Articles | Volume 15, issue 9
https://doi.org/10.5194/gmd-15-3969-2022
© Author(s) 2022. 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-15-3969-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
16 May 2022
Model description paper |
| 16 May 2022
| 16 May 2022
Description and evaluation of the community aerosol dynamics model MAFOR v2.0
Matthias Karl
CORRESPONDING AUTHOR
Chemistry Transport Modelling, Helmholtz-Zentrum Hereon, Geesthacht, Germany
Liisa Pirjola
Department of Physics, University of Helsinki, Helsinki, Finland
Department of Automotive and Mechanical Engineering, Metropolia University of Applied Sciences, Vantaa, Finland
Tiia Grönholm
Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
Mona Kurppa
Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
Srinivasan Anand
Health Physics Division, Bhabha Atomic Research Centre, Mumbai, India
Xiaole Zhang
Institute of Environmental Engineering (IfU), ETH Zürich, Zürich, Switzerland
Andreas Held
Environmental Chemistry and Air Research, Technische Universität Berlin, Berlin, Germany
Rolf Sander
Air Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany
Miikka Dal Maso
Aerosol Physics, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland
David Topping
Department of Earth and Environmental Science, University of Manchester, Manchester, UK
Shuai Jiang
School of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui, China
Leena Kangas
Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
Jaakko Kukkonen
Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
Centre for Atmospheric and Climate Physics Research, and Centre for Climate Change Research, University of Hertfordshire, Hatfield, UK
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Cited
8 citations as recorded by crossref.
- Dynamic harmonization of source-oriented and receptor models for source apportionment X. Zhang et al. 10.1016/j.scitotenv.2022.160312
- Current and future machine learning approaches for modeling atmospheric cluster formation J. Kubečka et al. 10.1038/s43588-023-00435-0
- Transport-related airborne nanoparticles: Sources, different aerosol modes, and their toxicity I. Vouitsis et al. 10.1016/j.atmosenv.2023.119698
- Atmospheric dispersion of chemical, biological, and radiological hazardous pollutants: Informing risk assessment for public safety X. Zhang & J. Wang 10.1016/j.jnlssr.2022.09.001
- Atmospherically Relevant Chemistry and Aerosol box model – ARCA box (version 1.2) P. Clusius et al. 10.5194/gmd-15-7257-2022
- Using the Multicomponent Aerosol FORmation Model (MAFOR) to Determine Improved VOC Emission Factors in Ship Plumes L. Fink et al. 10.3390/toxics12060432
- Measurement and Modeling of Ship-Related Ultrafine Particles and Secondary Organic Aerosols in a Mediterranean Port City M. Karl et al. 10.3390/toxics11090771
- Description and evaluation of the community aerosol dynamics model MAFOR v2.0 M. Karl et al. 10.5194/gmd-15-3969-2022
7 citations as recorded by crossref.
- Dynamic harmonization of source-oriented and receptor models for source apportionment X. Zhang et al. 10.1016/j.scitotenv.2022.160312
- Current and future machine learning approaches for modeling atmospheric cluster formation J. Kubečka et al. 10.1038/s43588-023-00435-0
- Transport-related airborne nanoparticles: Sources, different aerosol modes, and their toxicity I. Vouitsis et al. 10.1016/j.atmosenv.2023.119698
- Atmospheric dispersion of chemical, biological, and radiological hazardous pollutants: Informing risk assessment for public safety X. Zhang & J. Wang 10.1016/j.jnlssr.2022.09.001
- Atmospherically Relevant Chemistry and Aerosol box model – ARCA box (version 1.2) P. Clusius et al. 10.5194/gmd-15-7257-2022
- Using the Multicomponent Aerosol FORmation Model (MAFOR) to Determine Improved VOC Emission Factors in Ship Plumes L. Fink et al. 10.3390/toxics12060432
- Measurement and Modeling of Ship-Related Ultrafine Particles and Secondary Organic Aerosols in a Mediterranean Port City M. Karl et al. 10.3390/toxics11090771
1 citations as recorded by crossref.
Latest update: 23 Nov 2024
Short summary
The community aerosol dynamics model MAFOR includes several advanced features: coupling with an up-to-date chemistry mechanism for volatile organic compounds, a revised Brownian coagulation kernel that takes into account the fractal geometry of soot particles, a multitude of nucleation parameterizations, size-resolved partitioning of semi-volatile inorganics, and a hybrid method for the formation of secondary organic aerosols within the framework of condensation and evaporation.
The community aerosol dynamics model MAFOR includes several advanced features: coupling with an...
