Articles | Volume 15, issue 8
https://doi.org/10.5194/amt-15-2377-2022
© 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-15-2377-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
On the consistency of methane retrievals using the Total Carbon Column Observing Network (TCCON) and multiple spectroscopic databases
Edward Malina
CORRESPONDING AUTHOR
Earth and Mission Science Division, ESA – ESTEC, Keplerlaan 1, Noordwijk, the Netherlands
Ben Veihelmann
Earth and Mission Science Division, ESA – ESTEC, Keplerlaan 1, Noordwijk, the Netherlands
Matthias Buschmann
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Nicholas M. Deutscher
School of Earth, Atmospheric, and Life Sciences, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW 2522, Australia
Dietrich G. Feist
Lehrstuhl für Physik der Atmosphäre, Ludwig-Maximilians-Universität München, Munich, Germany
Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, Oberpfaffenhofen, Germany
Max Planck Institute for Biogeochemistry, Jena, Germany
Isamu Morino
Satellite Remote Sensing Section and Satellite Observation Center, Center for Global Environmental Research, National Institute for Environmental Studies, Onogawa 16-2, Tsukuba, Japan
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Cited
13 citations as recorded by crossref.
- Evaluation of Multi-Source Satellite XCO2 Products over China Using the Three-Cornered Hat Method and Multi-Reference Comprehensive Comparisons F. Ruan et al. https://doi.org/10.3390/rs17233869
- [Retracted] Research on Injury Causes and Prevention Effect of College Rowing Athletes Based on Multiple Regression and Residual Algorithm N. Mu & H. Kim https://doi.org/10.1155/2022/4896336
- Gap-filled spatiotemporal reconstruction of XCH4 data and analysis of methane emission patterns Q. Xiao et al. https://doi.org/10.1016/j.apr.2026.102918
- Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities S. Zhang et al. https://doi.org/10.1016/j.scitotenv.2023.164701
- Multi-laboratory measurements of 12CH42ν3-band line parameters. Part II: Spectrum analysis based on the speed dependent Voigt profile with first-order line mixing R. Yin et al. https://doi.org/10.1016/j.jqsrt.2025.109588
- Towards routine shipborne measurements of columnar CO2, CH4, CO, and NO2: a case study for tracking regional-scale emission patterns V. Enders et al. https://doi.org/10.5194/amt-19-2633-2026
- Generating Daily High-Resolution Regional XCO2 by Deep Neural Network and Multi-Source Data W. Tian et al. https://doi.org/10.3390/atmos15080985
- Active–passive collaborative approach for XCO2 retrieval using spaceborne sensors M. Cai et al. https://doi.org/10.1364/OL.464870
- Random Forest-Based Retrieval of XCO2 Concentration from Satellite-Borne Shortwave Infrared Hyperspectral W. Zhang et al. https://doi.org/10.3390/atmos16030238
- 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
- The HITRAN2024 methane update T. Bertin et al. https://doi.org/10.1016/j.jqsrt.2025.109736
- Five years of GOSAT-2 retrievals with RemoTeC: XCO2 and XCH4 data products with quality filtering by machine learning A. Barr et al. https://doi.org/10.5194/amt-18-6093-2025
- Retrieving the Vertical Profile of Greenhouse Gas Using Fourier Transform Spectrometer (FTS) - Part II: Methane (CH4) M. Kim et al. https://doi.org/10.5572/KOSAE.2024.40.3.361
13 citations as recorded by crossref.
- Evaluation of Multi-Source Satellite XCO2 Products over China Using the Three-Cornered Hat Method and Multi-Reference Comprehensive Comparisons F. Ruan et al. https://doi.org/10.3390/rs17233869
- [Retracted] Research on Injury Causes and Prevention Effect of College Rowing Athletes Based on Multiple Regression and Residual Algorithm N. Mu & H. Kim https://doi.org/10.1155/2022/4896336
- Gap-filled spatiotemporal reconstruction of XCH4 data and analysis of methane emission patterns Q. Xiao et al. https://doi.org/10.1016/j.apr.2026.102918
- Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities S. Zhang et al. https://doi.org/10.1016/j.scitotenv.2023.164701
- Multi-laboratory measurements of 12CH42ν3-band line parameters. Part II: Spectrum analysis based on the speed dependent Voigt profile with first-order line mixing R. Yin et al. https://doi.org/10.1016/j.jqsrt.2025.109588
- Towards routine shipborne measurements of columnar CO2, CH4, CO, and NO2: a case study for tracking regional-scale emission patterns V. Enders et al. https://doi.org/10.5194/amt-19-2633-2026
- Generating Daily High-Resolution Regional XCO2 by Deep Neural Network and Multi-Source Data W. Tian et al. https://doi.org/10.3390/atmos15080985
- Active–passive collaborative approach for XCO2 retrieval using spaceborne sensors M. Cai et al. https://doi.org/10.1364/OL.464870
- Random Forest-Based Retrieval of XCO2 Concentration from Satellite-Borne Shortwave Infrared Hyperspectral W. Zhang et al. https://doi.org/10.3390/atmos16030238
- 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
- The HITRAN2024 methane update T. Bertin et al. https://doi.org/10.1016/j.jqsrt.2025.109736
- Five years of GOSAT-2 retrievals with RemoTeC: XCO2 and XCH4 data products with quality filtering by machine learning A. Barr et al. https://doi.org/10.5194/amt-18-6093-2025
- Retrieving the Vertical Profile of Greenhouse Gas Using Fourier Transform Spectrometer (FTS) - Part II: Methane (CH4) M. Kim et al. https://doi.org/10.5572/KOSAE.2024.40.3.361
Saved (final revised paper)
Latest update: 29 Oct 2026
Short summary
Methane retrievals from remote sensing instruments are fundamentally based on spectroscopic parameters, which indicate spectral-line positions, and their characteristics. These parameters are stored in several databases that vary in their make-up. Here we assess how concentrations of methane isotopologues measured from the same Total Carbon Column Observing Network (TCCON) instruments vary across a range of spectral windows using different spectroscopic databases and comment on the implications.
Methane retrievals from remote sensing instruments are fundamentally based on spectroscopic...
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