Atmos. Chem. Phys., 13, 2381-2390, 2013
www.atmos-chem-phys.net/13/2381/2013/
doi:10.5194/acp-13-2381-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
Comparing two years of Saharan dust source activation obtained by regional modelling and satellite observations
I. Tegen1, K. Schepanski2, and B. Heinold1,2
1Leibniz Institute for Tropospheric Research, Leipzig, Germany
2School of Earth and Environment, University of Leeds, Leeds, UK

Abstract. A regional-scale dust model is used to simulate Saharan dust emissions and atmospheric distributions in the years 2007 and 2008. The model results are compared to dust source activation events compiled from infrared dust index imagery from the geostationary Meteosat Second Generation (MSG) satellite. The observed morning maximum in dust source activation frequencies indicates that the breakdown of nocturnal low level jets is an important mechanism for dust source activation in the Sahara. The comparison shows that the time of the day of the onset of dust emission is delayed in the model compared to the observations. Also, the simulated number of dust emission events associated with nocturnal low level jets in mountainous regions is underestimated in the model. The MSG dust index observations indicate a strong increase in dust source activation frequencies in the year 2008 compared to 2007. The difference between the two years is less pronounced in the model. Observations of dust optical thickness, e.g. at stations of the sunphotometer network AERONET, do not show such increase, in agreement with the model results. This indicates that the number of observed dust activation events is only of limited use for estimating actual dust emission fluxes in the Sahara. The ability to reproduce interannual variability of Saharan dust with models remains an important challenge for understanding the controls of the atmospheric dust load.

Citation: Tegen, I., Schepanski, K., and Heinold, B.: Comparing two years of Saharan dust source activation obtained by regional modelling and satellite observations, Atmos. Chem. Phys., 13, 2381-2390, doi:10.5194/acp-13-2381-2013, 2013.
 
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