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
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
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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Total article views: 1,627 (including HTML, PDF, and XML)
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1,263
341
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1,627
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Viewed (geographical distribution)
Total article views: 1,975 (including HTML, PDF, and XML)
Thereof 1,666 with geography defined
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Total article views: 1,627 (including HTML, PDF, and XML)
Thereof 1,359 with geography defined
and 268 with unknown origin.
Total article views: 348 (including HTML, PDF, and XML)
Thereof 307 with geography defined
and 41 with unknown origin.
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, ...
