An empirically derived emission algorithm for wind-blown dust

摘要: [1] A wind-blown dust emission algorithm was developed by matching the frequency of high–aerosol optical depth (AOD) events derived from MODIS Deep Blue with friction velocities National Centers for Environmental Prediction's North American Mesoscale model. The threshold velocity is defined as that has same 0.75 AOD. AODs are converted to an flux used compute linear regression slope velocity. represents potential a particular land surface produce airborne and, in combination velocity, predictor emissions. Calculations test period June and July 2007 showed model prediction capture major measured plume timing magnitude, although peak tended be overpredicted many near-background level ambient concentrations were underpredicted. Most loadings attributed locations relatively low (<45 cm s−1), these only composed 9% total number source locations. There some evidence duration comparable 3 day sampling IMPROVE monitoring network. Higher temporal AIRNow observations at Phoenix surprisingly good fit magnitude model-predicted concentrations.