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.
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.
the Creative Commons Attribution 4.0 License.
On the influence of underlying elevation data on Sentinel-5 Precursor TROPOMI satellite methane retrievals over Greenland
Jonas Hachmeister
CORRESPONDING AUTHOR
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Oliver Schneising
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Michael Buchwitz
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Alba Lorente
Netherlands Institute for Space Research, SRON, Leiden, the Netherlands
Tobias Borsdorff
Netherlands Institute for Space Research, SRON, Leiden, the Netherlands
John P. Burrows
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Justus Notholt
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Matthias Buschmann
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
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.
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Cited
15 citations as recorded by crossref.
- Satellite-based assessment of national carbon monoxide concentrations for air quality reporting in Finland T. Karppinen et al. https://doi.org/10.1016/j.rsase.2023.101120
- Retrieval of Atmospheric XCH4 via XGBoost Method Based on TROPOMI Satellite Data W. Zhang et al. https://doi.org/10.3390/atmos16030279
- Spaceborne Observations of Lightning NO2 in the Arctic X. Zhang et al. https://doi.org/10.1021/acs.est.2c07988
- Advances in retrieving XCH4 and XCO from Sentinel-5 Precursor: improvements in the scientific TROPOMI/WFMD algorithm O. Schneising et al. https://doi.org/10.5194/amt-16-669-2023
- Sensitivity of land-type variations across Canada using S-5p products S. Bhatnagar et al. https://doi.org/10.1016/j.geomat.2025.100048
- The importance of digital elevation model accuracy in XCO2 retrievals: improving the Orbiting Carbon Observatory 2 Atmospheric Carbon Observations from Space version 11 retrieval product N. Jacobs et al. https://doi.org/10.5194/amt-17-1375-2024
- Unveiling Air Pollution in Crimean Mountain Rivers: Analysis of Sentinel-5 Satellite Images Using Google Earth Engine (GEE) V. Tabunschik et al. https://doi.org/10.3390/rs15133364
- Evaluation of Sentinel-5P TROPOMI Methane Observations at Northern High Latitudes H. Lindqvist et al. https://doi.org/10.3390/rs16162979
- How can we trust TROPOMI based methane emissions estimation: calculating emissions over unidentified source regions B. Zheng et al. https://doi.org/10.5194/acp-26-1931-2026
- Recent advances in TROPOMI-based methane source detection: a systematic review R. Liu et al. https://doi.org/10.1080/15481603.2026.2650822
- Zonal variability of methane trends derived from satellite data J. Hachmeister et al. https://doi.org/10.5194/acp-24-577-2024
- Integrated Methane Inversion (IMI 1.0): a user-friendly, cloud-based facility for inferring high-resolution methane emissions from TROPOMI satellite observations D. Varon et al. https://doi.org/10.5194/gmd-15-5787-2022
- CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes A. Tsuruta et al. https://doi.org/10.3390/rs15061620
- Validation and Analysis of the ICESat-2 ATL11 Product: A Case Study of Lake Vostok Y. Gu et al. https://doi.org/10.1080/01490419.2024.2416661
- Environmental drivers constraining the seasonal variability in satellite-observed and modelled methane at northern high latitudes E. Kivimäki et al. https://doi.org/10.5194/bg-22-5193-2025
15 citations as recorded by crossref.
- Satellite-based assessment of national carbon monoxide concentrations for air quality reporting in Finland T. Karppinen et al. https://doi.org/10.1016/j.rsase.2023.101120
- Retrieval of Atmospheric XCH4 via XGBoost Method Based on TROPOMI Satellite Data W. Zhang et al. https://doi.org/10.3390/atmos16030279
- Spaceborne Observations of Lightning NO2 in the Arctic X. Zhang et al. https://doi.org/10.1021/acs.est.2c07988
- Advances in retrieving XCH4 and XCO from Sentinel-5 Precursor: improvements in the scientific TROPOMI/WFMD algorithm O. Schneising et al. https://doi.org/10.5194/amt-16-669-2023
- Sensitivity of land-type variations across Canada using S-5p products S. Bhatnagar et al. https://doi.org/10.1016/j.geomat.2025.100048
- The importance of digital elevation model accuracy in XCO2 retrievals: improving the Orbiting Carbon Observatory 2 Atmospheric Carbon Observations from Space version 11 retrieval product N. Jacobs et al. https://doi.org/10.5194/amt-17-1375-2024
- Unveiling Air Pollution in Crimean Mountain Rivers: Analysis of Sentinel-5 Satellite Images Using Google Earth Engine (GEE) V. Tabunschik et al. https://doi.org/10.3390/rs15133364
- Evaluation of Sentinel-5P TROPOMI Methane Observations at Northern High Latitudes H. Lindqvist et al. https://doi.org/10.3390/rs16162979
- How can we trust TROPOMI based methane emissions estimation: calculating emissions over unidentified source regions B. Zheng et al. https://doi.org/10.5194/acp-26-1931-2026
- Recent advances in TROPOMI-based methane source detection: a systematic review R. Liu et al. https://doi.org/10.1080/15481603.2026.2650822
- Zonal variability of methane trends derived from satellite data J. Hachmeister et al. https://doi.org/10.5194/acp-24-577-2024
- Integrated Methane Inversion (IMI 1.0): a user-friendly, cloud-based facility for inferring high-resolution methane emissions from TROPOMI satellite observations D. Varon et al. https://doi.org/10.5194/gmd-15-5787-2022
- CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes A. Tsuruta et al. https://doi.org/10.3390/rs15061620
- Validation and Analysis of the ICESat-2 ATL11 Product: A Case Study of Lake Vostok Y. Gu et al. https://doi.org/10.1080/01490419.2024.2416661
- Environmental drivers constraining the seasonal variability in satellite-observed and modelled methane at northern high latitudes E. Kivimäki et al. https://doi.org/10.5194/bg-22-5193-2025
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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.
Sentinel-5P trace gas retrievals rely on elevation data in their calculations. Outdated or...