Articles | Volume 20, issue 10
https://doi.org/10.5194/acp-20-6015-2020
https://doi.org/10.5194/acp-20-6015-2020
Research article
 | 
20 May 2020
Research article |  | 20 May 2020

Improving air quality forecasting with the assimilation of GOCI aerosol optical depth (AOD) retrievals during the KORUS-AQ period

Soyoung Ha, Zhiquan Liu, Wei Sun, Yonghee Lee, and Limseok Chang

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This study examines the effect of aerosol optical depth (AOD) retrieved from the Korean Geostationary Ocean Color Imager (GOCI) sensors on surface PM2.5 forecasts using the online coupled WRF-Chem forecasting model and the GSI 3D-Var analysis system. During the KORUS-AQ campaign period, the assimilation of GOCI AOD retrieved at the 550 nm wavelength greatly improved air quality forecasting up to 24 h when assimilated with surface PM2.5 observations, particularly for heavy pollution events.
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