Articles | Volume 15, issue 7
https://doi.org/10.5194/gmd-15-2773-2022
https://doi.org/10.5194/gmd-15-2773-2022
Development and technical paper
 | 
06 Apr 2022
Development and technical paper |  | 06 Apr 2022

Implementation of an ensemble Kalman filter in the Community Multiscale Air Quality model (CMAQ model v5.1) for data assimilation of ground-level PM2.5

Soon-Young Park, Uzzal Kumar Dash, Jinhyeok Yu, Keiya Yumimoto, Itsushi Uno, and Chul Han Song

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Latest update: 20 Nov 2024
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Short summary
An EnKF was applied to CMAQ for assimilating ground PM2.5 observations from China and South Korea. The EnKF performed better than that without assimilation and even superior to 3D-Var. The reduced MBs in 24 h predictions were 48 % and 27 % by improving ICs and BCs, respectively.