Articles | Volume 15, issue 22
https://doi.org/10.5194/amt-15-6585-2022
© 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-15-6585-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Nov 2022
Research article |
| 17 Nov 2022
| 17 Nov 2022
Evaluation of the methane full-physics retrieval applied to TROPOMI ocean sun glint measurements
Earth Science Group, SRON Netherlands Institute for Space Research, Leiden, the Netherlands
Tobias Borsdorff
Earth Science Group, SRON Netherlands Institute for Space Research, Leiden, the Netherlands
Mari C. Martinez-Velarte
Earth Science Group, SRON Netherlands Institute for Space Research, Leiden, the Netherlands
Andre Butz
Institute of Environmental Physics, University of Heidelberg, Heidelberg, Germany
Heidelberg Center for the Environment, University of Heidelberg, Heidelberg, Germany
Otto P. Hasekamp
Earth Science Group, SRON Netherlands Institute for Space Research, Leiden, the Netherlands
Lianghai Wu
Earth Science Group, SRON Netherlands Institute for Space Research, Leiden, the Netherlands
Jochen Landgraf
Earth Science Group, SRON Netherlands Institute for Space Research, Leiden, the Netherlands
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Cited
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- Offshore methane detection and quantification from space using sun glint measurements with the GHGSat constellation J. MacLean et al. https://doi.org/10.5194/amt-17-863-2024
- Quantifying Methane Emissions Using Satellite Data: Application of the Integrated Methane Inversion (IMI) Model to Assess Danish Emissions A. Vara-Vela et al. https://doi.org/10.3390/rs16234554
- Relation of Sentinel-2 multispectral data with surface methane and meteorological observations in summer N. Popov et al. https://doi.org/10.30533/GiA-2025-028
- The Total Carbon Column Observing Network's GGG2020 data version J. Laughner et al. https://doi.org/10.5194/essd-16-2197-2024
- A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases N. Balasus et al. https://doi.org/10.5194/amt-16-3787-2023
- Application of the Fast Atmospheric Line-by-Line Code with Aerosol and Cloud Scattering (FALCAS) to TROPOMI Total Column Water Vapour Retrievals in the SWIR Band H. Son et al. https://doi.org/10.3390/rs18081180
- Spatial and temporal patterns of atmospheric column-averaged methane (XCH4) over tropical Thailand from Sentinel-5P TROPOMI satellite observations W. Kanchanachat et al. https://doi.org/10.1016/j.atmosenv.2026.122139
- Global near-surface methane distribution and emission hotspots from TROPOMI: A geospatial machine-learning approach D. Lee et al. https://doi.org/10.1016/j.scitotenv.2026.181848
- Evaluation of Sentinel-5P TROPOMI Methane Observations at Northern High Latitudes H. Lindqvist et al. https://doi.org/10.3390/rs16162979
- Assessment of the differences in European CH4 emission estimates from three TROPOMI products A. Sicsik-Paré et al. https://doi.org/10.5194/acp-26-10423-2026
- Methane Retrieval Algorithms Based on Satellite: A Review Y. Jiang et al. https://doi.org/10.3390/atmos15040449
- Coordinated satellite, aircraft, and ground-based observations of a large transient methane release T. He et al. https://doi.org/10.1073/pnas.2603595123
- High-resolution regional inversion reveals overestimation of anthropogenic methane emissions in China S. Feng et al. https://doi.org/10.5194/acp-25-15121-2025
- Random Forest Classifier for Cloud Clearing of the Operational TROPOMI XCH4 Product T. Borsdorff et al. https://doi.org/10.3390/rs16071208
- Accounting for surface reflectance spectral features in TROPOMI methane retrievals A. Lorente et al. https://doi.org/10.5194/amt-16-1597-2023
- Regenerative rice farming for sustaining productivity, reducing energy demand, and methane emissions in India: A comprehensive review G. Sawargaonkar et al. https://doi.org/10.1016/j.rineng.2026.109197
- Los Angeles Wildfires 2025: Satellite-Based Emissions Monitoring and Air-Quality Impacts K. Michailidis et al. https://doi.org/10.3390/atmos17010050
- Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities S. Zhang et al. https://doi.org/10.1016/j.scitotenv.2023.164701
- A Satellite-Based Assessment of Atmospheric Methane over Ghana Using Sentinel-5P TROPOMI N. OSEI-ESSAH et al. https://doi.org/10.7886/hgs.101.1
- Assessing Greenhouse Gas Monitoring Capabilities Using SolAtmos End-to-End Simulator: Application to the Uvsq-Sat NG Mission C. Clavier et al. https://doi.org/10.3390/rs16081442
- Global methane emissions from rice paddies are now increasingly quantifiable M. Mehla et al. https://doi.org/10.1038/s43247-026-03902-4
- Satellite-Based Methane Emission Monitoring: A Review Across Industries S. Mehrdad & K. Du https://doi.org/10.3390/rs17223674
- Enhancing the Detection of Potential Anthropogenic Methane Emission Sources in China Using Machine Learning and TROPOMI Observations S. Yu et al. https://doi.org/10.1021/acs.estlett.6c00115
- Implementation of a satellite-based tool for the quantification of CH4 emissions over Europe (AUMIA v1.0) – Part 1: forward modelling evaluation against near-surface and satellite data A. Vara-Vela et al. https://doi.org/10.5194/gmd-16-6413-2023
- 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
25 citations as recorded by crossref.
