Articles | Volume 24, issue 13
https://doi.org/10.5194/acp-24-7793-2024
https://doi.org/10.5194/acp-24-7793-2024
Research article
 | 
10 Jul 2024
Research article |  | 10 Jul 2024

Aggravated surface O3 pollution primarily driven by meteorological variations in China during the 2020 COVID-19 pandemic lockdown period

Zhendong Lu, Jun Wang, Yi Wang, Daven K. Henze, Xi Chen, Tong Sha, and Kang Sun
Publisher's note: the now-at affiliations of Yi Wang and Tong Sha were removed from the article on 30 June 2026 since their work on the manuscript was exclusively conducted during their time at the University of Iowa, as indicated in the main affiliation.

Data sets

Sentinel-5P TROPOMI Tropospheric NO2 1-Orbit L2 5.5 km x 3.5 km KNMI - Koninklijk Nederlands Meteorologisch Instituut https://daac.gsfc.nasa.gov/datasets/S5P_L2__NO2____HiR_1/summary

Sentinel-5P TROPOMI Tropospheric Formaldehyde 1-Orbit L2 5.5 km x 3.5 km KNMI - Koninklijk Nederlands Meteorologisch Instituut https://daac.gsfc.nasa.gov/datasets/S5P_L2__HCHO___HiR_1/summary

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Short summary
In contrast with past work showing that the reduction of emissions was the dominant factor for the nationwide increase of surface O3 during the lockdown in China, this study finds that the variation in meteorology (temperature and other parameters) plays a more important role. This result is obtained through sensitivity simulations using a chemical transport model constrained by satellite (TROPOMI) data and calibrated with surface observations.
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