https://egusphere.copernicus.org/preprints/2025/egusphere-2025-4274/

*Authors: *Simone Tilmes, Daniele Visioni, Ilaria Quaglia, Yunqian Zhu,
Charles G. Bardeen, Francis Vitt, and Pengfei Yu

*Received: 01 Sep 2025 – Discussion started: 15 Sep 2025*

*Abstract*
Significant differences exist between Earth System Models in simulating the
efficiency of stratospheric aerosol injection (SAI) experiments,
particularly in terms of aerosol burden, radiative forcing, and impacts,
such as tropical lower stratospheric heating and changes in ozone. However,
the primary reasons for these differences have not been identified.
Previous studies have proposed that these differences can be attributed to
the use of different aerosol microphysical schemes, model resolution, or
other physical parameterizations. Here, we compare two sets of SAI
experiments using the same modeling framework of the Community Earth System
Model, differing only in their aerosol microphysical schemes: the modal
aerosol model (MAM4) and the sectional aerosol model (CARMA). We analyze
scenarios varying in injection location (point vs. regional), amount (5 vs.
25 TgS/yr), and material (sulfur dioxide (SO2) gas vs. accumulation-mode
sulfuric acid (AM-H2SO4) aerosol). Our results suggest that the SAI
radiative efficiency may be substantially overestimated when using the
modal aerosol model, particularly at higher injection rates, with
implications for other impacts. While both sets of models confirm that
AM-H2SO4 injections are more effective than SO2 injections in reducing net
top-of-the-atmosphere radiative forcing, MAM4 yields significantly larger
aerosol burdens and weaker size-dependent sedimentation, particularly at 25
TgS/yr. In contrast, CARMA produces a smaller aerosol burden, with more
mass shifted into larger particles and a declining radiative efficiency at
increased injection rates. These findings suggest that more sophisticated
sectional models may be necessary to accurately assess the efficacy, side
effects, and climate impacts of SAI.

*Source: EGUSphere*

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