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1篇 您的检索式：作者名="Mariusz Pagowski"

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		题名	作者	年代	出处	被引量
	1	Modeling study of a severe aerosol pollution event in December 2013over Shanghai China:An application of chemical data assimilation显示文摘This study focuses on the importance of initial conditions to air-quality predictions.We ran assimilation experiments using the WRF-Chem model and grid-point statistical interpolation(GSI),for a 9-day severe particulate matter pollution event that occurred in Shanghai in December 2013.In this application,GSI used a three-dimensional variational approach to assimilate ground-based PM2.5 observations into the chemical model,to obtain initial fields for the aerosol species.In our results,data assimilation significantly reduced the errors when compared to a simulation without assimilation,and improved forecasts of PM_(2.5)concentrations.Despite a drop in skill directly after the assimilation,a positive effect was present in forecasts for at least 12-24 h,and there was a slight improvement in the 48-h forecasts.In addition to performing well in Shanghai,the verification statistics for this assimilation experiment are encouraging for most of the surface stations in China.	Jian-Bin Wu Jianming Xu Mariusz Pagowski Fuhai Geng Songqiang Gu Guangqiang Zhou Ying Xie Zhongqi Yu	2015	Particuology2015，13，3：	4

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