https://egusphere.copernicus.org/preprints/2025/egusphere-2025-1830/

*Authors*
Jared Farley, Douglas G. MacMartin, Daniele Visioni, Ben Kravitz, Ewa
Bednarz, Alistair Duffey, and Matthew Henry

*Discussion started: 21 May 2025*

*Abstract*
Stratospheric Aerosol Injection (SAI) is a form of climate intervention
that has been proposed as a way to reflect incoming solar radiation in
order to provide a cooling effect and offset some of the impacts of
greenhouse gas warming. Many possible scenarios for SAI implementation
exist, ranging from steady, cooperative deployments across one or more
injection latitudes to highly dynamic uncoordinated deployment with
multiple independent actors with different aims. To explore the physical
consequences across this wide range of possible SAI deployment scenarios,
we develop the Climate Intervention Dynamical EmulatoR (CIDER), a climate
emulator designed to emulate regional and global responses to a SAI
deployment as the injection (or desired climate goals) vary in magnitude,
latitude, and time. We train the emulator on existing sets of simulations
from two Earth System Models. We then validate the emulator on a novel
climate model simulated scenario of an example multi-actor uncoordinated
SAI deployment. Our findings demonstrate that CIDER can be successfully
used to estimate multiple climate variables of interest and across multiple
climate models, including regional and global temperature and
precipitation; it also successfully emulates results of an uncoordinated
SAI deployment, rendering it an invaluable tool in exploring the climatic
implication of a wide range of deployment scenarios, with the possibility
of future coupling with regionally resolved integrated modeling frameworks
in order to better quantify the potential societal impacts of SAI.

*Source: EGUSphere*

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