of a low-resolution climate model to accurately represent the teleconnection patterns associated with extreme climate variability, and discuss the implications for the predictability of these impactful events. |
format | Online Article Text |
id | pubmed-9772210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97722102022-12-23 A large-scale view of marine heatwaves revealed by archetype analysis Chapman, Christopher C. Monselesan, Didier P. Risbey, James S. Feng, Ming Sloyan, Bernadette M. Nat Commun Article Marine heatwaves can have disastrous impacts on ecosystems and marine industries. Given their potential consequences, it is important to understand how broad-scale climate variability influences the probability of localised extreme events. Here, we employ an advanced data-mining methodology, archetype analysis, to identify large scale patterns and teleconnections that lead to marine extremes in certain regions. This methodology is applied to the Australasian region, where it identifies instances of anomalous sea-surface temperatures, frequently associated with marine heatwaves, as well as the broadscale oceanic and atmospheric conditions associated with those extreme events. Additionally, we use archetype analysis to assess the ability of a low-resolution climate model to accurately represent the teleconnection patterns associated with extreme climate variability, and discuss the implications for the predictability of these impactful events. Nature Publishing Group UK 2022-12-21 /pmc/articles/PMC9772210/ /pubmed/36543779 http://dx.doi.org/10.1038/s41467-022-35493-x Text en © Crown 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chapman, Christopher C. Monselesan, Didier P. Risbey, James S. Feng, Ming Sloyan, Bernadette M. A large-scale view of marine heatwaves revealed by archetype analysis |
title | A large-scale view of marine heatwaves revealed by archetype analysis |
title_full | A large-scale view of marine heatwaves revealed by archetype analysis |
title_fullStr | A large-scale view of marine heatwaves revealed by archetype analysis |
title_full_unstemmed | A large-scale view of marine heatwaves revealed by archetype analysis |
title_short | A large-scale view of marine heatwaves revealed by archetype analysis |
title_sort | large-scale view of marine heatwaves revealed by archetype analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772210/ https://www.ncbi.nlm.nih.gov/pubmed/36543779 http://dx.doi.org/10.1038/s41467-022-35493-x |
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