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

<p>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 differentiated mineral species and the associated chemical composition. Differentiating between mineral species would also in...

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Main Authors: L. Menut, G. Siour, B. Bessagnet, F. Couvidat, E. Journet, Y. Balkanski, K. Desboeufs
Format: Article
Language:English
Published: Copernicus Publications 2020-04-01
Series:Geoscientific Model Development
Online Access:https://www.geosci-model-dev.net/13/2051/2020/gmd-13-2051-2020.pdf
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author L. Menut
G. Siour
B. Bessagnet
F. Couvidat
E. Journet
Y. Balkanski
K. Desboeufs
author_facet L. Menut
G. Siour
B. Bessagnet
F. Couvidat
E. Journet
Y. Balkanski
K. Desboeufs
author_sort L. Menut
collection DOAJ
description <p>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 differentiated mineral species and the associated chemical composition. Differentiating between mineral species would also induce different optical properties and densities and then different radiative impact, transport and deposition. In this study, the mineralogical differentiation is implemented in the CHIMERE regional chemistry-transport model, by using global databases. The results show that this implementation does not change the results much in terms of aerosol optical depth, surface concentrations and deposition fluxes. But the information on mineralogy, with a high spatial (a few kilometres) and temporal (1&thinsp;h) resolution, is now available and is ready to be used for future biogeochemical studies.</p>
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spelling doaj.art-278acdb8ac044ff999d69de1e3af6eeb2022-12-22T01:01:47ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032020-04-01132051207110.5194/gmd-13-2051-2020Modelling the mineralogical composition and solubility of mineral dust in the Mediterranean area with CHIMERE 2017r4L. Menut0G. Siour1B. Bessagnet2F. Couvidat3E. Journet4Y. Balkanski5K. Desboeufs6Laboratoire 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, FranceLaboratoire Inter-Universitaire des Systèmes Atmosphériques, UMR CNRS 7583, Université Paris Est Créteil et Université de Paris, Institut Pierre Simon Laplace, Créteil, FranceInstitut National de l'Environnement Industriel et des Risques, Verneuil en Halatte, 60550, Parc Technologique ALATA, FranceInstitut National de l'Environnement Industriel et des Risques, Verneuil en Halatte, 60550, Parc Technologique ALATA, FranceLaboratoire Inter-Universitaire des Systèmes Atmosphériques, UMR CNRS 7583, Université Paris Est Créteil et Université de Paris, Institut Pierre Simon Laplace, Créteil, FranceLaboratoire des Sciences du Climat et de l'Environnement, CNRS, CEA, UVSQ, Gif sur Yvette, FranceLaboratoire Inter-Universitaire des Systèmes Atmosphériques, UMR CNRS 7583, Université Paris Est Créteil et Université de Paris, Institut Pierre Simon Laplace, Créteil, France<p>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 differentiated mineral species and the associated chemical composition. Differentiating between mineral species would also induce different optical properties and densities and then different radiative impact, transport and deposition. In this study, the mineralogical differentiation is implemented in the CHIMERE regional chemistry-transport model, by using global databases. The results show that this implementation does not change the results much in terms of aerosol optical depth, surface concentrations and deposition fluxes. But the information on mineralogy, with a high spatial (a few kilometres) and temporal (1&thinsp;h) resolution, is now available and is ready to be used for future biogeochemical studies.</p>https://www.geosci-model-dev.net/13/2051/2020/gmd-13-2051-2020.pdf
spellingShingle L. Menut
G. Siour
B. Bessagnet
F. Couvidat
E. Journet
Y. Balkanski
K. Desboeufs
Modelling the mineralogical composition and solubility of mineral dust in the Mediterranean area with CHIMERE 2017r4
Geoscientific Model Development
title Modelling the mineralogical composition and solubility of mineral dust in the Mediterranean area with CHIMERE 2017r4
title_full Modelling the mineralogical composition and solubility of mineral dust in the Mediterranean area with CHIMERE 2017r4
title_fullStr Modelling the mineralogical composition and solubility of mineral dust in the Mediterranean area with CHIMERE 2017r4
title_full_unstemmed Modelling the mineralogical composition and solubility of mineral dust in the Mediterranean area with CHIMERE 2017r4
title_short Modelling the mineralogical composition and solubility of mineral dust in the Mediterranean area with CHIMERE 2017r4
title_sort modelling the mineralogical composition and solubility of mineral dust in the mediterranean area with chimere 2017r4
url https://www.geosci-model-dev.net/13/2051/2020/gmd-13-2051-2020.pdf
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