Preprints
https://doi.org/10.5194/egusphere-2026-6638
https://doi.org/10.5194/egusphere-2026-6638
10 Nov 2026
 | 10 Nov 2026
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

NOx emissions changes from 2019 to 2021 in Eastern China as estimated through variational inversions and TROPOMI satellite data

Rimal Abeed, Audrey Fortems-Cheiney, Grégoire Broquet, Robin Plauchu, Isabelle Pison, Antoine Berchet, Elise Potier, Bo Zheng, Gaëlle Dufour, Adriana Coman, Dilek Savas, Guillaume Siour, Henk Eskes, Beatriz Revilla-Romero, Antony Delavois, and Philippe Ciais

Abstract. China is one of the largest emitters of nitrogen oxides NOx (= NO + NO2) worldwide, and up-to-date estimates are crucial as the country faces rising pressure to curb emissions. We estimate NOx emissions over Eastern China (101.75–132.25° E; 17.75–50.25° N) from 2019 to 2021, focusing on the impacts of COVID-19 and the Chinese Lunar New Year (LNY). Using high-resolution NO2 observations from TROPOMI, onboard the Sentinel-5 Precursor satellite, our estimates are at the regional, national, and provincial scales. They are produced using the Community Inversion Framework (CIF), coupled to the CHIMERE regional chemistry transport model at 0.5° resolution. Our results show a drop in NOx emissions of -35 % during February 2020, as compared to 2019. The drop in NOx emissions is driven mostly by lockdown-related mobility restrictions and LNY festivities. Provincial reductions amounted to -15 %, -16 %, -17 % in Hubei, Shanghai and Jiangsu respectively. Anthropogenic NOx emissions over Eastern China fell by 0.4 TgNO2/year in 2020 vs. 2019, and by 0.2 TgNO2/year in 2021 compared to 2020. The yearly budget of NOx emissions for 2019, 2020 and 2021 are 18.3, 17.9, and 17.7 TgNO2 respectively. Our estimates of recent past years offer insights to guide future strategies and policies to reduce NOx emissions in China and its provinces. These results highlight the advantages of combining high dimensional variational inversion methods with high-resolution satellite data, to strengthen air quality monitoring and support more effective regulations.

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Rimal Abeed, Audrey Fortems-Cheiney, Grégoire Broquet, Robin Plauchu, Isabelle Pison, Antoine Berchet, Elise Potier, Bo Zheng, Gaëlle Dufour, Adriana Coman, Dilek Savas, Guillaume Siour, Henk Eskes, Beatriz Revilla-Romero, Antony Delavois, and Philippe Ciais

Status: open (until 22 Dec 2026)

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Rimal Abeed, Audrey Fortems-Cheiney, Grégoire Broquet, Robin Plauchu, Isabelle Pison, Antoine Berchet, Elise Potier, Bo Zheng, Gaëlle Dufour, Adriana Coman, Dilek Savas, Guillaume Siour, Henk Eskes, Beatriz Revilla-Romero, Antony Delavois, and Philippe Ciais
Rimal Abeed, Audrey Fortems-Cheiney, Grégoire Broquet, Robin Plauchu, Isabelle Pison, Antoine Berchet, Elise Potier, Bo Zheng, Gaëlle Dufour, Adriana Coman, Dilek Savas, Guillaume Siour, Henk Eskes, Beatriz Revilla-Romero, Antony Delavois, and Philippe Ciais

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Short summary
Nitrogen oxides are harmful air pollutants mainly emitted from fossil fuel burning, and China emits more than any other country. To track them, we combined satellite images with two atmospheric computer models to estimate emissions in China from 2019 to 2021. Emissions fell by 35 % in February 2020, driven by pandemic lockdowns and Lunar New Year holidays, and declined slightly each year. Existing estimates seem 11 % too high, so satellite monitoring can better help guide clean air policies.
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