Articles | Volume 16, issue 5
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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Soon-Young Park on behalf of the Authors (21 Jan 2016)
ED: Publish as is (17 Feb 2016) by Alexander Baklanov
AR by Soon-Young Park on behalf of the Authors (29 Feb 2016)
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.
Final-revised paper