Advances in Earth Science ›› 2007, Vol. 22 ›› Issue (1): 66-73. doi: 10.11867/j.issn.1001-8166.2007.01.0066

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Applications of Data Assimilation in Air Quality Prediction

BAI  Xiao-ping 1, LI Hong 1, FANG Dong 1, HU Fei 2,Francesca Costabile 3,WANG Fen-juan 1   

  1. 1.Institute of Nuclear and Energy Technology, Tsinghua University, Beijing 100084,China;2.State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics Chinese Academy of Sciences, Beijing 100029,China;3.Institute for Atmospheric Pollution Italian National Research Council, Rome Italy
  • Received:2006-05-22 Revised:2006-10-23 Online:2007-01-10 Published:2007-01-10

BAI Xiao-ping, LI Hong, FANG Dong, HU Fei,Francesca Costabile,WANG Fen-juan. Applications of Data Assimilation in Air Quality Prediction[J]. Advances in Earth Science, 2007, 22(1): 66-73.

Along with the improvement of numerical models and the enhancement of observation technology, data assimilation has become an efficient method that can further improve numerical prediction level. Since the seventies of last century, data assimilation has been used in air quality prediction, and has become a new direction in the research on the atmospheric environmental science. The meaning of data assimilation is briefly described, and the basic principle, advantages and drawbacks of Kalman filter, four-dimensional variational assimilation and nudging methods are introduced in detail. The research progress of data assimilation in air quality prediction is mainly reviewed. The existing problems and further research directions of data assimilation applied in air quality prediction are discussed.

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