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A New Aerosol Dry Deposition Model for Air Quality and Climate Modeling
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  • Jonathan E. Pleim,
  • Limei Ran,
  • Rick D. Saylor,
  • jeffrey A. Willison,
  • Francis S. Binkowski
Jonathan E. Pleim

Corresponding Author:[email protected]

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Limei Ran
United States Department of Agriculture, United States Department of Agriculture
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Rick D. Saylor
National Oceanic and Atmospheric Administration (NOAA), National Oceanic and Atmospheric Administration (NOAA)
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jeffrey A. Willison
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Francis S. Binkowski
University of North Carolina at Chapel Hill, University of North Carolina at Chapel Hill
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Dry deposition of aerosols from the atmosphere is an important but poorly understood and inadequately modeled process in atmospheric systems for climate and air quality. Comparisons of currently used aerosol dry deposition models to a compendia of published field measurement studies in various landscapes show very poor agreement over a wide range of particle sizes. In this study, we develop and test a new aerosol dry deposition model that is a modification of the current model in the Community Multiscale Air Quality (CMAQ) model that agrees much better with measured dry deposition velocities across particle sizes. The key innovation is the addition of a second inertial impaction term for microscale obstacles such as leaf hairs, microscale ridges, and needleleaf edge effects. The most significant effect of the new model is to increase the mass dry deposition of the accumulation mode aerosols in CMAQ. Accumulation mode mass dry deposition velocities increase by almost an order of magnitude in forested areas with lesser increases for shorter vegetation. Peak PM2.5 concentrations are reduced in some forested areas by up to 40% in CMAQ simulations. Over the continuous United States, the new model reduced PM2.5 by an average of 16% for July 2018 at the Air Quality System monitoring sites. For summer 2018 simulations, bias and error of PM2.5 concentrations are significantly reduced, especially in forested areas.