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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 12, issue 2
Atmos. Chem. Phys., 12, 845-855, 2012
https://doi.org/10.5194/acp-12-845-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 12, 845-855, 2012
https://doi.org/10.5194/acp-12-845-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Technical note 18 Jan 2012

Technical note | 18 Jan 2012

Technical Note: High-resolution mineralogical database of dust-productive soils for atmospheric dust modeling

S. Nickovic1, A. Vukovic2,3, M. Vujadinovic2,3, V. Djurdjevic3,4, and G. Pejanovic3 S. Nickovic et al.
  • 1World Meteorological Organization, Geneva, Switzerland
  • 2Faculty of Agriculture, University of Belgrade, Serbia
  • 3South East European Virtual Climate Change Center, Belgrade, Serbia
  • 4Institute of Meteorology, University of Belgrade, Serbia

Abstract. Dust storms and associated mineral aerosol transport are driven primarily by meso- and synoptic-scale atmospheric processes. It is therefore essential that the dust aerosol process and background atmospheric conditions that drive dust emissions and atmospheric transport are represented with sufficiently well-resolved spatial and temporal features. The effects of airborne dust interactions with the environment determine the mineral composition of dust particles. The fractions of various minerals in aerosol are determined by the mineral composition of arid soils; therefore, a high-resolution specification of the mineral and physical properties of dust sources is needed.

Several current dust atmospheric models simulate and predict the evolution of dust concentrations; however, in most cases, these models do not consider the fractions of minerals in the dust. The accumulated knowledge about the impacts of the mineral composition in dust on weather and climate processes emphasizes the importance of including minerals in modeling systems. Accordingly, in this study, we developed a global dataset consisting of the mineral composition of the current potentially dust-producing soils. In our study, we (a) mapped mineral data to a high-resolution 30 s grid, (b) included several mineral-carrying soil types in dust-productive regions that were not considered in previous studies, and (c) included phosphorus.

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