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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Cited
11 citations as recorded by crossref.
- Zonal variability of methane trends derived from satellite data J. Hachmeister et al. 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. 10.5194/acp-24-7609-2024
- Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data S. Vanselow et al. 10.5194/acp-24-10441-2024
- A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases N. Balasus et al. 10.5194/amt-16-3787-2023
- Determination of the chemical equator from GEOS-Chem model simulation: a focus on the tropical western Pacific region X. Sun et al. 10.5194/acp-23-7075-2023
- 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. 10.5194/amt-17-1375-2024
- Developing unbiased estimation of atmospheric methane via machine learning and multiobjective programming based on TROPOMI and GOSAT data K. Li et al. 10.1016/j.rse.2024.114039
- Evaluation of Sentinel-5P TROPOMI Methane Observations at Northern High Latitudes H. Lindqvist et al. 10.3390/rs16162979
- Current potential of CH4 emission estimates using TROPOMI in the Middle East M. Liu et al. 10.5194/amt-17-5261-2024
- 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. 10.3390/rs15061620
- FLEXPART version 11: improved accuracy, efficiency, and flexibility L. Bakels et al. 10.5194/gmd-17-7595-2024
11 citations as recorded by crossref.
- Zonal variability of methane trends derived from satellite data J. Hachmeister et al. 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. 10.5194/acp-24-7609-2024
- Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data S. Vanselow et al. 10.5194/acp-24-10441-2024
- A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases N. Balasus et al. 10.5194/amt-16-3787-2023
- Determination of the chemical equator from GEOS-Chem model simulation: a focus on the tropical western Pacific region X. Sun et al. 10.5194/acp-23-7075-2023
- 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. 10.5194/amt-17-1375-2024
- Developing unbiased estimation of atmospheric methane via machine learning and multiobjective programming based on TROPOMI and GOSAT data K. Li et al. 10.1016/j.rse.2024.114039
- Evaluation of Sentinel-5P TROPOMI Methane Observations at Northern High Latitudes H. Lindqvist et al. 10.3390/rs16162979
- Current potential of CH4 emission estimates using TROPOMI in the Middle East M. Liu et al. 10.5194/amt-17-5261-2024
- 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. 10.3390/rs15061620
- FLEXPART version 11: improved accuracy, efficiency, and flexibility L. Bakels et al. 10.5194/gmd-17-7595-2024
Latest update: 17 Nov 2024
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...
