EGU24-7013, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-7013
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Large discrepancy between observed and modeled wintertimetropospheric NO2 variabilities due to COVID-19 controls in China

Jiaqi Chen1, Zhe Jiang1, Kazuyuki Miyazaki3, and Dylan Jones4
Jiaqi Chen et al.
  • 1School of Earth and Space Sciences, University of Science and Technology of China
  • 3Jet Propulsion Laboratory, California Institute of Technology, Pasadena
  • 4Department of Physics, University of Toronto, Toronto

Recent studies demonstrated the difficulties to explain observed tropospheric nitrogen dioxide (NO2) variabilities over the United States and Europe, but thorough analysis for the impacts on tropospheric NO2 in China is still lacking. Here we provide a comparative analysis for the observed and modeled (Goddard Earth Observing System-Chem) tropospheric NO2 in early 2020 in China. Both ozone monitoring instrument and surface NO2 measurements show marked decreases in NO2 abundances due to the 2019 novel coronavirus (COVID-19) controls. However, we find a large discrepancy between observed and modeled NO2 changes over highly polluted provinces: the observed reductions in tropospheric NO2 columns are about 40% lower than those in surface NO2 concentrations. By contrast, the modeled reductions in tropospheric NO2 columns are about two times higher than those in surface NO2 concentrations. This discrepancy could be driven by the combined effects from uncertainties in simulations and observations, associated with possible inaccurate simulations of lower tropospheric NO2, larger uncertainties in the modeled interannual variabilities of NO2 columns, as well as insufficient consideration of aerosol effects and a priori NO2 variability in satellite retrievals. In addition, our analysis suggests a small influence from free tropospheric NO2 backgrounds in E. China in winter. This work demonstrates the challenge to interpret wintertime tropospheric NO2 changes in China, highlighting the importance of integrating surface NO2 observations to provide better analysis for NO2 variabilities.

How to cite: Chen, J., Jiang, Z., Miyazaki, K., and Jones, D.: Large discrepancy between observed and modeled wintertimetropospheric NO2 variabilities due to COVID-19 controls in China, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7013, https://doi.org/10.5194/egusphere-egu24-7013, 2024.