Toward targeted observations of the meteorological initial state for improving the PM2.5 forecast of a heavy haze event that occurred in the Beijing–Tianjin–Hebei region
Lichao Yang,Wansuo Duan,Zifa Wang,and Wenyi Yang
Lichao Yang
LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing, 100029, China
LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing, 100029, China
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC-FEMD), Nanjing University of Information
Science and Technology, Nanjing, 210044, China
Zifa Wang
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing 100029, China
Wenyi Yang
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing 100029, China
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Total article views: 2,674 (including HTML, PDF, and XML)
Thereof 2,674 with geography defined
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Total article views: 2,069 (including HTML, PDF, and XML)
Thereof 2,069 with geography defined
and 0 with unknown origin.
Total article views: 605 (including HTML, PDF, and XML)
Thereof 595 with geography defined
and 10 with unknown origin.
The initial meteorological state has a great impact on PM2.5 forecasts. Assimilating additional observations is an effective way to improve the accuracy of the initial meteorological state. Here we used an advanced optimization approach to identify where we should preferentially place the meteorological observations associated with PM2.5 forecasts in the Beijing–Tianjin–Hebei region of China. We provide evidence that the target observation strategy is effective for improving PM2.5 forecasts.
The initial meteorological state has a great impact on PM2.5 forecasts. Assimilating additional...
