Articles | Volume 21, issue 23
Atmos. Chem. Phys., 21, 17727–17741, 2021
https://doi.org/10.5194/acp-21-17727-2021

Special issue: Particle-based methods for simulating atmospheric aerosol...

Atmos. Chem. Phys., 21, 17727–17741, 2021
https://doi.org/10.5194/acp-21-17727-2021

Research article 03 Dec 2021

Research article | 03 Dec 2021

Quantifying the structural uncertainty of the aerosol mixing state representation in a modal model

Zhonghua Zheng et al.

Data sets

zzheng93/code_ms_ml_mam4: First release Zhonghua Zheng https://doi.org/10.5281/zenodo.4731385

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Short summary
Aerosol mixing state is an important emergent property that affects aerosol radiative forcing and aerosol–cloud interactions, but it has not been easy to constrain this property globally. We present a framework for evaluating the error in aerosol mixing state induced by aerosol representation assumptions, which is one of the important contributors to structural uncertainty in aerosol models. Our study provides insights into potential improvements to model process representation for aerosols.
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