Statistics – Computation
Scientific paper
May 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008georl..3509804l&link_type=abstract
Geophysical Research Letters, Volume 35, Issue 9, CiteID L09804
Statistics
Computation
4
Atmospheric Composition And Structure: Aerosols And Particles (0345, 4801, 4906), Atmospheric Processes: Regional Modeling, Atmospheric Processes: Land/Atmosphere Interactions (1218, 1631, 1843), Atmospheric Processes: Mesoscale Meteorology
Scientific paper
After a decade of research on improving the description of surface and soil features in desert regions to accurately model mineral dust emissions, we now emphasize the need for deeper evaluating the accuracy of modeled 10-m surface wind speeds U 10 . Two mesoscale models, the Lokal-Modell (LM) and the Regional Atmospheric Modeling System (RAMS), coupled with an explicit dust emission model have previously been used to simulate mineral dust events in the Bodélé region. We compare LM and RAMS U 10 , together with measurements at the Chicha site (BoDEx campaign) and Faya-Largeau meteorological station. Surface features and soil schemes are investigated to correctly simulate U 10 intensity and diurnal variability. The uncertainties in dust emissions computed with LM and RAMS U 10 and different soil databases are estimated. This sensitivity study shows the importance of accurate computation of surface winds to improve the quantification of regional dust emissions from the Bodélé
Bouet Christel
Cautenet Guy
Heinold B.
Laurent Bastien
Tegen Ina
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