Articles | Volume 14, issue 3
https://doi.org/10.5194/gmd-14-1681-2021
© Author(s) 2021. 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-14-1681-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
24 Mar 2021
Development and technical paper |
| 24 Mar 2021
| 24 Mar 2021
Influence of biomass burning vapor wall loss correction on modeling organic aerosols in Europe by CAMx v6.50
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen PSI, Switzerland
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen PSI, Switzerland
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen PSI, Switzerland
Giulia Stefenelli
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen PSI, Switzerland
Amelie Bertrand
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen PSI, Switzerland
Aix Marseille Univ, CNRS, LCE, Marseille, France
Nicolas Marchand
Aix Marseille Univ, CNRS, LCE, Marseille, France
Francesco Canonaco
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen PSI, Switzerland
Jean-Eudes Petit
Institut National de l'Environnement Industriel et des Risques
(INERIS), Verneuil-en-Halatte, France
Olivier Favez
Institut National de l'Environnement Industriel et des Risques
(INERIS), Verneuil-en-Halatte, France
Stefania Gilardoni
Italian National Research Council – Institute of Polar Sciences,
Bologna, Italy
Urs Baltensperger
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen PSI, Switzerland
André S. H. Prévôt
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen PSI, Switzerland
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Cited
7 citations as recorded by crossref.
- Organic aerosol sources in the Milan metropolitan area – Receptor modelling based on field observations and air quality modelling K. Daellenbach et al. 10.1016/j.atmosenv.2023.119799
- Modeling the drivers of fine PM pollution over Central Europe: impacts and contributions of emissions from different sources L. Bartík et al. 10.5194/acp-24-4347-2024
- Impact of the Atmospheric Photochemical Evolution of the Organic Component of Biomass Burning Aerosol on Its Radiative Forcing Efficiency: A Box Model Analysis T. Zhuravleva et al. 10.3390/atmos12121555
- Characterization of primary and aged wood burning and coal combustion organic aerosols in an environmental chamber and its implications for atmospheric aerosols A. Yazdani et al. 10.5194/acp-21-10273-2021
- Insights into the formation of secondary organic aerosols from agricultural residue burning emissions: A review of chamber-based studies S. Joshi et al. 10.1016/j.scitotenv.2024.175932
- Secondary organic aerosol formation via multiphase reaction of hydrocarbons in urban atmospheres using CAMx integrated with the UNIPAR model Z. Yu et al. 10.5194/acp-22-9083-2022
- Chemical evolution of primary and secondary biomass burning aerosols during daytime and nighttime A. Yazdani et al. 10.5194/acp-23-7461-2023
7 citations as recorded by crossref.
- Organic aerosol sources in the Milan metropolitan area – Receptor modelling based on field observations and air quality modelling K. Daellenbach et al. 10.1016/j.atmosenv.2023.119799
- Modeling the drivers of fine PM pollution over Central Europe: impacts and contributions of emissions from different sources L. Bartík et al. 10.5194/acp-24-4347-2024
- Impact of the Atmospheric Photochemical Evolution of the Organic Component of Biomass Burning Aerosol on Its Radiative Forcing Efficiency: A Box Model Analysis T. Zhuravleva et al. 10.3390/atmos12121555
- Characterization of primary and aged wood burning and coal combustion organic aerosols in an environmental chamber and its implications for atmospheric aerosols A. Yazdani et al. 10.5194/acp-21-10273-2021
- Insights into the formation of secondary organic aerosols from agricultural residue burning emissions: A review of chamber-based studies S. Joshi et al. 10.1016/j.scitotenv.2024.175932
- Secondary organic aerosol formation via multiphase reaction of hydrocarbons in urban atmospheres using CAMx integrated with the UNIPAR model Z. Yu et al. 10.5194/acp-22-9083-2022
- Chemical evolution of primary and secondary biomass burning aerosols during daytime and nighttime A. Yazdani et al. 10.5194/acp-23-7461-2023
Latest update: 23 Nov 2024
Short summary
We developed a box model with a volatility basis set to simulate organic aerosol (OA) from biomass burning and optimized the vapor-wall-loss-corrected OA yields with a genetic algorithm. The optimized parameterizations were then implemented in the air quality model CAMx v6.5. Comparisons with ambient measurements indicate that the vapor-wall-loss-corrected parameterization effectively improves the model performance in predicting OA, which reduced the mean fractional bias from −72.9 % to −1.6 %.
We developed a box model with a volatility basis set to simulate organic aerosol (OA) from...
