https://iopscience.iop.org/article/10.1088/2752-5295/ad9f91

*Authors*
Alistair Duffey and Peter James Irvine

*16 December 2024*

DOI 10.1088/2752-5295/ad9f91

*Abstract*
Stratospheric aerosol injection (SAI) is a proposed means of climate
intervention that could halt global temperature rise, though it would
imperfectly offset climate change. To estimate this imperfection, it is
common to compare the simulated climate under SAI against that of a
baseline state at the same global mean temperature without SAI. Here, we
combine a recent set of SAI simulations (ARISE-SAI-1.5) in the earth system
model UKESM1, with simulations of idealized abrupt and transient warming
scenarios, to assess the impact of transient warming through this baseline
state on surface climate changes attributed to SAI. We quantify the effect
of temperature stabilisation as the expected change in surface climate
between a climate state under warming and one in quasi-equilibrium at the
same global mean temperature. We estimate that accounting for temperature
stabilisation eliminates the land-sea warming ratio change attributed to
SAI. However, relative to the hypothetical scenario with lower CO2
concentrations that would achieve a stabilised climate at the same
temperature, SAI produces a 69% larger reduction in global precipitation.
Accounting for stabilisation can also meaningfully change the spatial
pattern of surface temperature response attributable to SAI. We repeat our
analysis for the GeoMIP G6sulfur scenario, to show that effects
qualitatively consistent with these findings are seen when comparing the
SAI state against the faster and slower warming baselines of the SSP5-8.5
and SSP2-4.5 scenarios. The changes in climate state attributable to
temperature stabilisation are generally small compared to changes due to
warming since pre-industrial. However, these differences can be significant
in the context of assessing residual changes under SAI because these
residuals are themselves roughly an order of magnitude smaller than the
effects of warming. Our findings have implications for the design and
assessment of future SAI simulations, and for the attribution of changes in
surface climate to SAI.

*Source: IOP Science*

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