Aerosol Background Concentrations Influence Aerosol‐Cloud Interactions as Much as the Choice of Aerosol‐Cloud Parameterization

Abstract We use an independent observational estimate of aerosol‐cloud interactions (ACI) during the 2014 Holuhraun volcanic eruption in Iceland to evaluate four ACI parameterizations in a regional model. All parameterizations reproduce the observed pattern of liquid cloud droplet size reduction during the eruption, but strongly differ on its magnitude and on the resulting effective radiative forcing (ERF). Our results contradict earlier findings that this eruption could be used to constrain liquid water path (LWP) adjustments in models, except to exclude extremely high LWP adjustments of more than 20 . The modeled ERF is very sensitive to the non‐volcanic background aerosol concentration: doubling the non‐volcanic aerosol background weakens the ACI ERF by . Since aerosol biases in climate models can be an order of magnitude or more, these results suggest that aerosol background concentrations could be a major and under‐examined source of uncertainty for modeling ACI.

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Institutions

Publication Details

Journal
Geophysical Research Letters
Published
2025-04-21
DOI
https://doi.org/10.1029/2024gl111780
Citations
3
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
3.32

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article

Aerosol Background Concentrations Influence Aerosol‐Cloud Interactions as Much as the Choice of Aerosol‐Cloud Parameterization

Jean‐Christophe Raut, Jennie L. Thomas, Louis Marelle, Gunnar Myhre
3 citations
Geophysical Research Letters
Atmospheric aerosols and clouds
3.32
article

Aerosol Background Concentrations Influence Aerosol‐Cloud Interactions as Much as the Choice of Aerosol‐Cloud Parameterization

Jean‐Christophe Raut, Jennie L. Thomas, Louis Marelle, Gunnar Myhre
article en
3 citations

Abstract

Abstract We use an independent observational estimate of aerosol‐cloud interactions (ACI) during the 2014 Holuhraun volcanic eruption in Iceland to evaluate four ACI parameterizations in a regional model. All parameterizations reproduce the observed pattern of liquid cloud droplet size reduction during the eruption, but strongly differ on its magnitude and on the resulting effective radiative forcing (ERF). Our results contradict earlier findings that this eruption could be used to constrain liquid water path (LWP) adjustments in models, except to exclude extremely high LWP adjustments of more than 20 . The modeled ERF is very sensitive to the non‐volcanic background aerosol concentration: doubling the non‐volcanic aerosol background weakens the ACI ERF by . Since aerosol biases in climate models can be an order of magnitude or more, these results suggest that aerosol background concentrations could be a major and under‐examined source of uncertainty for modeling ACI.

Geophysical Research LettersVol. 52(8)
Institut polytechnique de Grenoble (FR), Centre National de la Recherche Scientifique (FR), Université de Versailles Saint-Quentin-en-Yvelines (FR), Sorbonne Université (FR), CICERO Center for International Climate Research (NO), Institut des Géosciences de l'Environnement (FR), Laboratoire atmosphères, milieux, observations spatiales (FR), Institut de Recherche pour le Développement (FR), Université Grenoble Alpes (FR)
Agence Nationale de la Recherche, Norges Forskningsråd, Horizon 2020 Framework Programme, HORIZON EUROPE Framework Programme, HORIZON EUROPE Climate, Energy and Mobility
Openalex Percentile: Top 9%
Atmospheric aerosols and clouds
3.32
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