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Simulation of entrainment and transport of dust particles within North America in April 2001 (“Red Dust Episode”)
Author(s) -
Park S. H.,
Gong S. L.,
Zhao T. L.,
Vet R. J.,
Bouchet V. S.,
Gong W.,
Makar P. A.,
Moran M. D.,
Stroud C.,
Zhang J.
Publication year - 2007
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2007jd008443
Subject(s) - environmental science , entrainment (biomusicology) , atmospheric sciences , particulates , mineral dust , aeolian processes , wind speed , meteorology , geology , aerosol , physics , geomorphology , biology , rhythm , acoustics , ecology
A size‐resolved, multicomponent, regional‐scale particulate‐matter (PM) model named AURAMS (A Unified Regional Air‐quality Modelling System) has been used to study the entrainment and transport of dust from the southwestern United States and northwestern Mexico to eastern North America during the so‐called “Red Dust Episode” in April, 2001. Two different wind‐blown‐dust emission schemes, the Marticorena‐Bergametti‐Alfaro (MBA) scheme and the Shao scheme, were incorporated into AURAMS to simulate dust generation, and sensitivity analyses for various dust‐emission‐scheme parameters were performed. Comparison of the model results with satellite observations and surface measurements showed that the model simulation reasonably reproduced the temporal and spatial distribution of wind‐blown dust particles during the episode period in the downwind area of Oklahoma but not in the source region. Both dust‐emission schemes captured the main features of the dust transport. The dust‐emission‐scheme parameter most responsible for inaccurate prediction of wind‐blown‐dust emission in the source region in this study appeared to be soil moisture content. The soil grain size distribution and the soil plastic pressure were also shown to be important parameters that should be accurately estimated for better model performance. For further validation and reliable use of wind‐blown‐dust emission schemes, accurate field and remote sensing measurements of those parameters are imperative. The unusually fast transport of dust during the episode appeared to be due to vigorous vertical mixing and uplift of emitted dust. Appropriate parameterization of additional vertical mixing by sub‐grid‐scale convection may help to better predict the long‐range transport of dust storms.

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