Articles | Volume 19, issue 4
https://doi.org/10.5194/gmd-19-1645-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-1645-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
27 Feb 2026
Model description paper |
| 27 Feb 2026
| 27 Feb 2026
The atmospheric composition component of the ICON modeling framework: ICON-ART version 2025.10
Gholam Ali Hoshyaripour
CORRESPONDING AUTHOR
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Andreas Baer
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Sascha Bierbauer
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Julia Bruckert
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Dominik Brunner
Swiss Federal Laboratories for Materials Science and Technology (EMPA), Dübendorf, Switzerland
Jochen Förstner
Deutscher Wetterdienst (DWD), Offenbach am Main, Germany
Arash Hamzehloo
Swiss Federal Laboratories for Materials Science and Technology (EMPA), Dübendorf, Switzerland
Valentin Hanft
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Corina Keller
Swiss Federal Laboratories for Materials Science and Technology (EMPA), Dübendorf, Switzerland
Martina Klose
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Pankaj Kumar
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Patrick Ludwig
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Enrico Metzner
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Lisa Muth
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Andreas Pauling
Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, Switzerland
Nikolas Porz
Deutscher Wetterdienst (DWD), Offenbach am Main, Germany
Maryam Ramezani Ziarani
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Mathematical Institute for Machine Learning and Data Science, Katholische Universität Eichstätt-Ingolstadt, Ingolstadt, Germany
Thomas Reddmann
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Luca Reißig
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Roland Ruhnke
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Khompat Satitkovitchai
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Axel Seifert
Deutscher Wetterdienst (DWD), Offenbach am Main, Germany
Miriam Sinnhuber
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Michael Steiner
Swiss Federal Laboratories for Materials Science and Technology (EMPA), Dübendorf, Switzerland
Stefan Versick
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Heike Vogel
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Michael Weimer
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Sven Werchner
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Corinna Hoose
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
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Short summary
This paper presents recent advances in ICON-ART, a modeling system that simulates atmospheric composition – such as gases and particles – and their interactions with weather and climate. By integrating updated chemistry, emissions, and aerosol processes, ICON-ART enables detailed, scale-spanning simulations. It supports both scientific research and operational forecasts, contributing to improved air quality, weather and climate predictions.
This paper presents recent advances in ICON-ART, a modeling system that simulates atmospheric...
