Articles | Volume 16, issue 3
https://doi.org/10.5194/amt-16-669-2023
© Author(s) 2023. 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-16-669-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Feb 2023
Research article |
| 03 Feb 2023
| 03 Feb 2023
Advances in retrieving XCH4 and XCO from Sentinel-5 Precursor: improvements in the scientific TROPOMI/WFMD algorithm
Oliver Schneising
CORRESPONDING AUTHOR
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Michael Buchwitz
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Jonas Hachmeister
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Steffen Vanselow
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Maximilian Reuter
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Matthias Buschmann
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Heinrich Bovensmann
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
John P. Burrows
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
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- If the Yedoma thaws, will we notice? Quantifying detection limits of top-down methane monitoring infrastructures M. Pallandt et al. https://doi.org/10.5194/amt-18-7053-2025
- Current potential of CH4 emission estimates using TROPOMI in the Middle East M. Liu et al. https://doi.org/10.5194/amt-17-5261-2024
- Decadal doubling of Siberian methane emissions due to warming-induced fires and methanogenesis S. Zhu et al. https://doi.org/10.1126/science.aea5828
- Zonal variability of methane trends derived from satellite data J. Hachmeister et al. https://doi.org/10.5194/acp-24-577-2024
- Towards a sector-specific CO∕CO2 emission ratio: satellite-based observations of CO release from steel production in Germany O. Schneising et al. https://doi.org/10.5194/acp-24-7609-2024
- Rapid Methane Flux Estimation Combining MethaneSAT and Sentinel‐5P Observations: A Case Study of Turkmenistan Y. Huang et al. https://doi.org/10.1029/2025GL119369
- 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
- Assessment of methane (CH4) and its nexus with meteorological variables using cross wavelet analysis over South Asia K. Shakrullah et al. https://doi.org/10.1007/s00704-026-06171-5
- Integrated Methane Inversion (IMI) 2.0: an improved research and stakeholder tool for monitoring total methane emissions with high resolution worldwide using TROPOMI satellite observations L. Estrada et al. https://doi.org/10.5194/gmd-18-3311-2025
- Strong monsoon influence on South Asian methane emissions in 2020 revealed by a Bayesian inversion constrained by satellite observations R. Subramanian et al. https://doi.org/10.5194/acp-26-9757-2026
- Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data S. Vanselow et al. https://doi.org/10.5194/acp-24-10441-2024
- Theoretical Potential of TanSat-2 to Quantify China’s CH4 Emissions S. Zhu et al. https://doi.org/10.3390/rs17132321
- Intensity-Preserving Robust Fusion for Multi-Frame Spatial Heterodyne Spectral Recovery Toward Atmospheric Remote Sensing X. Liao et al. https://doi.org/10.3390/atmos17070695
- Top-down CO emission estimates using TROPOMI CO data in the TM5-4DVAR (r1258) inverse modeling suit J. Nüß et al. https://doi.org/10.5194/gmd-18-2861-2025
- Unveiling cascading lag effects of wetland methane emissions: Evidence from Lake Chad in Africa R. Liu et al. https://doi.org/10.1126/sciadv.adx9866
- Methane Concentration Inversion Based on Multi-Feature Fusion and Stacking Integration Y. Han et al. https://doi.org/10.3390/s25071974
- Developing unbiased estimation of atmospheric methane via machine learning and multiobjective programming based on TROPOMI and GOSAT data K. Li et al. https://doi.org/10.1016/j.rse.2024.114039
- Sensitivity of land-type variations across Canada using S-5p products S. Bhatnagar et al. https://doi.org/10.1016/j.geomat.2025.100048
- TROPOMI/WFMD v2.0: Improved retrievals of XCH4 and XCO with XGBoost-based quality filtering O. Schneising et al. https://doi.org/10.5194/amt-19-2407-2026
- Enhanced methane monitoring: a globally harmonized daily 0.1° XCH4 through machine learning-based fusion of GOSAT, GOSAT-2, and TROPOMI J. Keya et al. https://doi.org/10.5194/amt-19-4313-2026
