Articles | Volume 15, issue 18
https://doi.org/10.5194/amt-15-5261-2022
© 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-15-5261-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Complementing XCO2 imagery with ground-based CO2 and 14CO2 measurements to monitor CO2 emissions from fossil fuels on a regional to local scale
Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Grégoire Broquet
Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Yilong Wang
Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
Diego Santaren
Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Antoine Berchet
Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Isabelle Pison
Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Julia Marshall
Max Planck Institute for Biogeochemistry (MPI-BGC), Jena, Germany
now at: Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Philippe Ciais
Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
François-Marie Bréon
Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Frédéric Chevallier
Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
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Cited
10 citations as recorded by crossref.
- Improved estimation of carbon dioxide and methane using machine learning with satellite observations over the Arabian Peninsula M. Alcibahy et al. https://doi.org/10.1038/s41598-024-84593-9
- Global Daily Column Average CO2 at 0.1° × 0.1° Spatial Resolution Integrating OCO-3, GOSAT, CAMS with EOF and Deep Learning F. Antezana Lopez et al. https://doi.org/10.1038/s41597-024-04135-w
- Accounting for meteorological biases in simulated plumes using smarter metrics P. Vanderbecken et al. https://doi.org/10.5194/amt-16-1745-2023
- Top-down Constraint on Regional Fossil Fuel CO2 Emissions in China using GOSAT and OCO-2 Satellite XCO2 Retrievals: A Case of the COVID-19 Lockdown W. Chang et al. https://doi.org/10.1007/s00376-024-4150-6
- Tracking and Quantifying Fossil Fuel CO2 Emissions by Radiocarbon (14C): A Review S. Cui et al. https://doi.org/10.3390/atmos17040363
- Satellite imagery and ground-based micro-sensors for estimating carbon dioxide concentrations: Application to the Oran Region, Algeria A. Boukorra et al. https://doi.org/10.35208/ert.1705668
- Estimation of Atmospheric Fossil Fuel CO2 Traced by Δ14C: Current Status and Outlook M. Yu et al. https://doi.org/10.3390/atmos13122131
- Estimating regional fossil fuel CO2concentrations from14CO2observations: challenges and uncertainties F. Maier et al. https://doi.org/10.1098/rsta.2022.0203
- XCO2 Super-Resolution Reconstruction Based on Spatial Extreme Random Trees X. Li et al. https://doi.org/10.3390/atmos15040440
- A flexible algorithm for network design based on information theory R. Thompson & I. Pisso https://doi.org/10.5194/amt-16-235-2023
10 citations as recorded by crossref.
- Improved estimation of carbon dioxide and methane using machine learning with satellite observations over the Arabian Peninsula M. Alcibahy et al. https://doi.org/10.1038/s41598-024-84593-9
- Global Daily Column Average CO2 at 0.1° × 0.1° Spatial Resolution Integrating OCO-3, GOSAT, CAMS with EOF and Deep Learning F. Antezana Lopez et al. https://doi.org/10.1038/s41597-024-04135-w
- Accounting for meteorological biases in simulated plumes using smarter metrics P. Vanderbecken et al. https://doi.org/10.5194/amt-16-1745-2023
- Top-down Constraint on Regional Fossil Fuel CO2 Emissions in China using GOSAT and OCO-2 Satellite XCO2 Retrievals: A Case of the COVID-19 Lockdown W. Chang et al. https://doi.org/10.1007/s00376-024-4150-6
- Tracking and Quantifying Fossil Fuel CO2 Emissions by Radiocarbon (14C): A Review S. Cui et al. https://doi.org/10.3390/atmos17040363
- Satellite imagery and ground-based micro-sensors for estimating carbon dioxide concentrations: Application to the Oran Region, Algeria A. Boukorra et al. https://doi.org/10.35208/ert.1705668
- Estimation of Atmospheric Fossil Fuel CO2 Traced by Δ14C: Current Status and Outlook M. Yu et al. https://doi.org/10.3390/atmos13122131
- Estimating regional fossil fuel CO2concentrations from14CO2observations: challenges and uncertainties F. Maier et al. https://doi.org/10.1098/rsta.2022.0203
- XCO2 Super-Resolution Reconstruction Based on Spatial Extreme Random Trees X. Li et al. https://doi.org/10.3390/atmos15040440
- A flexible algorithm for network design based on information theory R. Thompson & I. Pisso https://doi.org/10.5194/amt-16-235-2023
Saved (final revised paper)
Latest update: 27 Aug 2026
Short summary
Atmospheric inversion at local–regional scales over Europe and pseudo-data assimilation are used to evaluate how CO2 and 14CO2 ground-based measurement networks could complement satellite CO2 imagers to monitor fossil fuel (FF) CO2 emissions. This combination significantly improves precision in the FF emission estimates in areas with a dense network but does not strongly support the separation of the FF from the biogenic signals or the spatio-temporal extrapolation of the satellite information.
Atmospheric inversion at local–regional scales over Europe and pseudo-data assimilation are used...