Articles | Volume 14, issue 1
https://doi.org/10.5194/gmd-14-223-2021
https://doi.org/10.5194/gmd-14-223-2021
Model experiment description paper
 | 
15 Jan 2021
Model experiment description paper |  | 15 Jan 2021

Numerical study of the effects of initial conditions and emissions on PM2.5 concentration simulations with CAMx v6.1: a Xi'an case study

Han Xiao, Qizhong Wu, Xiaochun Yang, Lanning Wang, and Huaqiong Cheng

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Cited articles

Briggs, G.: Discussions on chimney plumes in neutral and stable surroundings, Atmos. Environ., 6, 507–510, 1972. 
Briggs, G. A.: Plume rise and buoyancy effects. Atmospheric Science and Power Production. Dept. of Energy, U.S., 327–366, 1984. 
Cao, G., Zhang, X., Gong, S., An, X., and Wang, Y.: Emission inventories of primary particles and pollutant gases for China, Chinese Sci. Bull., 56, 781–788, https://doi.org/10.1007/s11434-011-4373-7, 2011. 
Cao, J. J., Shen, Z. X., Chow, J. C., Watson, J. G., Lee, S. C., Tie, X. X., Ho, K. F., Wang, G. H., and Han, Y. M.: Winter and summer PM2.5 chemical compositions in fourteen Chinese cities, J. Air Waste Manage., 62, 1214–1226, https://doi.org/10.1080/10962247.2012.701193, 2012. 
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Short summary
Few studies have investigated the effects of initial conditions on the simulation or prediction of PM2.5 concentrations. Here, sensitivity experiments are used to explore the effects of three initial mechanisms (clean, restart, and continuous) and emissions in Xi’an in December 2016. According to this work, if the restart mechanism cannot be used due to computing resource and storage space limitations when forecasting PM2.5 concentrations, a spin-up time of at least 27 h is needed.