Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 13
Articles | Volume 15, issue 13
https://doi.org/10.5194/amt-15-4063-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-4063-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 13
Research article
 | 
08 Jul 2022
Research article |  | 08 Jul 2022

On the influence of underlying elevation data on Sentinel-5 Precursor TROPOMI satellite methane retrievals over Greenland

Jonas Hachmeister, Oliver Schneising, Michael Buchwitz, Alba Lorente, Tobias Borsdorff, John P. Burrows, Justus Notholt, and Matthias Buschmann
Publisher's note: the final revised AMT journal article was published on 8 July 2022. By accident, this version did not include the adjustments made during language copy-editing. This was corrected on 12 July 2022. Other than the language adjustments, no changes have been made to the scientific content of the paper.

Viewed

Total article views: 3,404 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,550 767 87 3,404 107 104
  • HTML: 2,550
  • PDF: 767
  • XML: 87
  • Total: 3,404
  • BibTeX: 107
  • EndNote: 104
Views and downloads (calculated since 28 Mar 2022)
Cumulative views and downloads (calculated since 28 Mar 2022)

Viewed (geographical distribution)

Total article views: 3,404 (including HTML, PDF, and XML) Thereof 3,384 with geography defined and 20 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 Oct 2025
Download

Please read the editorial note first before accessing the article.

Short summary
Sentinel-5P trace gas retrievals rely on elevation data in their calculations. Outdated or inaccurate data can lead to significant errors in e.g. dry-air mole fractions of methane (XCH4). We show that the use of inadequate elevation data leads to strong XCH4 anomalies in Greenland. Similar problems can be expected for other regions with inaccurate elevation data. However, we expect these to be more localized. We show that updating elevation data used in the retrieval solves this issue.
Read more
Share