Articles | Volume 19, issue 13
https://doi.org/10.5194/acp-19-8619-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-8619-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Jul 2019
Research article |
| 08 Jul 2019
| 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
Institute of Urban Meteorology, China Meteorological Administration,
Beijing, 100089, China
National Center for Atmospheric Research, Boulder, CO 80301, USA
Junmei Ban
National Center for Atmospheric Research, Boulder, CO 80301, USA
Min Chen
Institute of Urban Meteorology, China Meteorological Administration,
Beijing, 100089, China
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- The impacts of meteorology on source contributions of air pollution in winter in Beijing, 2015–2017 changes W. Wen et al. 10.1016/j.apr.2020.07.029
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- CO Emissions Inferred From Surface CO Observations Over China in December 2013 and 2017 S. Feng et al. 10.1029/2019JD031808
- The optimization of SO2 emissions by the 4DVAR and EnKF methods and its application in WRF-Chem Y. Hu et al. 10.1016/j.scitotenv.2023.163796
- Revealing the sulfur dioxide emission reductions in China by assimilating surface observations in WRF-Chem T. Dai et al. 10.5194/acp-21-4357-2021
- A model-based exploratory study of sulfur dioxide dispersions from concentrated animal feeding operations in the Southeastern United States J. Winchester et al. 10.1080/02723646.2021.1875583
- Optimization and Evaluation of SO2 Emissions Based on WRF-Chem and 3DVAR Data Assimilation Y. Hu et al. 10.3390/rs14010220
Latest update: 18 Apr 2024
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.
We updated the WRF/Chem-EnKF DA system to quantitatively estimate SO2 emissions using hourly...
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