Modelling of atmospheric variability in gas and  aerosols during the ACROSS campaign 2022  of the greater Paris area: evaluation of the  meteorology, dynamics and chemistry

Di Antonio, Ludovico; Beekmann, Matthias; Siour, Guillaume; Michoud, Vincent; Cantrell, Christopher; Bauville, Astrid; Bergé, Antonin; Cazaunau, Mathieu; Chevaillier, Servanne; Cirtog, Manuela; de Brito, Joel F.; Formenti, Paola; Gaimoz, Cecile; Garret, Olivier; Gratien, Aline; Gros, Valérie; Haeffelin, Martial; Hawkins, Lelia N.; Kotthaus, Simone; Noyalet, Gael; Pereira, Diana L.; Petit, Jean-Eudes; Pronovost, Eva Drew; Riffault, Véronique; Yu, Chenjie; Foret, Gilles; Doussin, Jean-François; Di Biagio, Claudia

doi:https://doi.org/10.5194/acp-25-4803-2025

Articles | Volume 25, issue 9

https://doi.org/10.5194/acp-25-4803-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Atmospheric Chemistry of the Suburban Forest – multiplatform...

https://doi.org/10.5194/acp-25-4803-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 9

Research article

|

09 May 2025

Research article |

| 09 May 2025

Modelling of atmospheric variability in gas and aerosols during the ACROSS campaign 2022 of the greater Paris area: evaluation of the meteorology, dynamics and chemistry

Ludovico Di Antonio, Matthias Beekmann, Guillaume Siour, Vincent Michoud, Christopher Cantrell, Astrid Bauville, Antonin Bergé, Mathieu Cazaunau, Servanne Chevaillier, Manuela Cirtog, Joel F. de Brito, Paola Formenti, Cecile Gaimoz, Olivier Garret, Aline Gratien, Valérie Gros, Martial Haeffelin, Lelia N. Hawkins, Simone Kotthaus, Gael Noyalet, Diana L. Pereira, Jean-Eudes Petit, Eva Drew Pronovost, Véronique Riffault, Chenjie Yu, Gilles Foret, Jean-François Doussin, and Claudia Di Biagio

Supplement

https://doi.org/10.5194/acp-25-4803-2025-supplement

Data sets

SIRTA Atmospheric Observatory IPSL https://sirta.ipsl.polytechnique.fr/sirta/data/data_search/

GEstion des données d'Observation de la qualité de l'AIR GEOD'AIR https://www.geodair.fr/donnees/api/

European Environment Agency EEA https://eeadmz1-downloads-webapp.azurewebsites.net/

ACROSS_IMTNE_RambForest_AMS_BelowCanopy_L2 J. Ferreira de Brito et al. https://doi.org/10.25326/492

ACROSS_IMTNE_RambForest_AMS_AboveCanopy_L2 J. Ferreira de Brito et al. https://doi.org/10.25326/491

PANAME Mixed Layer Height from high-SNR Automatic Aerosol Lidars S. Kotthaus et al. https://doi.org/10.25326/501

ACROSS_LISA_WRF-CHIMERE_HYSPLIT_Backtraj_1H G. Siour and L. Di Antonio https://doi.org/10.25326/543

ACROSS_LISA_ PRG_FIDAS_PM_1-Min_L2 L. Di Antonio et al. https://doi.org/10.25326/572

ACROSS_LISA_RambForest_SP2_ rBC_0220614_20220722 C. Yu and P. Formenti https://doi.org/10.25326/527

ACROSS_LISA_CHIMERE_BCRatio_1H L. Di Antonio et al. https://doi.org/10.25326/529

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Short summary

The summer of 2022 has been considered a proxy for future climate scenarios due to its hot and dry conditions. In this paper, we use the measurements from the Atmospheric Chemistry of the Suburban Forest (ACROSS) campaign, conducted in the Paris area in June–July 2022, along with observations from existing networks, to evaluate a 3D chemistry transport model (WRF–CHIMERE) simulation. Results are shown to be satisfactory, allowing us to explain the gas and aerosol variability at the campaign sites.