Self-organising maps reveal distinct spatial and temporal patterns in the build-up of marine heatwaves in the Tasman Sea

Abstract Marine heatwaves (MHWs) pose a significant threat to marine ecosystems and economies. Predicting MHWs is essential for mitigating their impact, but remains a challenge. Despite considerable progress having been made in understanding the regional-scale drivers of MHWs, a significant knowledge gap remains when it comes to understanding the synoptic-scale processes associated with these events. In this study, we used self-organising maps to identify the synoptic-scale atmospheric and oceanic patterns associated with MHWs identified in four sub-regions of the Tasman Sea between 1985 and 2014. Our results reveal patterns associated with recurring, as well as distinct extreme warming events. We show that anomalous atmospheric influence is consistently present during MHWs and that the two most recurring patterns are linked to a La Niña climate phase. Distinct synoptic air-sea patterns are also identified in the 1997/98 El Niño event. Furthermore, we identify a ‘reservoir’ of warm subsurface temperatures from 2000-2014, during which MHW frequency increased two-fold. Importantly, we have identified patterns of persistent anomalous conditions before the onset of MHWs with timescales on the order of days for atmospheric conditions and weeks to months for oceanic conditions, providing valuable insight into MHW predictors. These findings highlight the importance of understanding synoptic-scale drivers of MHWs and timescales of recurring patterns for MHW prediction. The temporal variability observed in the lead-up to MHWs underscores the potential significance of factors such as surface-layer temperature and sea-level anomalies in capturing longer-term warming trends, likely influenced by sustained atmospheric stress and oceanic dynamics, whilst atmospheric conditions at onset precipitate the transition to the extreme warming thresholds.

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Publication Details

Journal
Ocean Dynamics
Published
2025-02-01
DOI
https://doi.org/10.1007/s10236-025-01660-z
Citations
1
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.11

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article

Self-organising maps reveal distinct spatial and temporal patterns in the build-up of marine heatwaves in the Tasman Sea

Amandine Schaeffer, Youstina Elzahaby, Moninya Roughan, Sébastien Delaux
1 citations
Ocean Dynamics
Climate variability and models
1.11
article

Self-organising maps reveal distinct spatial and temporal patterns in the build-up of marine heatwaves in the Tasman Sea

Amandine Schaeffer, Youstina Elzahaby, Moninya Roughan, Sébastien Delaux
article en
1 citations

Abstract

Abstract Marine heatwaves (MHWs) pose a significant threat to marine ecosystems and economies. Predicting MHWs is essential for mitigating their impact, but remains a challenge. Despite considerable progress having been made in understanding the regional-scale drivers of MHWs, a significant knowledge gap remains when it comes to understanding the synoptic-scale processes associated with these events. In this study, we used self-organising maps to identify the synoptic-scale atmospheric and oceanic patterns associated with MHWs identified in four sub-regions of the Tasman Sea between 1985 and 2014. Our results reveal patterns associated with recurring, as well as distinct extreme warming events. We show that anomalous atmospheric influence is consistently present during MHWs and that the two most recurring patterns are linked to a La Niña climate phase. Distinct synoptic air-sea patterns are also identified in the 1997/98 El Niño event. Furthermore, we identify a ‘reservoir’ of warm subsurface temperatures from 2000-2014, during which MHW frequency increased two-fold. Importantly, we have identified patterns of persistent anomalous conditions before the onset of MHWs with timescales on the order of days for atmospheric conditions and weeks to months for oceanic conditions, providing valuable insight into MHW predictors. These findings highlight the importance of understanding synoptic-scale drivers of MHWs and timescales of recurring patterns for MHW prediction. The temporal variability observed in the lead-up to MHWs underscores the potential significance of factors such as surface-layer temperature and sea-level anomalies in capturing longer-term warming trends, likely influenced by sustained atmospheric stress and oceanic dynamics, whilst atmospheric conditions at onset precipitate the transition to the extreme warming thresholds.

Ocean DynamicsVol. 75(2)
UNSW Sydney (AU), Oceanum Ltd (New Zealand)
University of New South Wales
Life below water
Openalex Percentile: Top 28%
Climate variability and models
1.11
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