- Offshore methane detection and quantification from space using sun glint measurements with the GHGSat constellation J. MacLean et al. https://doi.org/10.5194/amt-17-863-2024
- Quantifying Methane Emissions Using Satellite Data: Application of the Integrated Methane Inversion (IMI) Model to Assess Danish Emissions A. Vara-Vela et al. https://doi.org/10.3390/rs16234554
- Relation of Sentinel-2 multispectral data with surface methane and meteorological observations in summer N. Popov et al. https://doi.org/10.30533/GiA-2025-028
- The Total Carbon Column Observing Network's GGG2020 data version J. Laughner et al. https://doi.org/10.5194/essd-16-2197-2024
- A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases N. Balasus et al. https://doi.org/10.5194/amt-16-3787-2023
- Application of the Fast Atmospheric Line-by-Line Code with Aerosol and Cloud Scattering (FALCAS) to TROPOMI Total Column Water Vapour Retrievals in the SWIR Band H. Son et al. https://doi.org/10.3390/rs18081180
- Spatial and temporal patterns of atmospheric column-averaged methane (XCH4) over tropical Thailand from Sentinel-5P TROPOMI satellite observations W. Kanchanachat et al. https://doi.org/10.1016/j.atmosenv.2026.122139
- Global near-surface methane distribution and emission hotspots from TROPOMI: A geospatial machine-learning approach D. Lee et al. https://doi.org/10.1016/j.scitotenv.2026.181848
- Evaluation of Sentinel-5P TROPOMI Methane Observations at Northern High Latitudes H. Lindqvist et al. https://doi.org/10.3390/rs16162979
- Assessment of the differences in European CH4 emission estimates from three TROPOMI products A. Sicsik-Paré et al. https://doi.org/10.5194/acp-26-10423-2026
- Methane Retrieval Algorithms Based on Satellite: A Review Y. Jiang et al. https://doi.org/10.3390/atmos15040449
- Coordinated satellite, aircraft, and ground-based observations of a large transient methane release T. He et al. https://doi.org/10.1073/pnas.2603595123
- High-resolution regional inversion reveals overestimation of anthropogenic methane emissions in China S. Feng et al. https://doi.org/10.5194/acp-25-15121-2025
- Random Forest Classifier for Cloud Clearing of the Operational TROPOMI XCH4 Product T. Borsdorff et al. https://doi.org/10.3390/rs16071208
- Accounting for surface reflectance spectral features in TROPOMI methane retrievals A. Lorente et al. https://doi.org/10.5194/amt-16-1597-2023
- Regenerative rice farming for sustaining productivity, reducing energy demand, and methane emissions in India: A comprehensive review G. Sawargaonkar et al. https://doi.org/10.1016/j.rineng.2026.109197
- Los Angeles Wildfires 2025: Satellite-Based Emissions Monitoring and Air-Quality Impacts K. Michailidis et al. https://doi.org/10.3390/atmos17010050
- Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities S. Zhang et al. https://doi.org/10.1016/j.scitotenv.2023.164701
- A Satellite-Based Assessment of Atmospheric Methane over Ghana Using Sentinel-5P TROPOMI N. OSEI-ESSAH et al. https://doi.org/10.7886/hgs.101.1
- Assessing Greenhouse Gas Monitoring Capabilities Using SolAtmos End-to-End Simulator: Application to the Uvsq-Sat NG Mission C. Clavier et al. https://doi.org/10.3390/rs16081442
- Global methane emissions from rice paddies are now increasingly quantifiable M. Mehla et al. https://doi.org/10.1038/s43247-026-03902-4
- Satellite-Based Methane Emission Monitoring: A Review Across Industries S. Mehrdad & K. Du https://doi.org/10.3390/rs17223674
- Enhancing the Detection of Potential Anthropogenic Methane Emission Sources in China Using Machine Learning and TROPOMI Observations S. Yu et al. https://doi.org/10.1021/acs.estlett.6c00115
- Implementation of a satellite-based tool for the quantification of CH4 emissions over Europe (AUMIA v1.0) – Part 1: forward modelling evaluation against near-surface and satellite data A. Vara-Vela et al. https://doi.org/10.5194/gmd-16-6413-2023
- 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
Saved (final revised paper)
Latest update: 13 Sep 2026
Short summary
The TROPOspheric Monitoring Instrument (TROPOMI) performs observations over ocean in every orbit, enhancing the monitoring capabilities of methane from space. In the sun glint geometry the mirror-like reflection at the water surface provides a signal that is high enough to retrieve methane with high accuracy and precision. We present 4 years of methane concentrations over the ocean, and we assess its quality. We also show the importance of ocean observations to quantify total CH4 emissions.
The TROPOspheric Monitoring Instrument (TROPOMI) performs observations over ocean in every...
