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1. Feng, S., Jiang, F., Qian, T., Wang, N., Jia, M., Zheng, S., Chen, J., Ying, F., & Ju, W. (2024). Constraining non-methane  VOC emissions with TROPOMI HCHO observations: impact on summertime ozone simulation in August 2022 in China. Atmospheric Chemistry and Physics, 24, 7481–7498, //doi.org/10.5194/acp-24-7481-2024

2. Feng, S., Jiang, F., Wang, H., Liu, Y., He, W., Wang, H., Shen, Y., Zhang, L., Jia, M., Ju, W., & Chen, J. (2024). China’s fossil fuel CO2 emissions estimated using surface observations of co-emitted NO2. Environmental Science & Technology, 58, 8299–8312, //doi.org/10.1021/acs.est.3c07756

3. Feng, S., Jiang, F., Wu, Z., Wang, H., He, W., Shen, Y., Zhang, L., Zheng, Y., Lou, C., Jiang, Z., & Ju., W. (2023). A Regional multi-Air Pollutant Assimilation System (RAPAS v1.0) for emission estimates: system development and application. Geoscientific Model Development, 16(20), 5949–5977. //doi.org/10.5194/gmd-16-5949-2023

4. Feng, S., Jiang, F., Wang, H., Shen, Y., Zheng, Y., et al. (2022). Anthropogenic emissions estimated using surface observations and their impacts on PM2.5 source apportionment over the Yangtze River Delta, China. Science of The Total Environment, 47, 154522. //doi.org/10.1016/j.scitotenv.2022.154522

5. Feng, S., Jiang, F., Wang, H., Wang, H., Ju, W., Shen, Y., et al. (2020). NOx emission changes over China during the COVID‐19 epidemic inferred from surface NO2 observations. Geophysical Research Letters, 47, e2020GL090080. //doi.org/10.1029/2020GL090080

6. Feng, S., Jiang, F., Wu, Z., Wang, H., Ju, W., & Wang, H. (2020). CO emissions inferred from surface CO observations over China in December 2013 and 2017. Journal of Geophysical Research: Atmospheres, 125, e2019JD031808. //doi.org/10.1029/2019JD031808

7. Feng, S., Jiang, F., Jiang, Z., Wang, H., Cai, Z., & Zhang, L. (2018). Impact of 3DVAR assimilation of surface PM2.5 observations on PM2.5 forecasts over China during wintertime. Atmospheric Environment, 187, 34–49. //doi.org/10.1016/j.atmosenv.2018.05.049

8. Zhang, Z#, Feng, S.#,Chen, Y., Liu, Q., Ju, W., Xiao, W., Huang, C., Wang, Y., Wang, H., Jia, M., Wang, X., & Fei Jiang, F. Development of a regional carbon assimilation system and itsapplication for estimating fossil fuel carbon emissions in theYangtze River Delta, China. Science of The Total Environment, 957, 177720. //doi.org/10.1016/j.scitotenv.2024.177720

9. Feng, S., Jiang, F., Zhang, Y., Chen, H., Zhuang, H., Wang, S., Bai, S., Wang, H., & Ju, W. (2025). High-resolution regional inversion reveals overestimation of anthropogenic methane emissions in China. Atmospheric Chemistry and Physics Discussion. //doi.org/10.5194/egusphere-2025-2669

10. Zheng, S., Jiang, F., Feng, S., Liu, H., Wang, X., Tian, X., Ling, C., Jia, M., Shen, Y., Lyu, X., Guo, H., and Cai, Z. (2024). Impact of Marine Shipping Emissions on Ozone Pollution During the Warm Seasons in China. Journal of Geophysical Research: Atmospheres. 129, e2024JD040864, //doi.org/10.1029/2024JD040864.

11. Zheng, Y., Jiang, F., Feng, S., Shen, Y., Liu, H., Guo, H., Lyu, X., Jia, M., and Lou, C. (2023). Large-scale land-sea interactions extend ozone pollution duration in coastal cities along northern China. Environmental Science and Ecotechnology. 100322, //doi.org/10.1016/j.ese.2023.100322.

12. Shen, Y., Jiang, F., Feng, S., Xia, Z., Zheng, Y., Lyu, X., Zhang, L., Lou, C. (2022). Increased diurnal difference of NO2 concentrations and its impact on recent ozone pollution in eastern China in summer. Science of The Total Environment. //doi.org/10.1016/j.scitotenv.2022.159767

13. Shen, Y., Jiang, F., Feng, S., Zheng, Y., Cai, Z., & Lyu, X. (2020). Impact of weather and emission changes on NO2 concentrations in China during 2014−2019. Environmental Pollution. //doi.org/10.1016/j.envpol.2020.116163

14. Zheng, Y., Jiang, F., Feng, S., Cai, Z., Shen, Y., Ying, C., Wang, X. & Liu, Q. (2020). Long-range transport of ozone across the eastern China seas: a case study in coastal cities in southeastern China. Science of the Total Environment. //doi.org/10.1016/j.scitotenv.2020.144520

15. Jia, M., Li, Y., Jiang, F., Feng, S., Wang, H., Wang, J., Wu, M., and Ju, W.: Spatial Distribution of Urban Anthropogenic Carbon Emissions Revealed from the OCO-3 Snapshot XCO2 Observations: A Case Study of Shanghai, Remote Sensing, 17, 1087, 2025.

