Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 22, issue 19
Articles | Volume 22, issue 19
https://doi.org/10.5194/acp-22-13183-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-13183-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 19
Research article
 | 
14 Oct 2022
Research article |  | 14 Oct 2022

Four-dimensional variational assimilation for SO2 emission and its application around the COVID-19 lockdown in the spring 2020 over China

Yiwen Hu, Zengliang Zang, Xiaoyan Ma, Yi Li, Yanfei Liang, Wei You, Xiaobin Pan, and Zhijin Li

Data sets

NCEP FNL Operational Model Global Tropospheric Analyses National Centers for Environmental Prediction/National Weather Service/NOAA/US Department of Commerce https://rda.ucar.edu/datasets/ds083.2/

MEICv1.0-v1.3 Tsinghua University http://meicmodel.org/?page_id=541&lang=en

Real-time national air quality China National Environmental Monitoring Centre http://www.cnemc.cn/en/

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Short summary
This study developed a four-dimensional variational assimilation (4DVAR) system based on WRF–Chem to optimise SO2 emissions. The 4DVAR system was applied to obtain the SO2 emissions during the early period of the COVID-19 pandemic over China. The results showed that the 4DVAR system effectively optimised emissions to describe the actual changes in SO2 emissions related to the COVID lockdown, and it can thus be used to improve the accuracy of forecasts.
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