Modeling the atmospheric dust cycle: 2. Simulation of Saharan dust sources
- 27 February 1997
- journal article
- Published by American Geophysical Union (AGU) in Journal of Geophysical Research: Atmospheres
- Vol. 102 (D4) , 4387-4404
- https://doi.org/10.1029/96jd02964
Abstract
A soil‐derived dust emission scheme has been designed in order to provide simulation of mineral dust sources for atmospheric transport models [Marticorena and Bergametti, 1995]. This physical scheme considers the influence of surface features to compute the erosion threshold and the intensity of the dust emissions. It has been validated by comparison with relevant experimental data. However, it was necessary to extend its applicability and to test its capability to reproduce dust emissions over large arid areas. Specific methods have been developed to determine the parameters required by the dust production model for large‐scale applications. The surface features (dimensions of the roughness elements and soil mineralogy) and the wind velocity allow the computation of the roughness lengths of the surface, the size distribution of the erodible soils, and the wind friction velocity. A map of these surface characteristics has been established for the western part of the Sahara. This map coupled to the Europan Center for Medium‐Range Weather Forecast (ECMWF) surface wind fields are used to simulate dust emissions in this desert region. The simulated emissions have been compared to the Infrared Difference Dust Index (IDDI), determined by means of the Meteosat thermal infrared imagery. The simulated dust event frequencies are in good agreement with those observed by satellite. The comparison between the simulated fluxes and the satellite observations for 3 months of the year 1991 has revealed a linear relationship between the logarithm of the simulated flux and the IDDI. The annual and monthly dust emissions for 1991 and 1992 have been estimated and compared to those established by d'Almeida [1986]. Both the frequencies and the intensities of the emissions are well reproduced by the model associated with the surface features map.Keywords
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