1.College of Meteorology and Oceanography,PLA University of Science and Technology,Nanjing 211101; 2.No.93220 Unit of PLA,Harbin 150088; 3.No.75822 Unit of PLA,Guangzhou 510510; 4.No.95997 Unit of PLA,Beijing 100076
Abstract Atmospheric chemistry model is an important tool for analysis and forecasting of aerosol pollution.This paper introduces the WRF/Chem model and its aerosol parameterization schemes.MOSAIC scheme is considered both in perspective of computation cost and parameterization accuracy.The application of MOSAIC is more extensive in recent years.An aerosol data assimilation system developed corresponding to MOSAIC was introduced in detail.In this paper,the state variables of the system is extended by five to eight.In this system,both PM2.5 observations and other aerosol species observations corresponding to eight MOSAIC species can be assimilated.Finally,an ideal observation was assimilated using the data assimilation system to verify the rationality of it.The results show that the system meets the three-dimensional variational assimilation principle.
Hao Zilong,Cai Hengming,Wang Huipeng等. Aerosol data assimilation system for WRF/Chemmodel with MOSAIC scheme[J]. Meteorological Hydrological and Marine Instrument, 2014, 31(4): 1-6.
SEINFELD J H,PANDIS S N.Atmospheric chemistry and physics:from air pollution to climate change[M].John Wiley & Sons,2012.
[2]
HUANG J,FU Q,ZHANG W,et al.Dust and black carbon in seasonal snow across northern China[J].Bulletin of the American Meteorological Society,2011,92(2):175-181.
LI Z,ZANG Z,LI Q B,et al.A three-dimensional variational data assimilation system for multiple aerosol species with WRF/Chem and an application to PM 2.5 prediction[J].Atmospheric Chemistry and Physics,2013,13(8):4265-4278.
[8]
GRELL G A,PECKHAM S E,SCHMIT Z R,et al.Fully coupled "online" chemistry within the WRF model[J].Atmospheric Environment,2005,39(37):6957-6975.
[9]
ACKERMANN I J,HASS H,MEMMESHEIMER M,et al.Modal aerosol dynamics model for Europe:Development and first applications[J].Atmospheric environment,1998,32(17):2981-2999.
[10]
SCHELL B,ACKERMANN I J,HASS H,et al.Modeling the formation of secondary organic aerosol within a comprehensive air quality model system[J],Journal of Geophysical Research Atmospheres,2001,106(28):275-293.
[11]
CHIN M,ROOD R B,LIN S J,et al.Atmospheric sulfur cycle simulated in the global model GOCART:Model description and global properties[J].Journal of Geophysical Research:Atmospheres (1984-2012),2000,105(D20):24671-24687.
[12]
ZAVERI R A,EASTER R C,FAST J D,et al.Model for simulating aerosol interactions and chemistry (MOSAIC)[J].Journal of Geophysical Research:Atmospheres (1984-2012),2008,113(D13).:204-218.
[13]
JIANG Z,LIU Z,WANG T,et al.Probing into the impact of 3DVAR assimilation of surface PM10 observations over China using process analysis[J].Journal of Geophysical Research:Atmospheres,2013,118(12):6738-6749.
[14]
SAIDE P E,CARMICHAEL G R,LIU Z,et al.Aerosol optical depth assimilation for a size-resolved sectional model:impacts of observationally constrained,multi-wavelength and fine mode retrievals on regional scale forecasts[J].Atmospheric Chemistry and Physics Discussions,2013,13(5):12213-12261.
[15]
LORENC A C.Analysis methods for numerical weather prediction[J].Quarterly Journal of the Royal Meteorological Society,1986,112(474):1177-1194.
2014, Vol. 31 
