Quantifying the effects of mixing state on aerosol optical properties

Yao, Yu; Curtis, Jeffrey H.; Ching, Joseph; Zheng, Zhonghua; Riemer, Nicole

doi:https://doi.org/10.5194/acp-22-9265-2022

Articles | Volume 22, issue 14

https://doi.org/10.5194/acp-22-9265-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Particle-based methods for simulating atmospheric aerosol...

https://doi.org/10.5194/acp-22-9265-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 14

Research article

|

19 Jul 2022

Research article |

| 19 Jul 2022

Quantifying the effects of mixing state on aerosol optical properties

Yu Yao, Jeffrey H. Curtis, Joseph Ching, Zhonghua Zheng, and Nicole Riemer

Supplement

https://doi.org/10.5194/acp-22-9265-2022-supplement

Data sets

Data for: Quantifying the effects of mixing state on aerosol optical properties Yu Yao, Jeffrey Curtis, Joseph Ching, Zhonghua Zheng, and Nicole Riemer https://doi.org/10.13012/B2IDB-8157303_V1

Model code and software

PartMC: Particle-resolved Monte Carlo code for atmospheric aerosol simulation Nicole Riemer and Matthew West https://doi.org/10.5281/zenodo.5644422

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Short summary

Investigating the impacts of aerosol mixing state on aerosol optical properties has a long history from both the modeling and experimental perspective. In this study, we used particle-resolved simulations as a benchmark to determine the error in optical properties when using simplified aerosol representations. We found that errors in single scattering albedo due to the internal mixture assumptions can have substantial effects on calculating aerosol direct radiative forcing.