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Global organic and inorganic aerosol hygroscopicity and its effect on radiative forcing

MPS-Authors
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Pöhlker,  Mira L.
Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society;

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Pöhlker,  Christopher
Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society;

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Pozzer,  Andrea
Atmospheric Chemistry, Max Planck Institute for Chemistry, Max Planck Society;

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Andreae,  Meinrat O.
Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society;

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Krüger,  Ovid O.
Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society;

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Walter,  David
Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society;

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Pöschl,  Ulrich
Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society;

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Citation

Pöhlker, M. L., Pöhlker, C., Quaas, J., Mülmenstädt, J., Pozzer, A., Andreae, M. O., et al. (2023). Global organic and inorganic aerosol hygroscopicity and its effect on radiative forcing. Nature Communications, 14: 6139. doi:10.1038/s41467-023-41695-8.


Cite as: https://hdl.handle.net/21.11116/0000-000D-D618-7
Abstract
The climate effects of atmospheric aerosol particles serving as cloud condensation nuclei (CCN) depend on chemical composition and hygroscopicity, which are highly variable on spatial and temporal scales. Here we present global CCN measurements, covering diverse environments from pristine to highly polluted conditions. We show that the effective aerosol hygroscopicity, κ, can be derived accurately from the fine aerosol mass fractions of organic particulate matter (ϵorg) and inorganic ions (ϵinorg) through a linear combination, κ = ϵorg ⋅ κorg + ϵinorg ⋅ κinorg. In spite of the chemical complexity of organic matter, its hygroscopicity is well captured and represented by a global average value of κorg = 0.12 ± 0.02 with κinorg = 0.63 ± 0.01 as the corresponding value for inorganic ions. By showing that the sensitivity of global climate forcing to changes in κorg and κinorg is small, we constrain a critically important aspect of global climate modelling.