Natural variability can mask forced permafrost response to stratospheric
aerosol injection in the ARISE-SAI-1.5 simulations
Abstract
Stratospheric aerosol injection (SAI has been proposed as a potential
method for mitigating risks and impacts associated with anthropogenic
climate change. One such risk is widespread permafrost thaw and
associated carbon release. While permafrost has been shown to stabilize
under different SAI scenarios, natural variability may lead to a wide
range of projected climate futures under SAI. Here we use the 10-member
ensemble from the ARISE-SAI-1.5 simulations to assess the spread in
projected active layer depth and permafrost temperature across boreal
permafrost soils and specifically in four peatland and Yedoma regions.
The forced response in active layer depth and permafrost temperature
quickly diverge between an SAI and non-SAI world, but individual
ensemble members overlap for several years following SAI deployment.
Projected permafrost variability may mask the forced response to SAI and
make it difficult to detect if and when SAI is stabilizing permafrost in
any single realization. We find that it may take more than a decade of
SAI deployment to detect the effects of SAI on permafrost temperature
and almost 30 years to detect its effects on active layer depth. Not
only does natural variability make it more difficult to detect SAI’s
influence, it could also affect the likelihood of reaching a permafrost
tipping point. In some realizations, SAI fails to prevent a tipping
point that is also reached in a non-SAI world. Our results underscore
the importance of accounting for natural variability in assessments of
SAI’s potential influence on the climate system.