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An empirical algorithm is developed for calculating bulkdry deposition velocity (Vd) of fine (PM2.5) – particles having adiameter of ≤ 2.5 μm), coarse (PM2.5−10 – particles havinga diameter of 2.5–10 μm), and giant (PM10+ – particles having adiameter of > 10 μm) atmospheric particles. The algorithmis developed from an empirical fit of Vd data calculated using thesize-resolved Vd scheme of Zhang et al. (2001) with assumed lognormalsize distributions of PM2.5, PM2.5−10 and PM10+. In the newalgorithm, the surface deposition velocity (Vds) is parameterized as asimple linear function of friction velocity (u*) for PM2.5 andas a polynomial function of u* for both PM2.5−10 andPM10+ over all the 26 land use categories (LUCs). An adjustment factoras an exponential function of u* and leaf area index (LAI) is alsoapplied to Vds of PM2.5−10 and PM10+ over 9 of the 26 LUCsthat have variable LAI. Constant gravitational settling velocities areprovided for PM2.5, PM2.5−10 and PM10+. Aerodynamicresistance between a reference height and the surface can be calculatedusing available analytical formulas from the literature. The bulk Vd ofPM2.5, PM2.5−10 and PM10+ at the reference height can thenbe calculated by combining the gravitational settling velocity, aerodynamicresistance and the parameterized Vds. Vd values calculated using thenew algorithm are within ±20% of those using the originalsize-resolved scheme for fine, coarse and giant particles. Uncertainties inVd values from the new algorithm due to the pre-assumed sizedistributions are on the order of 20% for fine particles and on the orderof a factor of 2.0 for coarse and giant particles. The new algorithmprovides an alternative approach for calculating Vd of bulk aerosolparticles. Vd of any particulate species can be simply estimated usingthis scheme as long as the mass fractions in fine, coarse and giant particlesare known or can be assumed

Technical Note: An empirical algorithm estimating dry deposition velocity of fine, coarse and giant particles