https://iopscience.iop.org/article/10.1088/2752-5295/acdaec/meta

*Authors*
Trisha D Patel1, Romaric C Odoulami, Izidine Pinto, Temitope S Egbebiyi,
Christopher Lennard3, Babatunde J Abiodun and Mark New

*Published 29 June 2023*

DOI 10.1088/2752-5295/acdaec

*Abstract*
Stratospheric aerosol injection (SAI) is the theoretical deployment of
sulphate particles into the stratosphere to reflect incoming solar
radiation and trigger a cooling impact at the Earth's surface. This study
assessed the potential impact of SAI geoengineering on temperature and
precipitation extremes over South Africa (SAF) and its climatic zones in
the future (2075–2095) using simulations from the Stratospheric Aerosol
Geoengineering Large Ensemble (GLENS) project. We analyse three different
experiments from the GLENS project, each of which simulate stratospheric
SO2 injection under the representative concentration pathway 8.5 (RCP8.5)
emissions scenario: (i) tropical injection around 22.8–25 km altitude
(GLENS), (ii) tropical injection around 1 km above the tropopause
(GLENS_low), and (iii) injection near the equator around 20–25 km
(GLENS_eq). The study used a set of the Expert Team on Climate Change
Detection and Indices describing temperature and rainfall extremes to
assess the impact of the three SAI experiments on extreme weather in the
future over SAF. The results of this study indicate that, relative to the
baseline period (2010–2030), all three SAI experiments are mostly
over-effective in offsetting the projected RCP8.5 increase in the frequency
of hot (up to −60%) and decrease (up to +10%) in cold temperature extremes
over SAF and its climatic zones. These findings suggest that SAI could
cause over-cooling in SAF. However, SAI impact on precipitation extremes is
less linear and varies across the country's climatic zones. For example,
SAI could reinforce the projected decrease in precipitation extremes across
most of SAF, although it could exacerbate heavy precipitation over the
KwaZulu-Natal Coast. These findings are consistent across SAI experiments
except in magnitude, as GLENS_eq and GLENS_low could cause larger decreases
in precipitation extremes than GLENS. These findings imply that SAI could
alleviate heat stress on human health, agriculture, and vulnerable
communities while simultaneously decreasing infrastructure and crops'
vulnerability to flooding. It is, however, essential to interpret these
findings cautiously as they are specific to the SAI experiments and
modelling settings considered in the GLENS project.

*Source: IOP SCIENCE *

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