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

Hoshyaripour, Gholam Ali ORCID iD icon 1; Baer, Andreas ORCID iD icon 2; Bierbauer, Sascha; Bruckert, Julia ORCID iD icon 1; Brunner, Dominik; Förstner, Jochen; Hamzehloo, Arash; Hanft, Valentin; Keller, Corina; Klose, Martina ORCID iD icon 1; Kumar, Pankaj 1; Ludwig, Patrick ORCID iD icon 1; Metzner, Enrico; Muth, Lisa ORCID iD icon 1; Pauling, Andreas; Porz, Nikolas; Ramezani Ziarani, Maryam; Reddmann, Thomas 1; Reißig, Luca 1; ... mehr

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. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000191033
Veröffentlicht am 27.02.2026
Originalveröffentlichung
DOI: 10.5194/gmd-19-1645-2026
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Atmosphärische Spurengase und Fernerkundung (IMKASF)
Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Scientific Computing Center (SCC)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2026
Sprache Englisch
Identifikator ISSN: 1991-9603
KITopen-ID: 1000191033
Erschienen in Geoscientific Model Development
Verlag Copernicus Publications
Band 19
Heft 4
Seiten 1645–1681
Vorab online veröffentlicht am 27.02.2026
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