https://www.nature.com/articles/s41598-025-20672-9#citeas

*Authors*: Djoirka M. Dimoune, Babatunde J. Abiodun, Marek Ostrowski, Founi 
M. Awo, Folly S. Tomety, Annette Samuelsen, Issufo Halo & Isabelle Ansorge

DOI:  10.1038/s41598-025-20672-9

Published:  *21 October 2025*

*Abstract*
How to mitigate the negative effects of global warming is one of the most 
challenging issues of our time. Stratospheric Aerosol Intervention (SAI) 
may help reduce these effects, but its impact on extreme sea surface 
temperature events like marine heatwaves (MHWs) remains uncertain, 
particularly in productive areas such as the Agulhas Bank (AB) in the 
southern coast of South Africa. This study investigates to what extent the 
SAI can mitigate the impacts of global warming on MHW metrics (frequency, 
duration, intensity, and cumulative intensity) in the AB. We used 
ARISE-SAI-1.5 simulations, aimed to limit the future global mean surface 
temperature to 1.5 °C above pre-industrial levels, to calculate the MHW 
metrics and compare them to those of the SSP2-4.5 simulations under global 
warming. Our results show that, under global warming, MHW frequency, 
duration and intensity are projected to increase with the maximum increase 
up to 150%, 200%, and 15%, respectively. Under the SAI, the changes in 
these metrics are mitigated; specifically, in the AB region. To understand 
these decreases, particularly in the AB region, we applied a machine 
learning approach, the self-organizing map, to the sea surface temperature 
(SST) anomaly patterns associated with MHW events in the AB region, where 
anomalies exceed 0.5 °C and cover at least 95% of the area in both the 
ARISE-SAI-1.5 and SSP2-4.5 simulations. The results reveal nine dominant 
patterns of SST anomalies, with SAI offsetting climate change impacts in 
certain patterns, particularly those showing cooling that extends from the 
south and west toward the AB region, potentially benefiting the 
productivity of the South African coast.

*Source: Springer Nature*




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