Articles | Volume 20, issue 23
Atmos. Chem. Phys., 20, 14617–14647, 2020
https://doi.org/10.5194/acp-20-14617-2020
Atmos. Chem. Phys., 20, 14617–14647, 2020
https://doi.org/10.5194/acp-20-14617-2020

Research article 01 Dec 2020

Research article | 01 Dec 2020

Correcting model biases of CO in East Asia: impact on oxidant distributions during KORUS-AQ

Benjamin Gaubert et al.

Data sets

KORUS-AQ The Korea-United States Air Quality Field Study (KORUS-AQ) https://doi.org/10.5067/Suborbital/KORUSAQ/DATA01

MOPITT data UCAR https://www2.acom.ucar.edu/mopitt

Tropospheric Chemistry Reanalysis version 2 JPL https://tes.jpl.nasa.gov/chemical-reanalysis/products/monthly-mean/

Copernicus Atmosphere Monitoring Service (CAMS) global bottom-up emission inventory AERIS https://eccad3.sedoo.fr

Model code and software

CESM 2.1 Community Earth System Model https://doi.org/10.5065/D67H1H0V

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Short summary
This study investigates carbon monoxide pollution in East Asia during spring using a numerical model, satellite remote sensing, and aircraft measurements. We found an underestimation of emission sources. Correcting the emission bias can improve air quality forecasting of carbon monoxide and other species including ozone. Results also suggest that controlling VOC and CO emissions, in addition to widespread NOx controls, can improve ozone pollution over East Asia.
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