An empirically derived emission algorithm for wind-blown dust

A wind‐blown dust emission algorithm was developed by matching the frequency of high–aerosol optical depth (AOD) events derived from the MODIS Deep Blue algorithm with the frequency of friction velocities derived from National Centers for Environmental Prediction's North American Mesoscale mode...

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Bibliographic Details
Published in:Journal of Geophysical Research: Atmospheres 2010-08, Vol.115 (D16), p.n/a
Main Authors: Draxler, Roland R., Ginoux, Paul, Stein, Ariel F.
Format: Article
Language:English
Subjects:
Air pollution
Algorithms
Atmospheric aerosols
Atmospheric sciences
Climate change
Dust
Earth
Earth sciences
Earth, ocean, space
Emissions
Exact sciences and technology
Friction
Geophysics
HYSPLIT
MODIS Deep Blue
Optical analysis
Wind
wind-blown dust
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Summary:A wind‐blown dust emission algorithm was developed by matching the frequency of high–aerosol optical depth (AOD) events derived from the MODIS Deep Blue algorithm with the frequency of friction velocities derived from National Centers for Environmental Prediction's North American Mesoscale model. The threshold friction velocity is defined as the velocity that has the same frequency of as the 0.75 AOD. The AODs are converted to an emission flux that is used to compute the linear regression slope of the flux to the friction velocity. The slope represents the potential of a particular land surface to produce airborne dust and, in combination with the friction velocity, is used as a predictor for wind‐blown dust emissions. Calculations for a test period of June and July 2007 showed the model prediction to capture the major measured plume events in timing and magnitude, although peak events tended to be overpredicted and many of the near‐background level ambient concentrations were underpredicted. Most of the airborne dust loadings are attributed to locations with relatively low threshold friction velocities (
ISSN:0148-0227
2169-897X
2156-2202
2169-8996
DOI:10.1029/2009JD013167