Articles | Volume 25, issue 9
https://doi.org/10.5194/acp-25-4965-2025
https://doi.org/10.5194/acp-25-4965-2025
Research article
 | 
13 May 2025
Research article |  | 13 May 2025

Spatiotemporal variations in atmospheric CH4 concentrations and enhancements in northern China based on a comprehensive dataset: ground-based observations, TROPOMI data, inventory data, and inversions

Pengfei Han, Ning Zeng, Bo Yao, Wen Zhang, Weijun Quan, Pucai Wang, Ting Wang, Minqiang Zhou, Qixiang Cai, Yuzhong Zhang, Ruosi Liang, Wanqi Sun, and Shengxiang Liu

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Cited articles

Bao, Z., Han, P., Zeng, N., Liu, D., Cai, Q., Wang, Y., Tang, G., Zheng, K., and Yao, B.: Observation and modeling of vertical carbon dioxide distribution in a heavily polluted suburban environment, Atmospheric and Oceanic Science Letters, 1–9, https://doi.org/10.1080/16742834.2020.1746627, 2020. 
Barré, J., Aben, I., Agustí-Panareda, A., Balsamo, G., Bousserez, N., Dueben, P., Engelen, R., Inness, A., Lorente, A., McNorton, J., Peuch, V.-H., Radnoti, G., and Ribas, R.: Systematic detection of local CH4 anomalies by combining satellite measurements with high-resolution forecasts, Atmos. Chem. Phys., 21, 5117–5136, https://doi.org/10.5194/acp-21-5117-2021, 2021. 
Butz, A., Galli, A., Hasekamp, O., Landgraf, J., Tol, P., and Aben, I.: TROPOMI aboard Sentinel-5 Precursor: Prospective performance of CH4 retrievals for aerosol and cirrus loaded atmospheres, Remote Sens. Environ., 120, 267–276, https://doi.org/10.1016/j.rse.2011.05.030, 2012. 
Chen, D., Chen, A., Hu, X., Guo, L., Yang, Y., and Fang, X.: Historical trend of China's CH4 concentrations and emissions during 2003–2020 based on satellite observations, and their implications, Atmos. Pollut. Res., 13, 101615, https://doi.org/10.1016/j.apr.2022.101615, 2022a. 
Chen, D., Ma, M., Hu, L., Du, Q., Li, B., Yang, Y., Guo, L., Cai, Z., Ji, M., Zhu, R., and Fang, X.: Characteristics of China's coal mine methane emission sources at national and provincial levels, Environ. Res., 259, 119549, https://doi.org/10.1016/j.envres.2024.119549, 2024. 
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Short summary
Methane (CH4) is a potent greenhouse gas. Northern China contributes a large proportion of CH4 emissions, yet large observation gaps exist. Here we compiled a comprehensive dataset, which is publicly available, that includes ground-based, satellite-based, inventory, and modeling results to show the CH4 concentrations, enhancements, and spatial–temporal variations. The data can benefit the research community and policy-makers for future observations, atmospheric inversions, and policy-making.
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