Abstract

Abstract. Injecting sulfur dioxide into the stratosphere with the intent to create an artificial reflective aerosol layer is one of the most studied options for solar radiation management. Previous modelling studies have shown that stratospheric sulfur injections have the potential to compensate for the greenhouse-gas-induced warming at the global scale. However, there is significant diversity in the modelled radiative forcing from stratospheric aerosols depending on the model and on which strategy is used to inject sulfur into the stratosphere. Until now, it has not been clear how the evolution of the aerosols and their resulting radiative forcing depends on the aerosol microphysical scheme used – that is, if aerosols are represented by a modal or sectional distribution. Here, we have studied different spatio-temporal injection strategies with different injection magnitudes using the aerosol–climate model ECHAM-HAMMOZ with two aerosol microphysical modules: the sectional module SALSA (Sectional Aerosol module for Large Scale Applications) and the modal module M7. We found significant differences in the model responses depending on the aerosol microphysical module used. In a case where SO2 was injected continuously in the equatorial stratosphere, simulations with SALSA produced an 88 %–154 % higher all-sky net radiative forcing than simulations with M7 for injection rates from 1 to 100 Tg (S) yr−1. These large differences are identified to be caused by two main factors. First, the competition between nucleation and condensation: while injected sulfur tends to produce new particles at the expense of gaseous sulfuric acid condensing on pre-existing particles in the SALSA module, most of the gaseous sulfuric acid partitions to particles via condensation at the expense of new particle formation in the M7 module. Thus, the effective radii of stratospheric aerosols were 10 %–52 % larger in M7 than in SALSA, depending on the injection rate and strategy. Second, the treatment of the modal size distribution in M7 limits the growth of the accumulation mode which results in a local minimum in the aerosol number size distribution between the accumulation and coarse modes. This local minimum is in the size range where the scattering of solar radiation is most efficient. We also found that different spatial-temporal injection strategies have a significant impact on the magnitude and zonal distribution of radiative forcing. Based on simulations with various injection rates using SALSA, the most efficient studied injection strategy produced a 33 %–42 % radiative forcing compared with the least efficient strategy, whereas simulations with M7 showed an even larger difference of 48 %–116 %. Differences in zonal mean radiative forcing were even larger than that. We also show that a consequent stratospheric heating and its impact on the quasi-biennial oscillation depend on both the injection strategy and the aerosol microphysical model. Overall, these results highlight the crucial impact of aerosol microphysics on the physical properties of stratospheric aerosol which, in turn, causes significant uncertainties in estimating the climate impacts of stratospheric sulfur injections.

Highlights

  • Solar radiation management (SRM) techniques have been proposed to complement mitigation efforts to avoid greenhouse-gas-driven catastrophic global warming (e.g. Caldeira et al, 2013)

  • As the studies listed above show, there is a large diversity in radiative forcings for stratospheric aerosol intervention (SAI) between studies, and the differences depend on which general circulation model and microphysical module are used, how the injections are varied spatially and temporally, and the magnitude of the sulfur injections

  • As for the Wide scenario, the impact of the locally larger injection rate does not increase the effective radii of aerosols in SALSA as much as it does in M7, and the lifetime of particles was 10 % longer in the Narrow scenario compared with the Baseline scenario due to the impact of atmospheric circulation

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Summary

Introduction

Solar radiation management (SRM) techniques have been proposed to complement mitigation efforts to avoid greenhouse-gas-driven catastrophic global warming (e.g. Caldeira et al, 2013). Injecting 6 Tg (S) yr−1 in the study by Laakso et al (2020) resulted in a −3.72 W m−2 total radiative forcing, whereas achieving the same cooling effect required 20 Tg (S) yr−1 in the simulations of Niemeier and Timmreck (2015) Both studies used a different generation of the same general circulation model (GCM) ECHAM, but the main difference was how the aerosol microphysical processes were modelled. As the studies listed above show, there is a large diversity in radiative forcings for SAI between studies, and the differences depend on which general circulation model and microphysical module are used, how the injections are varied spatially and temporally, and the magnitude of the sulfur injections. Both modules are used to study how the simulated impacts of geoengineering depend on the injection strategy and injection magnitude as well as how these results depend on the aerosol microphysical module used

The ECHAM-HAMMOZ aerosol–climate model
Sectional aerosol module – SALSA
Modal aerosol module – M7
Scenarios
The dependency of radiative forcing on the amount of sulfur injected
Analysing the causes of differences between the SALSA and M7 results
Sensitivity scenarios – sensitivity to injection strategy
Sensitivity to the width of the injection area
Injecting into one grid box instead of into a band over longitudes
Sensitivity to injection altitude
Sensitivity to the temporal variation of injections
Seasonally changing injection area
Conclusions and discussion
Full Text
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