- Automatic methane plume masking based on wavelet transform image processing: application to MethaneAIR and MethaneSAT data Z. Zhang et al. https://doi.org/10.5194/amt-19-4637-2026
- Evaluation of Sentinel-5P TROPOMI Methane Observations at Northern High Latitudes H. Lindqvist et al. https://doi.org/10.3390/rs16162979
- Exploring climate pollutants levels and variations in Islamabad's built-environment: A nature-based policy framework for sustainable emissions management H. Qadeer et al. https://doi.org/10.1016/j.jenvman.2025.126421
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- Leveraging TROPOMI observations and WRF-GHG modeling towards improving methane emission assessments in India T. Mathew et al. https://doi.org/10.5194/acp-26-4453-2026
- Efficient use of a Lagrangian particle dispersion model for atmospheric inversions using satellite observations of column mixing ratios R. Thompson et al. https://doi.org/10.5194/acp-25-12737-2025
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- Determination of the chemical equator from GEOS-Chem model simulation: a focus on the tropical western Pacific region X. Sun et al. https://doi.org/10.5194/acp-23-7075-2023
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- 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
- Recent advances in TROPOMI-based methane source detection: a systematic review R. Liu et al. https://doi.org/10.1080/15481603.2026.2650822
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- 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
- 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
- FLEXPART version 11: improved accuracy, efficiency, and flexibility L. Bakels et al. https://doi.org/10.5194/gmd-17-7595-2024
- Linking land development to ecological and atmospheric change: remote sensing insights from Egypt’s new delta A. El-Zeiny et al. https://doi.org/10.1186/s40068-026-00471-5
- Towards the Optimization of TanSat-2: Assessment of a Large-Swath Methane Measurement S. Zhu et al. https://doi.org/10.3390/rs17030543
- Spatiotemporal variations in atmospheric CH4 concentrations and enhancements in northern China based on a comprehensive dataset: ground-based observations, TROPOMI data, inventory data, and inversions P. Han et al. https://doi.org/10.5194/acp-25-4965-2025
- 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
- Monthly and annual oscillation of methane and ozone in eastern India using Sentinel-5P TROPOMI: assessment and validation A. Ghosh & S. Manna https://doi.org/10.1007/s11356-024-35755-9
- 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
- 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
- Insights into Elevated Methane Emissions from an Australian Open-Cut Coal Mine Using Two Independent Airborne Techniques J. Borchardt et al. https://doi.org/10.1021/acs.estlett.4c01063
- Surface reflectance biases in XCH4 retrievals from the 2.3 µm band are enhanced in the presence of aerosols P. Somkuti et al. https://doi.org/10.5194/amt-18-4647-2025
- Satellite-Based Monitoring of Methane Emissions from China’s Rice Hub R. Liang et al. https://doi.org/10.1021/acs.est.4c09822
- Retrieval of Atmospheric XCH4 via XGBoost Method Based on TROPOMI Satellite Data W. Zhang et al. https://doi.org/10.3390/atmos16030279
- Retrieving the atmospheric concentrations of carbon dioxide and methane from the European Copernicus CO2M satellite mission using artificial neural networks M. Reuter et al. https://doi.org/10.5194/amt-18-241-2025
- Uncertainty and retrieval sensitivity in TROPOMI-based methane inversions over the North Slope of Alaska R. Ward et al. https://doi.org/10.5194/amt-19-813-2026
Saved (final revised paper)
Latest update: 03 Sep 2026
Short summary
Methane and carbon monoxide are important constituents of the atmosphere in the context of climate change and air pollution. We present the latest advances in the TROPOMI/WFMD algorithm to simultaneously retrieve atmospheric methane and carbon monoxide abundances from space. The changes in the latest product version are described in detail, and the resulting improvements are demonstrated. An overview of the products is provided including a discussion of annual increases and validation results.
Methane and carbon monoxide are important constituents of the atmosphere in the context of...
