A large-scale view of marine heatwaves revealed by archetype analysis

Christopher C. Chapman (), Didier P. Monselesan, James S. Risbey, Ming Feng and Bernadette M. Sloyan
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Christopher C. Chapman: CSIRO Oceans and Atmosphere, Hobart Marine Laboratories
Didier P. Monselesan: CSIRO Oceans and Atmosphere, Hobart Marine Laboratories
James S. Risbey: CSIRO Oceans and Atmosphere, Hobart Marine Laboratories
Ming Feng: Center for Southern Hemisphere Ocean Research, Hobart Marine Laboratories
Bernadette M. Sloyan: CSIRO Oceans and Atmosphere, Hobart Marine Laboratories

Nature Communications, 2022, vol. 13, issue 1, 1-16

Abstract: Abstract 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.

Date: 2022
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DOI: 10.1038/s41467-022-35493-x

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