16. Mao, Y., Wang, H., Jiang, F., Feng, S., Jia, M. & Ju, W. (2024). Anthropogenic NOx emissions of China, the U.S. and Europe from 2019 to 2022 inferred from TROPOMI observations. Environmental Research Letters. //doi.org/10.1088/1748-9326/ad3cf9
    

17. Li, Y.; Jiang, F.; Jia, M.; Feng, S.; Lai, Y.; Ding, J.; He, W.; Wang, H.; Wu, M.; Wang, J.; Shen, F.; Zhang, L.(2024). Improved estimation of CO2 emissions from thermal power plants based on OCO-2 XCO2 retrieval using inline plume simulation. Science of The Total Environment.//doi.org/10.1016/j.scitotenv.2023.169586

18. Jia, M., Li, Y., Jiang, F., Yan, Feng, S., Wang, H., Wang, J., Wu, M., and Ju, W. (2025). Spatial Distribution of Urban Anthropogenic Carbon Emissions Revealed from the OCO-3 Snapshot XCO2 Observations: A Case Study of Shanghai. Remote Sensing, 17(6), 1087, //doi.org/10.3390/rs17061087

19. Bai, S., Zhang, Y., Li, F., Yan, Y., Chen, H., Feng, S., Jiang, F., Sun, S., Wang, Z., Zhou, C., Zhou, W., and Zhao, S. (2024). High-resolution satellite estimates of coal mine methane emissions from local to regional scales in Shanxi, China. Science of The Total Environment, 950, 175446, //doi.org/10.1016/j.scitotenv.2024.175446

20. Zhang, L., Jiang, F., Mao, Y., Lv, G., Wang, H., Feng, S., and Ju, W.: A Top-Down Method for Estimating Regional Fossil Fuel Carbon Emissions Based on Satellite XCO2 Retrievals, Remote Sensing, 17, 447, 2025.

21. Jiang, F., Wang, H., Chen, J. M., Ju, W., Tian, X., Feng, S., Li, G., Chen, Z., Zhang, S., Lu, X., Liu, J., Wang, H., Wang, J., He, W., and Wu, M. (2020). Regional CO2 Fluxes during 2010-2015 Inferred from GOSAT XCO2 retrievals using a new version of Global Carbon Assimilation System. Atmospheric Chemistry and Physics. //doi.org/10.5194/acp-21-1963-2021

22. Jia, M., Li, F., Zhang, Y., Wu, M., Li, Y., Feng, S., Wang, H., Chen, H., Ju, W., Lin, Jun., et al. (2022). The Nord Stream pipeline gas leaks released approximately 220,000 tonnes of methane into the atmosphere. Environmental Science and Ecotechnology. //doi.org/10.1016/j.ese.2022.100210

23. Jiang, F., He, W., Ju, W., Wang, H., Wu, M., Wang, J., Feng, S., Zhang, L., Chen, J. (2022). The status of carbon neutrality of the world's top 5 CO2 emitters as seen by carbon satellites. Fundamental Research. //doi.org/10.1016/j.fmre.2022.02.001

24. Jiang, F., Ju, W., He, W., Wu, M., Wang, H., Wang, J., Jia, M., Feng, S., Zhang, L., Chen, J. (2022). A 10-year global monthly averaged terrestrial net ecosystem exchange dataset inferred from the ACOS GOSAT v9 XCO2 retrievals (GCAS2021). Earth System Science Data. //doi.org/10.5194/essd-14-3013-2022

25. Jia, M., Jiang, F., Evangeliou, N., Eckhardt, S., Stohl, A., Huang, X., Shen, Y., Feng, S., He, W., Wang, J., Wang, H., Wu, M., Ju, W., and Ding, A. (2025). Anthropogenic Carbon Monoxide Emissions During 2014–2020 in China Constrained by In Situ Ground Observations. Journal of Geophysical Research: Atmospheres. //doi.org/10.1029/2024JD042371

26. Lou, C., Jiang, F., Tian, X., Zou, Q., Zheng, Y., Shen, Y., Feng, S., Chen, J., Zhang, L., Jia, M., Xu, J. (2023). Modeling the biogenic isoprene emission and its impact on ozone pollution in Zhejiang province, China. Science of The Total Environment. //doi.org/10.1016/j.scitotenv.2022.161212

27. Zhang, L., Jiang, F., He, W., Wu, M., Wang, J., Ju, W., Wang, H., Zhang, Y., Sitch, S., Walker, A. P., Yue, X., Feng, S., Jia, M., Chen, J. (2023). A Robust Estimate of Continental-Scale Terrestrial Carbon Sinks Using GOSAT XCO2 Retrievals. Geophysical Research Letters. //doi.org/10.1029/2023GL102815

28. Wang, J., Zeng, N., Wang, M., Wu, M., Jiang, F., Chevallier, F., Crowell, S., He, W., Johnson, M. S., Liu, J., Liu, Z., Miller, S. M., Philip, S., Wang, H., Wu, M., Ju, W., Feng, S., Jia, M. (2023). Anomalous Net Biome Exchange Over Amazonian Rainforests Induced by the 2015/16 El Niño: Soil Dryness-Shaped Spatial Pattern but Temperature-dominated Total Flux. Geophysical Research Letters. //doi.org/10.1029/2023GL103379