https://acp.copernicus.org/articles/24/12355/2024/

*Authors*
Ou Wang, Ju Liang, Yuchen Gu, Jim M. Haywood, Ying Chen, Chenwei Fang, and
Qin'geng Wang

*08 November 2024*

*Citations*: Wang, O., Liang, J., Gu, Y., Haywood, J. M., Chen, Y., Fang,
C., and Wang, Q.: Projected future changes in extreme precipitation over
China under stratospheric aerosol intervention in the UKESM1 climate model,
Atmos. Chem. Phys., 24, 12355–12373,
https://doi.org/10.5194/acp-24-12355-2024, 2024.

*Abstract*
Extreme precipitation events are linked to severe economic losses and
casualties in China every year; hence, exploring the potential mitigation
strategies to minimize these events and their changes in frequency and
intensity under global warming is of importance, particularly for the
populous subregions. In addition to global warming scenarios, this study
examines the effects of the potential deployment of stratospheric aerosol
injection (SAI) on hydrological extremes in China based on the SAI
simulations (G6sulfur) of the Geoengineering Model Intercomparison Project
(GeoMIP) by the UK Earth System Model (UKESM1) simulations. G6sulfur is
compared with simulations of the future climate under two different
emission scenarios (SSP5-8.5 and SSP2-4.5) and a reduction in the solar
constant (G6solar) to understand the effect of SAI on extreme precipitation
patterns. The results show that under global warming scenarios,
precipitation and extreme wet climate events during 2071–2100 are projected
to increase relative to the control period (1981–2010) across all the
subregions in China. Extreme drought events show a projected increase in
southern China. The G6sulfur and G6solar experiments show statistically
similar results to those under SSP2-4.5 in extreme precipitation
intensities of China in UKESM1. These results are encouraging. The efficacy
of SAI in decreasing extreme precipitation events and consecutive wet days
is more pronounced than that of G6solar when compared to SSP2-4.5. While
both G6sulfur and G6solar show drying at high-latitude regions, which is
consistent with our understanding of the spin-down of the hydrological
cycle under SRM. Given the limitations of the current model and the small
ensemble size, and considering that the hydrological effects are less
beneficial than those indicated for temperature, it is recommended that
further, more comprehensive research be performed, including using multiple
models, to better understand these impacts.

*Source: EGU*

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