大气环境数值模拟研究新进展

第32卷第4期2008年7月

大　气　科　学

Chinese Journal of Atmospheric Sciences Vol 132　No 14

J ul.2008

王自发,庞成明,朱江,等.大气环境数值模拟研究新进展.大气科学,2008,32(4):987～995

Wang Zifa ,Pang Chengming ,Zhu Jiang ,et al.IAP Progress in at mospheric environment modeling research.Chinese J ournal of A t mos p heric

Sciences (in Chinese ),2008,32(4):987～995

收稿日期　2008203214,2008203217收修定稿

资助项目　中国科学院重要方向性项目KZCX22YW 2205

作者简介　王自发,男,1972年出生,研究员,研究方向:大气输送及模式发展。E 2mail :zifawang @

大气环境数值模拟研究新进展

王自发1　庞成明1,2　朱江1　安俊岭1　韩志伟1　廖宏1

1中国科学院大气物理研究所大气边界层物理与大气化学国家重点实验室,北京　1000292中国科学院研究生院,北京　100049

摘　要　近五年来,中国科学院大气物理研究所(简称大气所)在大气环境数值模拟方面取得了丰硕的成果,通过自主发展和引进,建立了完备的多尺度、多成分的大气环境数值模式,包括全球大气化学输送模式、区域和城市空气质量预报模式。大气所利用这些模式研究各种空间尺度上污染物浓度时空分布以及污染物的输送和演变,研究了多种污染过程的成因和污染变化规律,在污染物输送、低对流层臭氧高污染、区域及城市污染等方面取得了很多成果,并对区域或城市空气质量进行业务化实时预报。大气所还拓展了我国大气环境模拟研究的新领域:大气化学资料同化、污染模式集合预报、污染源反演新方法。初步建立了空气质量模式的资料同化系统(分别基于最优插值技术和集合卡曼滤波技术)和多模式集合预报体系,提高了模式预报水平;在污染源反演新方法方面进行了初步的探索。结合我国目前仍然面临着的大气环境问题,对今后大气环境数值模式的发展方向进行了展望。关键词　大气环境　数值模拟　空气质量模式

文章编号　100629895(2008)0420987209 中图分类号　X16 文献标识码　A

IAP Progress in Atmospheric Environment Modeling R esearch

WAN G Zifa 1,PAN G Chengming 1,2,ZHU Jiang 1,AN J unling 1,

HAN Zhiwei 1,and L IAO Hong 1

1S tate Key L aboratory of A t mos pheric B oundary L ayer Physics and A t mos p heric Chemist ry ,I nstit ute of A t mos p heric Physics ,

Chinese A cadem y of S ciences ,Bei j i ng 100029

2Graduate Universit y of Chi nese A cadem y of S ciences ,Bei j ing 100049

Abstract This paper provides a comprehensive ,critical review of the most important research progress in atmos 2pheric environment modeling research in the Institute of Atmospheric Physics ,Chinese Academy of Sciences (IA P/CAS )during recent five years.Multi 2scale ,mixed compositions atmospheric environment models have been inde 2pendently developed or introduced ,which include the global atmospheric chemical transport model ,the regional and urban air quality model.Distribution ,transportation and evolution of pollutants at different spatial scales are ex 2plored with these models.Understandings of natural and anthropogenic pollutants πtransport ,surface high ozone ep 2isode ,and regional or urban pollution are improved.The real 2time forecast model system for air quality is developed and used in a region or cities.It is firstly concerned in China that atmospheric chemical assimilation ,chemical trans 2port model ensemble forecast ,ensemble estimation method for inversing modeling of pollution emissions.Data as 2similation systems for nested air quality prediction model based on the optimal interpolation approach and Ensemble