Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
672005 | Particuology | 2015 | 11 Pages |
Abstract
- We performed a modeling study on 9-day severe PM2.5 pollution event in Shanghai on December 2013.
- 3D-variational GSI approach was used to assimilate PM2.5 to improve initial conditions.
- The improvement in the forecasts with data assimilation was clearly noted.
- Data assimilation improved aerosol forecasts for most of the stations in East China.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Fluid Flow and Transfer Processes
Authors
Jian-Bin Wu, Jianming Xu, Mariusz Pagowski, Fuhai Geng, Songqiang Gu, Guangqiang Zhou, Ying Xie, Zhongqi Yu,