Spatiotemporal variability of NO2 and PM2.5 over Eastern China: observational 
and model analyses with a novel statistical method

Liu, Mengyao; Lin, Jintai; Wang, Yuchen; Sun, Yang; Zheng, Bo; Shao, Jingyuan; Chen, Lulu; Zheng, Yixuan; Chen, Jinxuan; Fu, May; Yan, Yingying; Zhang, Qiang; Wu, Zhaohua

doi:10.5194/acp-2017-1180

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Spatiotemporal variability of NO₂ and PM_2.5 over Eastern China: observational and model analyses with a novel statistical method

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Chen, Jinxuan
Airborne Trace Gas Measurements and Mesoscale Modelling, Dr. habil. C. Gerbig, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society;
IMPRS International Max Planck Research School for Global Biogeochemical Cycles, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Liu, M., Lin, J., Wang, Y., Sun, Y., Zheng, B., Shao, J., et al. (2018). Spatiotemporal variability of NO₂ and PM_2.5 over Eastern China: observational and model analyses with a novel statistical method. Atmospheric Chemistry and Physics Discussions. doi:10.5194/acp-2017-1180.

Cite as: https://hdl.handle.net/21.11116/0000-0000-C423-B

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