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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/gmd-2019-337
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2019-337
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: model description paper 16 Jan 2020

Submitted as: model description paper | 16 Jan 2020

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This preprint is currently under review for the journal GMD.

Modelling the mineralogical composition and solubility of mineral dust in the Mediterranean area with CHIMERE 2017r4

Laurent Menut1, Guillaume Siour2, Bertrand Bessagnet3, Florian Couvidat3, Emilie Journet2, Yves Balkanski4, and Karine Desboeufs2 Laurent Menut et al.
  • 1Laboratoire 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
  • 2Laboratoire Inter-Universitaire des Systèmes Atmosphériques, UMR CNRS 7583, Université Paris Est Créteil et Universitéde Paris, Institut Pierre Simon Laplace, Créteil, France
  • 3Institut National de l’Environnement Industriel et des Risques, Verneuil en Halatte, 60550, Parc Technologique ALATA, France
  • 4Laboratoire des Sciences du Climat et de l’Environnement, CNRS, CEA, UVSQ, Gif sur Yvette, France

Abstract. Modelling of mineral dust is often done using one single mean species. But for biogeochemical studies, it could be useful to access to a more detailed information on differenciated mineral species and the associated chemical composition. The fact to differentiate mineral species would also induce different optical properties and densities, then different radiative impact, transport and deposition. In this study, the mineralogical differenciation in implemented in the CHIMERE regional chemistry-transport model, by using global databases. The results show that this implementation does not change a lot the results in term of Aerosol Optical Depth, surface concentrations and deposition fluxes. But the information on mineralogy, with a high spatial (a few kilometers) and temporal (one hour) resolution, is now available and is ready to be used for future biogeochemical studies.

Laurent Menut et al.

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Laurent Menut et al.

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Latest update: 28 Feb 2020
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Short summary
Modelling of mineral dust is often done using one single mean species. In this study, differenciated 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, ...
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