Assessing the impact of stratospheric aerosol injection on precipitation extremes in Africa using the ARISE-SAI-1.5 dataset
Quagraine, K. A., Tye, M., Quagraine, K. T., Tilmes, S., Simpson, I. R., et al. (2025). Assessing the impact of stratospheric aerosol injection on precipitation extremes in Africa using the ARISE-SAI-1.5 dataset. Environmental Research: Climate, doi:https://doi.org/10.1088/2752-5295/adee3c
| Title | Assessing the impact of stratospheric aerosol injection on precipitation extremes in Africa using the ARISE-SAI-1.5 dataset |
|---|---|
| Genre | Article |
| Author(s) | Kwesi A. Quagraine, Mari Tye, K. T. Quagraine, Simone Tilmes, Isla R. Simpson, F. Nkrumah, T. S. Egbebiyi, R. C. Odoulami, N. A. B. Klutse |
| Abstract | Stratospheric aerosol injection (SAI) is a proposed climate intervention method aimed at mitigating some of the impacts of anthropogenic global warming by enhancing the atmosphere’s reflectivity, thus reducing solar radiation reaching the Earth’s surface. While SAI’s extreme temperature-reducing effects are well-established, its impact on precipitation extremes remains uncertain, especially in Africa, a region highly vulnerable to climate change. Understanding SAI’s potential effects on precipitation extremes is crucial, as it could increase or decrease variability in precipitation patterns, thereby affecting food security and ecosystems. Our findings indicate that areas projected under SSP2-4.5 to experience intense precipitation, such as parts of West and Central Africa, are projected to experience a reduction in both the frequency and intensity of precipitation, whereas drier areas are expected to receive increased precipitation under the SSP2-4.5 scenario with SAI. Also, the response to this SAI scenario varies considerably across different regions, displaying a high degree of heterogeneity across multiple precipitation extreme indices. These findings underscore the need to explore other scenarios of SAI and for further regional studies to understand SAI’s implications better and to inform climate-policy decisions. |
| Publication Title | Environmental Research: Climate |
| Publication Date | Sep 30, 2025 |
| Publisher's Version of Record | https://doi.org/10.1088/2752-5295/adee3c |
| OpenSky Citable URL | https://n2t.net/ark:/85065/d7w09bfk |
| OpenSky Listing | View on OpenSky |
| ACOM Affiliations | MODELING |