Articles | Volume 13, issue 4
https://doi.org/10.5194/gmd-13-2051-2020
© Author(s) 2020. 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-13-2051-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
24 Apr 2020
Model description paper |
| 24 Apr 2020
| 24 Apr 2020
Modelling the mineralogical composition and solubility of mineral dust in the Mediterranean area with CHIMERE 2017r4
Laboratoire de Météorologie Dynamique, Ecole Polytechnique, IPSL Research University, Ecole Normale Supérieure, Université Paris-Saclay, Sorbonne Universités, UPMC Univ Paris 06, CNRS, Route de Saclay, 91128 Palaiseau, France
Guillaume Siour
Laboratoire Inter-Universitaire des Systèmes Atmosphériques, UMR CNRS 7583, Université Paris Est Créteil et Université de Paris, Institut Pierre Simon Laplace, Créteil, France
Bertrand Bessagnet
Institut National de l'Environnement Industriel et des Risques, Verneuil en Halatte, 60550, Parc Technologique ALATA, France
Florian Couvidat
Institut National de l'Environnement Industriel et des Risques, Verneuil en Halatte, 60550, Parc Technologique ALATA, France
Emilie Journet
Laboratoire Inter-Universitaire des Systèmes Atmosphériques, UMR CNRS 7583, Université Paris Est Créteil et Université de Paris, Institut Pierre Simon Laplace, Créteil, France
Yves Balkanski
Laboratoire des Sciences du Climat et de l'Environnement, CNRS, CEA, UVSQ, Gif sur Yvette, France
Karine Desboeufs
Laboratoire Inter-Universitaire des Systèmes Atmosphériques, UMR CNRS 7583, Université Paris Est Créteil et Université de Paris, Institut Pierre Simon Laplace, Créteil, France
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Cited
13 citations as recorded by crossref.
- Large synthesis of in situ field measurements of the size distribution of mineral dust aerosols across their life cycles P. Formenti & C. Di Biagio 10.5194/essd-16-4995-2024
- Evaluation of three chemical transport models for extreme PM10 events in Morocco and improvement of forecasts using hybrid CTM–Random Forest models Y. Chelhaoui et al. 10.1016/j.scitotenv.2025.180668
- A new optimized hybrid approach combining machine learning with WRF-CHIMERE model for PM10 concentration prediction Y. Chelhaoui et al. 10.1007/s40808-024-02086-0
- Inferring iron-oxide species content in atmospheric mineral dust from DSCOVR EPIC observations S. Go et al. 10.5194/acp-22-1395-2022
- The CHIMERE v2020r1 online chemistry-transport model L. Menut et al. 10.5194/gmd-14-6781-2021
- Impact of Lightning NOx Emissions on Atmospheric Composition and Meteorology in Africa and Europe L. Menut et al. 10.3390/atmos11101128
- Elemental ratios as tracers of the sources of mineral dust in north-eastern Sahara M. Boraiy et al. 10.1007/s13762-023-05077-3
- Synergistic Effects of the Urban-Rural Divide on Outdoor Airborne Bioaerosol Diffusion: A Case Study in the Monsoon Region of China T. Zhang et al. 10.53941/ges.2025.100002
- Infrared optical signature reveals the source–dependency and along–transport evolution of dust mineralogy as shown by laboratory study C. Di Biagio et al. 10.1038/s41598-023-39336-7
- Vertical Variability in morphology, chemistry and optical properties of the transported Saharan air layer measured from Cape Verde and the Caribbean S. Aryasree et al. 10.1098/rsos.231433
- Investigating the link between mineral dust hematite content and intensive optical properties by means of lidar measurements and aerosol modeling S. Gómez Maqueo Anaya et al. 10.5194/acp-25-9737-2025
- Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts M. Gonçalves Ageitos et al. 10.5194/acp-23-8623-2023
- The implementation of dust mineralogy in COSMO5.05-MUSCAT S. Gómez Maqueo Anaya et al. 10.5194/gmd-17-1271-2024
13 citations as recorded by crossref.
- Large synthesis of in situ field measurements of the size distribution of mineral dust aerosols across their life cycles P. Formenti & C. Di Biagio 10.5194/essd-16-4995-2024
- Evaluation of three chemical transport models for extreme PM10 events in Morocco and improvement of forecasts using hybrid CTM–Random Forest models Y. Chelhaoui et al. 10.1016/j.scitotenv.2025.180668
- A new optimized hybrid approach combining machine learning with WRF-CHIMERE model for PM10 concentration prediction Y. Chelhaoui et al. 10.1007/s40808-024-02086-0
- Inferring iron-oxide species content in atmospheric mineral dust from DSCOVR EPIC observations S. Go et al. 10.5194/acp-22-1395-2022
- The CHIMERE v2020r1 online chemistry-transport model L. Menut et al. 10.5194/gmd-14-6781-2021
- Impact of Lightning NOx Emissions on Atmospheric Composition and Meteorology in Africa and Europe L. Menut et al. 10.3390/atmos11101128
- Elemental ratios as tracers of the sources of mineral dust in north-eastern Sahara M. Boraiy et al. 10.1007/s13762-023-05077-3
- Synergistic Effects of the Urban-Rural Divide on Outdoor Airborne Bioaerosol Diffusion: A Case Study in the Monsoon Region of China T. Zhang et al. 10.53941/ges.2025.100002
- Infrared optical signature reveals the source–dependency and along–transport evolution of dust mineralogy as shown by laboratory study C. Di Biagio et al. 10.1038/s41598-023-39336-7
- Vertical Variability in morphology, chemistry and optical properties of the transported Saharan air layer measured from Cape Verde and the Caribbean S. Aryasree et al. 10.1098/rsos.231433
- Investigating the link between mineral dust hematite content and intensive optical properties by means of lidar measurements and aerosol modeling S. Gómez Maqueo Anaya et al. 10.5194/acp-25-9737-2025
- Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts M. Gonçalves Ageitos et al. 10.5194/acp-23-8623-2023
- The implementation of dust mineralogy in COSMO5.05-MUSCAT S. Gómez Maqueo Anaya et al. 10.5194/gmd-17-1271-2024
Latest update: 25 Oct 2025
Short summary
Modelling of mineral dust is often done using one single mean species. In this study, differentiated mineral species with their chemical composition are implemented in the CHIMERE regional chemistry-transport model by using global databases. Simulations are carried out to quantify the realism and gain of such mineralogy.
Modelling of mineral dust is often done using one single mean species. In this study, ...
