Estimating the variability in NOx emissions from Wuhan with TROPOMI NO2 data during 2018 to 2023

Zhang, Qianqian; Boersma, K. Folkert; van der Laan, Chiel; Mols, Alba; Zhao, Bin; Li, Shengyue; Pan, Yuepeng

doi:https://doi.org/10.5194/acp-25-3313-2025

Articles | Volume 25, issue 6

https://doi.org/10.5194/acp-25-3313-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-25-3313-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 6

Research article

|

19 Mar 2025

Research article |

| 19 Mar 2025

Estimating the variability in NO_x emissions from Wuhan with TROPOMI NO₂ data during 2018 to 2023

Qianqian Zhang, K. Folkert Boersma, Chiel van der Laan, Alba Mols, Bin Zhao, Shengyue Li, and Yuepeng Pan

Data sets

ERA5 hourly data on pressure levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.bd0915c6

Short summary

Accurate NO_x emission estimates are required to better understand air pollution. This study investigates and demonstrates the ability of the superposition column model in combination with TROPOMI tropospheric NO₂ column data to estimate city-scale NO_x emissions and lifetimes and their variabilities. The results of this work nevertheless confirm the strength of the superposition column model in estimating urban NO_x emissions with reasonable accuracy.