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Desert dust over the arid regions of Africa is detected using the InfraredDifference Dust Index (IDDI) derived from the thermal infrared (TIR) channelof METEOSAT. However, the comparison with photometric aerosol opticalthickness (AOT) of this dust index reveals some discrepancies. Using aninstrumented site in Sahel where aerosol properties and meteorologicalconditions were monitored daily during the dry season, we performedradiative transfer computations with the MODTRAN 4.1 code to develop amethod to improve the IDDI usefulness. We found that discrepancies betweenAOT and IDDI variations mostly come from changes in the surface temperature(Ts), which is an important parameter for radiative transfercomputations in the TIR. We show that this temperature varies from day today with the surface wind speed and during the course of the season with thesolar elevation, and that it is possible, for the site considered, tocorrect Ts from these combined effect using a simple parameterization.We also observe that the dust layer itself has an impact on Ts byreducing the amount of solar radiation at the surface, and that thisphenomenon can also be accounted for by adding an AOT-dependence to theabove parameterization of Ts. We show that this parameterization allowsimproving the agreement between the IDDI and the photometric AOT

Improvement of the detection of desert dust over the Sahel using METEOSAT IR imagery