We ran a 3-D model of atmospheric composition (GEOS-Chem-TOMAS) that represents changes in aerosol number and component mass due to condensation/evaporation, coagulation, and nucleation across 15 size bins ranging from 3 nm to 10 𝜇m. We ran the model using MERRA-2 meteorology over the central United States for 2019 and compared aerosol size distributions with measurements at the Southern Great Plains (SGP) observatory, Oklahoma. Finally, we compared the modeled aerosol size distributions at the SGP observatory with aerosol size distributions derived along Lagrangian trajectories passing over the SGP site.
GEOS-Chem is generally able to simulate the frequency of NPF, undefined (evidence of NPF but unable to quantify nucleation and growth rates), and non-event days. Additionally, in comparing the Lagrangian and stationary perspectives, we are able to re-categorize the majority of undefined NPF events as either non-events or NPF events. We find that most of the undefined NPF events are due to isolated and inhomogeneous NPF occurring upwind of the stationary site, often in the plume outflow of urban regions. Finally, since aerosol size distributions along the Lagrangian trajectories are more continuous, we can derive particle growth and nucleation rates for many of the undefined NPF events, which has not been possible before. We will present an analysis of several case studies, highlighting the discrepancies between the Lagrangian and stationary size distributions, and we will examine some of the potential implications for our understanding of NPF and growth in the atmosphere.
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