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

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

*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: Scientific Reports *

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