Articles | Volume 16, issue 5
Atmos. Chem. Phys., 16, 3041–3059, 2016
https://doi.org/10.5194/acp-16-3041-2016
Atmos. Chem. Phys., 16, 3041–3059, 2016
https://doi.org/10.5194/acp-16-3041-2016

Research article 09 Mar 2016

Research article | 09 Mar 2016

Simulating secondary organic aerosol in a regional air quality model using the statistical oxidation model – Part 2: Assessing the influence of vapor wall losses

Christopher D. Cappa et al.

Data sets

SEAC4RS: Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys NASA Langley Research Center, Hampton, VA, USA https://doi.org/10.5067/Aircraft/SEAC4RS/Aerosol-TraceGas-Cloud

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Short summary
Losses of vapors to walls of chambers can negatively bias SOA formation measurements, consequently leading to low predicted SOA concentrations in air quality models. Here, we show that accounting for such vapor losses leads to substantial increases in the predicted amount of SOA formed from VOCs and to notable increases in the O : C atomic ratio in two US regions. Comparison with a variety of observational data suggests generally improved model performance when vapor wall losses are accounted for.
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