https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2024MS004872

*Authors*
Sebastian D. Eastham, Amy H. Butler, Sarah J. Doherty, Blaž Gasparini,
Simone Tilmes, Ewa M. Bednarz, Ulrike Burkhardt, Gabriel Chiodo, Daniel J.
Cziczo, Michael S. Diamond, David W. Keith, Thomas Leisner, Douglas G.
MacMartin, Johannes Quaas, Philip J. Rasch, Odran Sourdeval, Isabelle
Steinke, Chelsea Thompson, Daniele Visioni, Robert Wood, Lili Xia, Pengfei
Yu

First published: *19 June 2025*

https://doi.org/10.1029/2024MS004872

*Abstract*
Solar radiation modification (SRM) is increasingly discussed as a potential
method to ameliorate some negative effects of climate change. However,
unquantified uncertainties in physical and environmental impacts of SRM
impede informed debate and decision making. Some uncertainties are due to
lack of understanding of processes determining atmospheric effects of SRM
and/or a lag in development of their representation in models, meaning even
high-quality model intercomparisons will not necessarily reveal or address
them. Although climate models at multiple scales are advancing in
complexity, there are specific areas of uncertainty where additional model
development (often requiring new observations) could significantly advance
understanding of SRM's effects, and improve our ability to assess and weigh
potential risks against those of choosing to not use SRM. We convene expert
panels in the areas of atmospheric science most critical to understanding
the three most widely discussed forms of SRM. Each identifies three key
modeling gaps relevant to either stratospheric aerosols, cirrus, or
low-altitude marine clouds. Within each area, key challenges remain in
capturing impacts due to complex interactions in aerosol physics,
atmospheric chemistry/dynamics, and aerosol-cloud interactions. Across all
three, in addition to arguing for more observations, the panels argue that
model development work to either leverage different capabilities of
existing models, bridge scales across which relevant processes operate, or
address known modeling gaps could advance understanding. By focusing on
these knowledge gaps we believe the modeling community could advance
understanding of SRM's physical risks and potential benefits, allowing
better-informed decision-making about whether and how to use SRM.

*Key Points*

Agreement across models in the physical responses to solar radiation
modification may not reflect high accuracy

We identify nine key knowledge/modeling gaps where advances would improve
understanding of solar radiation modification's physical impacts

More observations are needed to constrain atmospheric processes uniquely
affected by implementation of solar radiation modification

*Plain Language Summary*
Solar radiation modification has been suggested as a potential method to
reduce climate warming and its associated impacts, with three different
types the subject of most research: stratospheric aerosol injection; marine
cloud brightening; and cirrus cloud thinning. However, while modeling
studies suggest some such methods could be effective, key challenges remain
in accurately simulating their impacts due to complex interactions in
aerosol physics, atmospheric chemistry, atmospheric dynamics, and
aerosol-cloud interactions that are inherent to the three SRM methods. We
highlight critical research gaps that must be addressed to improve solar
radiation modification modeling, including uncertainties in aerosol-cloud
interactions, aerosol microphysics, and their global effects. These gaps,
identified by expert panels through the Geoengineering Modeling Research
Consortium, emphasize the need for more detailed laboratory and field
studies, along with improved models at multiple scales. We specifically
outline where additional fundamental research is needed to support decision
making around SRM, which will inevitably be made under uncertainty.

*Source: AGU*

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