Automated detection of regions with persistently enhanced methane concentrations using  Sentinel-5 Precursor satellite data

Vanselow, Steffen; Schneising, Oliver; Buchwitz, Michael; Reuter, Maximilian; Bovensmann, Heinrich; Boesch, Hartmut; Burrows, John P.

doi:https://doi.org/10.5194/acp-24-10441-2024

Articles | Volume 24, issue 18

https://doi.org/10.5194/acp-24-10441-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-24-10441-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 18

Research article

|

19 Sep 2024

Research article |

| 19 Sep 2024

Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data

Steffen Vanselow, Oliver Schneising, Michael Buchwitz, Maximilian Reuter, Heinrich Bovensmann, Hartmut Boesch, and John P. Burrows

Data sets

TROPOMI/WFMD Univeristy of Bremen https://www.iup.uni-bremen.de/carbon_ghg/products/tropomi_wfmd/

EDGAR v6.0 Greenhouse Gas Emissions F. M. Ferrario, et al. http://data.europa.eu/89h/97a67d67-c62e-4826-b873-9d972c4f670b

Global Fuel Exploitation Inventory (GFEI) T. R. Scarpelli and D. J. Jacob https://doi.org/10.7910/DVN/HH4EUM

CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.3.1) A. A. Bloom, et al. https://doi.org/10.3334/ORNLDAAC/1915

Global multi-resolution terrain elevation data 2010 (GMTED2010) J. J. Danielson and D. B. Gesch https://doi.org/10.3133/ofr20111073

Short summary

We developed an algorithm to automatically detect persistent methane source regions, to quantify their emissions and to determine their source types, by analyzing TROPOMI data from 2018–2021. The over 200 globally detected natural and anthropogenic source regions include small-scale point sources such as individual coal mines and larger-scale source regions such as wetlands and large oil and gas fields.