The atmospheric composition component of the ICON modeling framework: ICON-ART version 2025.10

Abstract. Accurate and efficient modeling of atmospheric composition, including aerosols and trace gases and their interactions with radiation, clouds, and dynamics is essential for improving predictions and understanding of air quality, weather, climate, and related health impacts. The Aerosols and Reactive Trace gases (ART) component extends the ICOsahedral Nonhydrostatic (ICON) modeling framework by enabling online, fully coupled simulations of atmospheric composition processes across scales. ICON-ART includes modules for emissions, transport, gas-phase chemistry, and aerosol microphysics in both the troposphere and stratosphere, allowing for the investigation of feedbacks between atmospheric composition and physical processes from the large-eddy to global scale. This paper presents an updated overview of the ICON-ART framework as implemented in version 2025.10, highlighting recent developments in emission parameterizations, chemical mechanisms, aerosol processes, and coupling to the physical core of ICON via aerosol–radiation and aerosol–cloud interactions. We summarize the structure of the code infrastructure and demonstrate the model’s flexibility and scalability across a wide range of applications. ICON-ART provides a unified and modular platform for research and operational use in atmospheric composition, bridging the gap between regional air quality modeling and global Earth system simulations.

Authors

Publication Details

Journal
Geoscientific model development
Published
2026-02-27
DOI
https://doi.org/10.5194/gmd-19-1645-2026
Primary Topic
Atmospheric Ozone and Climate
Type
article
Field-Weighted Citation Impact
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article

The atmospheric composition component of the ICON modeling framework: ICON-ART version 2025.10

Jochen Forstner, Lisa Janina Muth, Michael Weimer, Enrico P. Metzner et al.
Geoscientific model development
Atmospheric Ozone and Climate
article

The atmospheric composition component of the ICON modeling framework: ICON-ART version 2025.10

Jochen Forstner, Lisa Janina Muth, Michael Weimer, Enrico P. Metzner, Julia Bruckert, Sascha Bierbauer, Arash Hamzehloo, Andreas Baer, A. Pauling, Valentin Hanft, Sven Werchner, Stefan Versick, Nikolas Porz, Thomas Reddmann, Khompat Satitkovitchai, Corinna Hoose, Patrick Ludwig, Maryam Ramezani Ziarani, Martina Klose, Axel Seifert, Corina Keller, Pankaj Kumar, Dominik Brunner, Gholam Ali Hoshyaripour, Luca Reißig, Heike Vogel, Michael Steiner, Roland Ruhnke, Miriam Sinnhuber
article en

Abstract

Abstract. Accurate and efficient modeling of atmospheric composition, including aerosols and trace gases and their interactions with radiation, clouds, and dynamics is essential for improving predictions and understanding of air quality, weather, climate, and related health impacts. The Aerosols and Reactive Trace gases (ART) component extends the ICOsahedral Nonhydrostatic (ICON) modeling framework by enabling online, fully coupled simulations of atmospheric composition processes across scales. ICON-ART includes modules for emissions, transport, gas-phase chemistry, and aerosol microphysics in both the troposphere and stratosphere, allowing for the investigation of feedbacks between atmospheric composition and physical processes from the large-eddy to global scale. This paper presents an updated overview of the ICON-ART framework as implemented in version 2025.10, highlighting recent developments in emission parameterizations, chemical mechanisms, aerosol processes, and coupling to the physical core of ICON via aerosol–radiation and aerosol–cloud interactions. We summarize the structure of the code infrastructure and demonstrate the model’s flexibility and scalability across a wide range of applications. ICON-ART provides a unified and modular platform for research and operational use in atmospheric composition, bridging the gap between regional air quality modeling and global Earth system simulations.

Geoscientific model developmentVol. 19(4)
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Atmospheric Ozone and Climate
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