Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 19, issue 8
Articles | Volume 19, issue 8
https://doi.org/10.5194/amt-19-2737-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-2737-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 8
Research article
 | 
22 Apr 2026
Research article |  | 22 Apr 2026

Super-resolution localization and quantification of SO2 emissions over India using TROPOMI observations

Yutao Chen, Ronald J. van der A, Jieying Ding, Henk Eskes, Felipe Cifuentes, and Pieternel F. Levelt

Supplement

https://doi.org/10.5194/amt-19-2737-2026-supplement

Data sets

Multi-Satellite Air Quality Sulfur Dioxide (SO2) Database Long-Term L4 Global V2 Vitali Fioletov et al. https://doi.org/10.5067/MEASURES/SO2/DATA406

CAMS global emission inventories Copernicus Atmosphere Monitoring Service (CAMS) https://doi.org/10.24381/1d158bec

Sharpening algorithm for SO2 emissions Ronald van der A and Yutao Chen https://doi.org/10.5281/zenodo.19594746

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Short summary
The SO2 gridded point emissions calculated from satellite measurements appear spread out around the source. This is inherent to the inversion method and the resolution of the satellite measurements. We made a new sharpening algorithm to reverse the spreading and make the emission signal clearer. With this method, the effective resolution is improved. Known sources can be located more precisely, and new ones can be found from space. The same approach also works for other gases like NOx.
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