https://esd.copernicus.org/articles/16/1325/2025/

*Authors*: Ezra Brody, Yan Zhang, Douglas G. MacMartin, Daniele Visioni,
Ben Kravitz, and Ewa M. Bednarz

*13 August 2025*

*Abstract*
Stratospheric aerosol injection (SAI), as a possible supplement to emission
reduction, has the potential to reduce some of the impacts associated with
climate change. However, the outcomes will depend on how it is deployed:
not just how much but also the latitudes of injection and the distribution
of injection rates across those latitudes. Different such strategies have
been proposed, for example, managing up to three climate metrics
simultaneously by injecting at multiple latitudes. Nonetheless, these
strategies still do not fully compensate for the pattern of climate changes
caused by increased greenhouse gas concentrations, creating a novel climate
state. To date there has not been a systematic assessment of whether there
are strategies that could do a better job of managing some specific climate
goals, nor an assessment of any underlying trade-offs between managing
different sets of climate goals. Herein we use existing climate model
simulations of the response to injection at seven different latitudes and
apply optimization tools to explore the limitations and trade-offs when
designing strategies that combine injection across these latitudes. This
relies on linearity being a sufficiently good assumption, which we first
validate. The resulting “best” strategy of course depends on what goals are
being optimized for. For example, at 1 °C of cooling, we predict that there
exist strategies that do a better job than those simulated to date at
simultaneously balancing regional temperature and precipitation responses,
but the differences may be too small to detect at lower levels of cooling.

*Source: EGU*

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