Atmospheric Composition Modeling and Analysis Program

Yu, H., et al. (2021), Observation and modeling of the historic “Godzilla” African dust intrusion into the Caribbean Basin and the southern US in June 2020, Atmos. Chem. Phys., 21, 12359-12383, doi:10.5194/acp-21-12359-2021.

Yang, A., et al. (2022), Global premature mortality by dust and pollution PM2.5 estimated from aerosol reanalysis of the modern-era retrospective analysis for research and applications, version 2, Frontiers in Environmental Science, 10, 975755, doi:10.3389/fenvs.2022.975755.

Li, C., et al. (2022), A new machine-learning-based analysis for improving satellite-retrieved atmospheric composition data: OMI SO2 as an example, Atmos. Meas. Tech., 15, 5497-5514, doi:10.5194/amt-15-5497-2022.

Colombi, N.K., et al. (2023), Why is ozone in South Korea and the Seoul metropolitan area so high and increasing?, Atmos. Chem. Phys., doi:10.5194/acp-23-4031-2023.

Yang, L.H., et al. (2023), Tropospheric NO2 vertical profiles over South Korea and their relation to oxidant chemistry: implications for geostationary satellite retrievals and the observation of NO2 diurnal variation from space, Atmos. Chem. Phys., doi:10.5194/acp-23-2465-2023.

Dang, R., et al. (2023), Background nitrogen dioxide (NO2 ) over the United States and its implications for satellite observations and trends: effects of nitrate photolysis, aircraft, and open fires, Atmos. Chem. Phys., doi:10.5194/acp-23-6271-2023.

Shah, V., et al. (2023), Nitrogen oxides in the free troposphere: implications for tropospheric oxidants and the interpretation of satellite NO2 measurements, Atmos. Chem. Phys., doi:10.5194/acp-23-1227-2023.

Version, P.-P., et al. (2023), An Adaptive Auto-Reduction Solver for Speeding Up Integration of Chemical Kinetics in Atmospheric Chemistry Models: Implementation and Evaluation in the Kinetic, J. Adv. Modeling Earth Syst., 15, e2022MS003293, doi:10.1029/2022MS003293.

Brewer, J.F., et al. (2023), A Scheme for Representing Aromatic Secondary Organic Aerosols in Chemical Transport Models: Application to Source Attribution of Organic Aerosols Over South Korea During the KORUS-AQ Campaign, J. Geophys. Res., e2022JD037257, doi:10.1029/2022JD037257.