Articles | Volume 24, issue 18
https://doi.org/10.5194/acp-24-10441-2024
https://doi.org/10.5194/acp-24-10441-2024
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

Viewed

Total article views: 2,149 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,657 309 183 2,149 22 24
  • HTML: 1,657
  • PDF: 309
  • XML: 183
  • Total: 2,149
  • BibTeX: 22
  • EndNote: 24
Views and downloads (calculated since 16 Feb 2024)
Cumulative views and downloads (calculated since 16 Feb 2024)

Viewed (geographical distribution)

Total article views: 2,149 (including HTML, PDF, and XML) Thereof 2,227 with geography defined and -78 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Nov 2024
Download
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.
Altmetrics
Final-revised paper
Preprint