https://eos.org/science-updates/improving-models-for-solar-climate-intervention-research
Modern climate models were designed to simulate natural systems and changes
mainly due to atmospheric carbon dioxide, rather than to predict effects of
deliberate climate interventions.

View from an airplane flying above a layer of clouds
Solar climate intervention (SCI) methods, such as stratospheric aerosol
deployments in aircraft plumes, are intended to modify the amount of
sunlight that Earth absorbs and reflects. Credit: Jerry Xavier/Pixabay
By Sebastian Eastham, Sarah Doherty, David Keith, Jadwiga H. Richter, and
Lili Xia  8 hours ago

Solar climate intervention, also known as solar radiation modification, is
an approach intended to mitigate the impacts of climate change by reducing
the amount of solar energy that the Earth system traps. It sits alongside
three other plausible responses to climate risk: emission cuts and
decarbonization, atmospheric carbon dioxide (CO2) removal, and adaptation
to a changing climate.

Unlike the other approaches, solar climate intervention (SCI), which
comprises various techniques, aims to modify Earth’s radiation budget—the
amounts and balance of solar energy that Earth absorbs and
reflects—directly. Implementing SCI means either decreasing inbound solar
(shortwave) radiation by reflecting it back into space before it is
absorbed or increasing the amount of outbound terrestrial (longwave)
radiation.

Potential methods of SCI include stratospheric aerosol injection (SAI),
marine cloud brightening, cirrus cloud thinning, surface albedo
modification, and space-based methods involving, for example, mirrors
(Figure 1). At present, the potential efficacy and risks of implementing
these approaches to reduce climate change are highly uncertain and likely
depend on how they are implemented.

The Geoengineering Modeling Research Consortium (GMRC) was founded to
coordinate SCI modeling research and to identify and resolve relevant
issues with physical models, especially where existing climate research is
unlikely to do so. Here we synthesize 2 years of GMRC meetings and
research, and we offer specific recommendations for future model
development.

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