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...

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Bibliographic Details
Published in:Nature communications 2022-12, Vol.13 (1), p.7843-7843, Article 7843
Main Authors: Chapman, Christopher C., Monselesan, Didier P., Risbey, James S., Feng, Ming, Sloyan, Bernadette M.
Format: Article
Language:English
Subjects:
704/106/829/2737
704/4111
704/829/2737
Atmospheric conditions
Case studies
Climate
Climate Change
Climate models
Climate variability
Data mining
Datasets
Ecosystem
El Nino
Environmental impact
Heat
Humanities and Social Sciences
Laboratories
Marine ecosystems
multidisciplinary
Oceans and Seas
Science
Science (multidisciplinary)
Sea surface temperature
Teleconnections
Temperature
Time series
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Summary: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. Here, the authors use an advanced data-mining method to show how “extreme modes” of large-scale climate variability, such as El Niño, can lead to devastating marine heatwaves.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-022-35493-x