Articles | Volume 22, issue 12
Atmos. Chem. Phys., 22, 7933–7958, 2022
https://doi.org/10.5194/acp-22-7933-2022
Atmos. Chem. Phys., 22, 7933–7958, 2022
https://doi.org/10.5194/acp-22-7933-2022
Research article
20 Jun 2022
Research article | 20 Jun 2022

Limitations in representation of physical processes prevent successful simulation of PM2.5 during KORUS-AQ

Katherine R. Travis et al.

Data sets

KORUS-AQ Data KORUS-AQ Science Team https://doi.org/10.5067/Suborbital/KORUSAQ/DATA01

Automated Surface Observation System, ASOS Iowa Environmental Mesonet http://mesonet.agron.iastate.edu/request/download.phtml

Model code and software

Supporting Information for "Limitations in representation of physical processes prevents successful simulation of PM2.5 during KORUS-AQ" K. R. Travis https://doi.org/10.5281/zenodo.5620667

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Short summary
The 2016 Korea–United States Air Quality (KORUS-AQ) field campaign provided a unique set of observations to improve our understanding of PM2.5 pollution in South Korea. Models typically have errors in simulating PM2.5 in this region, which is of concern for the development of control measures. We use KORUS-AQ observations to improve our understanding of the mechanisms driving PM2.5 and the implications of model errors for determining PM2.5 that is attributable to local or foreign sources.
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