Articles | Volume 17, issue 7
https://doi.org/10.5194/acp-17-4837-2017
https://doi.org/10.5194/acp-17-4837-2017
Research article
 | 
13 Apr 2017
Research article |  | 13 Apr 2017

Improving PM2. 5 forecast over China by the joint adjustment of initial conditions and source emissions with an ensemble Kalman filter

Zhen Peng, Zhiquan Liu, Dan Chen, and Junmei Ban

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Short summary
In order to improve the forecasting of atmospheric aerosols over China, the ensemble square root filter algorithm was extended to simultaneously optimize the chemical initial conditions and primary and precursor emissions. This system was applied to assimilate hourly surface PM2.5 measurements. The forecasts with the optimized initial conditions and emissions typically outperformed those from the control experiment without data assimilation.
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