https://egusphere.copernicus.org/preprints/2025/egusphere-2024-3974/

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

*Citation:* Brody, E., Zhang, Y., MacMartin, D. G., Visioni, D., Kravitz,
B., and Bednarz, E. M.: Using Optimization Tools to Explore Stratospheric
Aerosol Injection Strategies, EGUsphere [preprint],
https://doi.org/10.5194/egusphere-2024-3974, 2025.

*Received: 16 Dec 2024 – Discussion started: 16 Jan 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 the latitudes of injection and the distribution of
injection rates across those latitudes. Different such strategies have been
proposed, 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 7 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 degree Celsius 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 Sphere*

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