Articles | Volume 25, issue 4
https://doi.org/10.5194/acp-25-2291-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-2291-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Feb 2025
Research article |
| 21 Feb 2025
| 21 Feb 2025
Identifying missing sources and reducing NOx emissions uncertainty over China using daily satellite data and a mass-conserving method
Lingxiao Lu
School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Shanxi Key Laboratory of Environmental Remote Sensing Applications, China University of Mining and Technology, Xuzhou 221116, China
Jason Blake Cohen
CORRESPONDING AUTHOR
School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Shanxi Key Laboratory of Environmental Remote Sensing Applications, China University of Mining and Technology, Xuzhou 221116, China
School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Shanxi Key Laboratory of Environmental Remote Sensing Applications, China University of Mining and Technology, Xuzhou 221116, China
Xiaolu Li
Shanxi Key Laboratory of Environmental Remote Sensing Applications, China University of Mining and Technology, Xuzhou 221116, China
School of Geographic Sciences, Taiyuan Normal University, Jinzhong 030619, China
School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Shanxi Key Laboratory of Environmental Remote Sensing Applications, China University of Mining and Technology, Xuzhou 221116, China
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Cited
15 citations as recorded by crossref.
- New Perspective on Using Observational Uncertainty to Improve Reliability of NO x Emissions Over Northern China L. Lu et al. https://doi.org/10.1109/TGRS.2025.3620116
- Technical note: DACNO2 – a multi-constraint deep learning framework for high-resolution 3D NO2 field estimation W. Sun et al. https://doi.org/10.5194/acp-26-7741-2026
- Reconstructing top-down global black carbon emissions using remote sensing and models S. Wang et al. https://doi.org/10.1016/j.apr.2025.102633
- Diurnal NO emission underestimation constrained using overlapping TROPOMI swaths Q. He et al. https://doi.org/10.1016/j.atmosenv.2025.121354
- 卫星观测港口CO2排放间接估算：以日照港为例 陆. Lu Lingxiao et al. https://doi.org/10.3788/AOS250851
- Satellite-detected nitrogen oxides emission changes from power plant dynamics in North China C. Xu et al. https://doi.org/10.1088/1748-9326/ae860b
- OMI-Derived Mass- and Number-Conserved Estimation of Black Carbon Emissions J. Liu et al. https://doi.org/10.1021/acs.estlett.5c00340
- Long-term drivers of increasing diurnal NO2 difference in representative cities of the Pearl River Delta Z. Liu et al. https://doi.org/10.1016/j.jes.2026.02.023
- Assessment of the differences in European CH4 emission estimates from three TROPOMI products A. Sicsik-Paré et al. https://doi.org/10.5194/acp-26-10423-2026
- Observationally constrained global NOx and CO emissions variability reveals sources which contribute significantly to CO2 emissions S. Wang et al. https://doi.org/10.1038/s41612-025-00977-2
- Surface-observation-constrained high-frequency coal mine methane emissions in Shanxi, China, reveal more emissions than inventories, consistent with satellite inversion F. Lu et al. https://doi.org/10.5194/acp-25-5837-2025
- A global black carbon dataset of column concentration and microphysical information derived from MISR multi-band observations and Mie scattering simulations Z. Liu et al. https://doi.org/10.5194/essd-18-507-2026
- Simulating the Spatiotemporal Variations of δ15N in Atmospheric NOx Using CMAQ to Assess the Role of Atmospheric Physical Processes over the Pearl River Delta Region, China F. Wang et al. https://doi.org/10.3390/atmos17080760
- In-tandem multi-waveband particulate absorption and size observations yield substantial changes in radiative forcing over industrial Central China L. Guan et al. https://doi.org/10.5194/acp-26-3107-2026
- Improving estimation of surface PM2.5 by including satellite observations of gases, aerosols, and radiation in tandem J. Kang et al. https://doi.org/10.1088/1748-9326/ae1e17
15 citations as recorded by crossref.
- New Perspective on Using Observational Uncertainty to Improve Reliability of NO x Emissions Over Northern China L. Lu et al. https://doi.org/10.1109/TGRS.2025.3620116
- Technical note: DACNO2 – a multi-constraint deep learning framework for high-resolution 3D NO2 field estimation W. Sun et al. https://doi.org/10.5194/acp-26-7741-2026
- Reconstructing top-down global black carbon emissions using remote sensing and models S. Wang et al. https://doi.org/10.1016/j.apr.2025.102633
- Diurnal NO emission underestimation constrained using overlapping TROPOMI swaths Q. He et al. https://doi.org/10.1016/j.atmosenv.2025.121354
- 卫星观测港口CO2排放间接估算：以日照港为例 陆. Lu Lingxiao et al. https://doi.org/10.3788/AOS250851
- Satellite-detected nitrogen oxides emission changes from power plant dynamics in North China C. Xu et al. https://doi.org/10.1088/1748-9326/ae860b
- OMI-Derived Mass- and Number-Conserved Estimation of Black Carbon Emissions J. Liu et al. https://doi.org/10.1021/acs.estlett.5c00340
- Long-term drivers of increasing diurnal NO2 difference in representative cities of the Pearl River Delta Z. Liu et al. https://doi.org/10.1016/j.jes.2026.02.023
- Assessment of the differences in European CH4 emission estimates from three TROPOMI products A. Sicsik-Paré et al. https://doi.org/10.5194/acp-26-10423-2026
- Observationally constrained global NOx and CO emissions variability reveals sources which contribute significantly to CO2 emissions S. Wang et al. https://doi.org/10.1038/s41612-025-00977-2
- Surface-observation-constrained high-frequency coal mine methane emissions in Shanxi, China, reveal more emissions than inventories, consistent with satellite inversion F. Lu et al. https://doi.org/10.5194/acp-25-5837-2025
- A global black carbon dataset of column concentration and microphysical information derived from MISR multi-band observations and Mie scattering simulations Z. Liu et al. https://doi.org/10.5194/essd-18-507-2026
- Simulating the Spatiotemporal Variations of δ15N in Atmospheric NOx Using CMAQ to Assess the Role of Atmospheric Physical Processes over the Pearl River Delta Region, China F. Wang et al. https://doi.org/10.3390/atmos17080760
- In-tandem multi-waveband particulate absorption and size observations yield substantial changes in radiative forcing over industrial Central China L. Guan et al. https://doi.org/10.5194/acp-26-3107-2026
- Improving estimation of surface PM2.5 by including satellite observations of gases, aerosols, and radiation in tandem J. Kang et al. https://doi.org/10.1088/1748-9326/ae1e17
Saved (final revised paper)
Latest update: 14 Aug 2026
Short summary
This study applies an approach that assimilates NO2 vertical column densities from TROPOMI in a mass-conserving manner and inverts daily NOx emissions, presented over rapidly changing regions in China. Source attribution is quantified by the local thermodynamics of the combustion temperature (NOx/NO2). Emission results identify sources which do not exist in the a priori datasets, especially medium industrial sources located next to the Yangtze River.
This study applies an approach that assimilates NO2 vertical column densities from TROPOMI in a...
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