Articles | Volume 19, issue 13
https://doi.org/10.5194/acp-19-8619-2019
https://doi.org/10.5194/acp-19-8619-2019
Research article
 | 
08 Jul 2019
Research article |  | 08 Jul 2019

The 2015 and 2016 wintertime air pollution in China: SO2 emission changes derived from a WRF-Chem/EnKF coupled data assimilation system

Dan Chen, Zhiquan Liu, Junmei Ban, and Min Chen

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Cited articles

The Central Government of the People's Republic of China: The development of the western region in China: the twelfth five-year plan, Beijing, National Development and Reform Commission, 2012. 
The Central Government of the People's Republic of China: Strategic action Plan for Energy development (2014–2020), Beijing, State Council of the People's Republic of China, 2014. 
Chen, D., Liu, Z., Fast, J., and Ban, J.: Simulations of sulfate–nitrate–ammonium (SNA) aerosols during the extreme haze events over northern China in October 2014, Atmos. Chem. Phys., 16, 10707–10724, https://doi.org/10.5194/acp-16-10707-2016, 2016. 
Chen, D., Liu, Z., Ban, J., Zhao, P., and Chen, M.: Retrospective analysis of 2015–2017 wintertime PM2.5 in China: response to emission regulations and the role of meteorology, Atmos. Chem. Phys., 19, 7409–7427, https://doi.org/10.5194/acp-19-7409-2019, 2019. 
Chen, F. and Dudhia, J.: Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity, Mon. Weather Rev., 129, 569–585, 2001. 
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Short summary
We updated the WRF/Chem-EnKF DA system to quantitatively estimate SO2 emissions using hourly surface observations as constraints. The 2010 MEIC prior emissions were used to generate January 2015 and 2016 analyzed emissions, which revealed inhomogeneous SO2 emission changes for northern, western, and southern China. These changes were related to facts in reality, indicating that the updated DA system was capable of detecting emission deficiencies and optimizing emissions.
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