https://acp.copernicus.org/articles/26/1339/2026/

*Authors: *Cindy Wang, Daniele Visioni, Glen Chua, and Ewa M. Bednarz

*27 January 2026*

*Abstract*
Stratospheric aerosol injection (SAI) is a proposed climate intervention
method to offset future global warming through increased solar reflection
in the stratosphere, but its broader environmental and public health
implications are yet to be thoroughly explored. We use three large
ensembles of fully coupled CESM2-WACCM6 simulations to assess changes in
mortality attributable to fine particulate matter (PM2.5) and surface ozone
exposure (O3). Maintaining temperatures at 1.5 °C above preindustrial
levels through SAI is projected to yield a modest 0.4 % (ensemble range:
−1.9 % to +1.5 %) reduction in pollution-related mortality relative to
middle-of-the-road climate change scenario, reflecting a 1.3 % (−2.3 % to
−0.6 %) reduction in ozone-related deaths and a 0.9 % (−0.4 % to +2.1 %)
increase in PM2.5-related deaths. The spread among ensemble members
underscores the influence of internal variability and highlights the
importance of ensemble-based analyses when assessing the potential health
impacts of climate intervention strategies. We find that global PM2.5
mortality changes exhibit little sensitivity to injected sulfate amounts,
with the most variability driven by precipitation-mediated changes in
non-sulfate PM2.5 species (e.g., dust and secondary organic aerosols),
whereas ozone-related mortality is primarily driven by surface cooling and
hemispheric asymmetries in stratospheric-tropospheric exchange and ozone
transport. However, our results heavily reflect the specific forcing
patterns of the SAI scenarios used; our estimates are also limited by model
shortcomings, including omitting the effects of aerosols in the photolysis
scheme – which might limit UV-driven changes and impact surface ozone rates
– or not including nitrate aerosols. Within our framework, we find that SAI
impacts on pollution-related mortality are modest but regionally
heterogeneous, and that the magnitude of the SAI-driven changes is smaller
than the improvements expected from near-term air quality policies planned
or implemented within the same time frame.

*Source: EGU*

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