the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Drivers of reduced permafrost cooling efficacy of equatorial stratospheric aerosol injection in the Eastern Arctic compared to a moderate emission pathway
Abstract. The Arctic is warming about four times faster than the global average, with permafrost thaw representing a potential global climate tipping element. Given the insufficient rate of carbon emission reductions, stratospheric aerosol injection (SAI) has emerged as a strategy to abate climate warming. However, its effects on permafrost thaw drivers remain uncertain. The G6sulfur experiment, part of the Geoengineering Model Intercomparison Project (GeoMIP6), aims to reduce radiative forcing in the high-emission scenario (ssp585) to levels comparable to those in the moderate-emission scenario (ssp245) by injecting stratospheric aerosols near the equator. Analyzing the G6sulfur results, we find that this intervention alters atmospheric circulation, modifying winds, cloud properties, and the North Atlantic Oscillation, which affect temperature patterns and longwave radiation. These changes shift the relative importance of mechanisms driving summer permafrost thaw, resulting in a distinct spatial pattern: increased thaw depth in the Eastern Hemisphere (+0.51 ± 0.07 m) and decreased thaw in the Western Hemisphere (-0.26 ± 0.06 m), compared to the ssp245 scenario targeted by the intervention. While G6sulfur reduces radiative forcing to levels similar to ssp245 and slows permafrost decline by 2080–2099 relative to ssp585 (+4.61 ± 0.21 × 106 km2), it fails to preserve as much permafrost area as ssp245 (-1.08 ± 0.18 × 106 km2). By altering the drivers of permafrost dynamics, G6sulfur creates spatial variations in thaw patterns, resulting in an overall reduction in permafrost area compared to ssp245. Our findings underscore the need to better understand and optimize SAI deployment to avoid unintended regional impacts.
Status: final response (author comments only)
- RC1: 'Comment on egusphere-2026-1276', Anonymous Referee #1, 26 Apr 2026
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RC2: 'Comment on egusphere-2026-1276', Anonymous Referee #2, 08 May 2026
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2026/egusphere-2026-1276/egusphere-2026-1276-RC2-supplement.pdf
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General comments:
This study analyzes the cooling efficacy of equatorial stratospheric aerosol injection (SAI) geoengineering in preserving circum-Arctic permafrost, using results from six Earth system models participating in the GeoMIP G6sulfur experiment. This study selects 18 variables from GeoMIP model outputs and constructs all possible models to predict summer permafrost thaw depth, with each model comprising three predictors drawn from these 18 variables. Variance and correlation analyses are used to identify the most important variables driving differences in summer permafrost thaw depth between G6sulfur and SSP245 experiments. The main findings of this study include: G6sulfur can effectively preserve more high-latitude permafrost area than the SSP585 scenario, but is less effective than SSP245, which shares the same warming level as G6sulfur; Arctic summer permafrost thaw depth is deeper in the Eastern Hemisphere and shallower in the Western Hemisphere relative to SSP245; these differences can be attributed to altered large-scale atmospheric patterns under G6sulfur relative to SSP245.
Major comments:
The manuscript does not explain why the 18 variables are chosen. Variance and correlation analyses suggest the most important variables affecting summer permafrost thaw depth correspond well to the North Atlantic Oscillation, and these large-scale changes result in different permafrost responses between the Eastern Hemisphere and the Western Hemisphere. However, these results agree well with existing studies, such as Banerjee et al. (2021), Jones et al. (2021), and Chen et al. (2023).
Minor comments:
L79: The correct citation should be “Armstrong McKay et al. (2022)”.
L232: Please give the full name at the first appearance of LMG.
Section 2.1: The maximum soil depth is 2 m for UKESM1-0-LL. It is necessary to know if the model properly simulates the summer permafrost thaw depth and its difference between geoengineering and non-geoengineering scenarios.
Section 2.3: How is covariance quantified between variables? For example, how is the covariance between surface downwelling longwave radiation (rlds) and near-surface air temperature (tas) in winter, as shown in Figure 3a, quantified?
References:
Banerjee et al. (2021): Robust winter warming over Eurasia under stratospheric sulfate geoengineering – the role of stratospheric dynamics, https://doi.org/10.5194/acp-21-6985-2021.
Jones et al. (2021): North Atlantic Oscillation response in GeoMIP experiments G6solar and G6sulfur: why detailed modelling is needed for understanding regional implications of solar radiation management, https://doi.org/10.5194/acp-21-1287-2021.
Chen et al. (2023): Northern-high-latitude permafrost and terrestrial carbon response to two solar geoengineering scenarios, https://doi.org/10.5194/esd-14-55-2023.