Articles | Volume 22, issue 3
https://doi.org/10.5194/acp-22-1739-2022
https://doi.org/10.5194/acp-22-1739-2022
Research article
 | 
04 Feb 2022
Research article |  | 04 Feb 2022

Limitations of assuming internal mixing between different aerosol species: a case study with sulfate geoengineering simulations

Daniele Visioni, Simone Tilmes, Charles Bardeen, Michael Mills, Douglas G. MacMartin, Ben Kravitz, and Jadwiga H. Richter

Related authors

Stratospheric aerosol injection geoengineering has the potential to increase land carbon storage and to protect the Amazon rainforest
Isobel M. Parry, Paul D. L. Ritchie, Olivier Boucher, Peter M. Cox, James M. Haywood, Ulrike Niemeier, Roland Séférian, Simone Tilmes, and Daniele Visioni
Earth Syst. Dynam., 17, 387–414, https://doi.org/10.5194/esd-17-387-2026,https://doi.org/10.5194/esd-17-387-2026, 2026
Short summary
The global climate response to High-Latitude Low-Altitude Stratospheric Aerosol Injection (HiLLA-SAI)
Alistair Duffey, Walker Lee, Lauren Wheeler, Peter Irvine, Benjamin Wagman, Matthew Henry, Daniele Visioni, Michel Tsamados, and Douglas MacMartin
Earth Syst. Dynam., 17, 353–385, https://doi.org/10.5194/esd-17-353-2026,https://doi.org/10.5194/esd-17-353-2026, 2026
Short summary
A Climate Intervention Dynamical Emulator (CIDER) for scenario space exploration
Jared Farley, Douglas G. MacMartin, Daniele Visioni, Ben Kravitz, Ewa M. Bednarz, Alistair Duffey, Matthew Henry, and Ali Akherati
Geosci. Model Dev., 19, 1809–1831, https://doi.org/10.5194/gmd-19-1809-2026,https://doi.org/10.5194/gmd-19-1809-2026, 2026
Short summary
Uncertainties of SAI efficiency and impacts depending on the complexity of the aerosol microphysical model
Simone Tilmes, Daniele Visioni, Ilaria Quaglia, Yunqian Zhu, Charles G. Bardeen, Francis Vitt, and Pengfei Yu
Atmos. Chem. Phys., 26, 2649–2666, https://doi.org/10.5194/acp-26-2649-2026,https://doi.org/10.5194/acp-26-2649-2026, 2026
Short summary
Middle atmosphere chemical and dynamical effects in the CCMI-2022 stratospheric aerosol injection scenario
Andrin Jörimann, Timofei Sukhodolov, Simone Tilmes, David Plummer, Shingo Watanabe, Hideharu Akiyoshi, Gabriel Chiodo, Daniele Visioni, Sandro Vattioni, Eugene Rozanov, Ewa M. Bednarz, Béatrice Jossé, Yousuke Yamashita, and Thomas Peter
EGUsphere, https://doi.org/10.5194/egusphere-2026-444,https://doi.org/10.5194/egusphere-2026-444, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary

Cited articles

Ayala, A., Brauer, M., Mauderly, J. L., and Samet, J. M.: Air pollutants and sources associated with health effects, Air Qual. Atmos. Hlth., 5, 151–167, 2012. a
Bardeen, C. G., Gettelman, A., Jensen, E. J., Heymsfield, A., Conley, A. J., Delanoë, J., Deng, M., and Toon, O. B.: Improved cirrus simulations in a general circulation model using CARMA sectional microphysics, J. Geophys. Res.-Atmos., 118, 11679–11697, https://doi.org/10.1002/2013JD020193, 2013. a
Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster, P., Kerminen, V.-M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh, S., Sherwood, S., Stevens, B., and Zhang, X.: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, in: Fifth Assessment Report of the Intergovernmental Panel on Climate Change, IPCC, available at: https://www.ipcc.ch/site/assets/uploads/2018/02/WG1AR5_Chapter07_FINAL-1.pdf (last access: 12 January 2022), 2013. a
Bretherton, C. S. and Park, S.: A New Moist Turbulence Parameterization in the Community Atmosphere Model, J. Climate, 22, 3422–3448, https://doi.org/10.1175/2008JCLI2556.1, 2009. a
Budyko, M. I.: The effect of solar radiation variations on the climate of the Earth, Tellus, 21, 611–619, https://doi.org/10.1111/j.2153-3490.1969.tb00466.x, 1969. a
Download
Short summary
Aerosols are simulated in a simplified way in climate models: in the model analyzed here, they are represented in every grid as described by three simple logarithmic distributions, mixing all different species together. The size can evolve when new particles are formed, particles merge together to create a larger one or particles are deposited to the surface. This approximation normally works fairly well. Here we show however that when large amounts of sulfate are simulated, there are problems.
Share
Altmetrics
Final-revised paper
Preprint