ICON-ART: atmospheric composition component of ICON modeling framework

Aerosol and Reactive Trace gases (ART) is a component of the ICON modeling framework that enables explicit treatment of atmospheric composition and its interactions with clouds and radiation. ART encompasses emission, transport and removal processes of trace gases and aerosols in the troposphere and stratosphere along with their transformations due to chemistry and aerosol microphysics.

ICON-ART is a powerful tool used in various scientific domains including air quality modeling, tracer transport, weather forecasting and climate studies. German Weatherservice (DWD) uses ICON-ART for operational forecasts of mineral dust and pollen. It is also used by MeteoSwiss for pollen forecasts.

Release Download

For downloading the latest release of the code please visit ICON website. The current release is tested and thus supports the following configurations. Any other configuration and combination of processes is not fully tested and thus, currently cannot be supported. The input data for these configurations are here

How to cite

For citing the source code please visit ICON website. The following publications document the main development and features the ICON-ART code:

  • Schröter, J., Rieger, D., Stassen, C., Vogel, H., Weimer, M., Werchner, S., Förstner, J., Prill, F., Reinert, D., Zängl, G., Giorgetta, M., Ruhnke, R., Vogel, B., and Braesicke, P.: ICON-ART 2.1: a flexible tracer framework and its application for composition studies in numerical weather forecasting and climate simulations, Geosci. Model Dev., 11, 4043-4068, https://doi.org/10.5194/gmd-11-4043-2018, 2018.
  • Rieger, D., Bangert, M., Bischoff-Gauss, I., Förstner, J., Lundgren, K., Reinert, D., Schröter, J., Vogel, H., Zängl, G., Ruhnke, R., and Vogel, B.: ICON–ART 1.0 – a new online-coupled model system from the global to regional scale, Geosci. Model Dev., 8, 1659-1676, https://doi.org/10.5194/gmd-8-1659-2015, 2015.

Training course for the model system ICON-ART


The ICON-ART training is planned for 18-19 June 2024 online. The course is co-organized by KIT (IMKTRO, IMKASF) and EMPA and includes lectures on theoretical/technical backgrounds and hands-on experiments on HPC system of DKRZ.