SO<sub>2</sub> emissions derived from TROPOMI observations over India using a flux-divergence method with variable lifetimes

Chen, Yutao; van der A, Ronald J.; Ding, Jieying; Eskes, Henk; Williams, Jason E.; Theys, Nicolas; Tsikerdekis, Athanasios; Levelt, Pieternel F.

doi:https://doi.org/10.5194/acp-25-1851-2025

Articles | Volume 25, issue 3

https://doi.org/10.5194/acp-25-1851-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-25-1851-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 3

Research article

|

11 Feb 2025

Research article |

| 11 Feb 2025

SO₂ emissions derived from TROPOMI observations over India using a flux-divergence method with variable lifetimes

Yutao Chen, Ronald J. van der A, Jieying Ding, Henk Eskes, Jason E. Williams, Nicolas Theys, Athanasios Tsikerdekis, and Pieternel F. Levelt

Supplement

https://doi.org/10.5194/acp-25-1851-2025-supplement

Data sets

TROPOMI Level-2 COBRA SO2 data Nicolas Theys https://data-portal.s5p-pal.com/products/so2cbr.html

TROPOMI Level-2 COBRA SO2 data Nicolas Theys https://distributions.aeronomie.be

Daily operational 12 h forecast wind field data European Centre for Medium-Range Weather Forecasts (ECMWF) https://www.ecmwf.int/en/forecasts/datasets/open-data

CAMS global atmospheric composition forecast data Copernicus Atmospheric Monitoring Service (CAMS) https://ads.atmosphere.copernicus.eu/datasets/cams-global-atmospheric-composition-forecasts?tab=overview

Indian SO2 emissions (EDGARv8) Monica Crippa https://edgar.jrc.ec.europa.eu/dataset_ap81

CAMS Global anthropogenic emissions Antonin Soulie https://permalink.aeris-data.fr/CAMS-GLOB-ANT

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

Indian power plant location OpenStreetMap contributors https://openinframap.org/stats/area/India/plants

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Short summary

There is a lack of local SO₂ top-down emission inventories in India. With the improvement in the divergence method and the derivation of SO₂ local lifetime, gridded SO₂ emissions over a large area can be estimated efficiently. This method can be applied to any region in the world to derive SO₂ emissions. Especially for regions with high latitudes, our methodology has the potential to significantly improve the top-down derivation of SO₂ emissions.

SO2 emissions derived from TROPOMI observations over India using a flux-divergence method with variable lifetimes

Supplement

Data sets

SO₂ emissions derived from TROPOMI observations over India using a flux-divergence method with variable lifetimes