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Understanding and improving model representation of aerosol optical properties...

Saide Peralta, M. Gao, Z. Lu, D. L. Goldberg, D. Streets, J. H. Woo, A. Beyersdorf, C. A. Corr, K. L. Thornhill, B. Anderson, J. W. Hair, A. R. Nehrir, G. S. Diskin, J. Jimenez-Palacios, B. Nault, P. Campuzano-Jost, J. Dibb, E. Heim, K. Lamb, J. Schwarz, A. Perring, J. Kim, M. Choi, B. Holben, G. Pfister, A. Hodzic, G. Carmichael, L. Emmons, and J. H. Crawford (2020), Understanding and improving model representation of aerosol optical properties for a Chinese haze event measured during KORUS-AQ, Atmos. Chem. Phys., 20, 6455-6478, doi:10.5194/acp-20-6455-2020.
Abstract: 

KORUS-AQ was an international cooperative air quality field study in South Korea that measured local and remote sources of air pollution affecting the Korean Peninsula during May–June 2016. Some of the largest aerosol mass concentrations were measured during a Chinese haze transport event (24 May). Air quality forecasts using the WRFChem model with aerosol optical depth (AOD) data assimilation captured AOD during this pollution episode but overpredicted surface particulate matter concentrations in South Korea, especially PM2.5 , often by a factor of 2 or larger. Analysis revealed multiple sources of model deficiency related to the calculation of optical properties from aerosol mass that explain these discrepancies. Using in situ observations of aerosol size and composition as inputs to the optical prop-

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