NO x emissions changes from 2019 to 2021 in Eastern China as estimated through variational inversions and TROPOMI satellite data

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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Published
2026-11-10
DOI
https://doi.org/10.5194/egusphere-2026-6638
Primary Topic
Atmospheric chemistry and aerosols
Type
preprint
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preprint

NO x emissions changes from 2019 to 2021 in Eastern China as estimated through variational inversions and TROPOMI satellite data

Isabelle Pison, Antoine Berchet, Grégoire Broquet, Henk J. Eskes et al.
Atmospheric chemistry and aerosols
preprint

NO x emissions changes from 2019 to 2021 in Eastern China as estimated through variational inversions and TROPOMI satellite data

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

Abstract

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.

Centre National de la Recherche Scientifique (FR), Université de Versailles Saint-Quentin-en-Yvelines (FR), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), CNRS Écologie & Environnement (FR), Laboratoire des Sciences du Climat et de l'Environnement (FR)
Atmospheric chemistry and aerosols
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