Articles | Volume 16, issue 5
https://doi.org/10.5194/acp-16-3631-2016
https://doi.org/10.5194/acp-16-3631-2016
Research article
 | 
17 Mar 2016
Research article |  | 17 Mar 2016

Variational data assimilation for the optimized ozone initial state and the short-time forecasting

Soon-Young Park, Dong-Hyeok Kim, Soon-Hwan Lee, and Hwa Woon Lee

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Short summary
In order to improve the predictability of air quality, we optimize initial ozone state throughout the 4D-Var data assimilation. Previously developed code for the data assimilation has been modified to consider background error in matrix form, and various numerical tests are conducted. A surface observational assimilation is conducted and the statistical results for the 12 h assimilation periods show a 49.4 % decrease in RMSE and a 59.9 % increase in IOA.
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