Articles | Volume 18, issue 4
https://doi.org/10.5194/acp-18-3047-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-18-3047-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
02 Mar 2018
Research article |
| 02 Mar 2018
Atmospheric CO2 inversions on the mesoscale using data-driven prior uncertainties: quantification of the European terrestrial CO2 fluxes
Panagiotis Kountouris
CORRESPONDING AUTHOR
Department of Biogeochemical Systems, Max Planck Institute for Biogeochemistry, Jena, Germany
Christoph Gerbig
Department of Biogeochemical Systems, Max Planck Institute for Biogeochemistry, Jena, Germany
Christian Rödenbeck
Department of Biogeochemical Systems, Max Planck Institute for Biogeochemistry, Jena, Germany
Ute Karstens
Department of Biogeochemical Systems, Max Planck Institute for Biogeochemistry, Jena, Germany
now at: ICOS Carbon Portal, Lund University, Lund, Sweden
Thomas F. Koch
Meteorological Observatory Hohenpeissenberg, Deutscher Wetterdienst,
Germany
Martin Heimann
Department of Biogeochemical Systems, Max Planck Institute for Biogeochemistry, Jena, Germany
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35 citations as recorded by crossref.
- A High-Resolution Monitoring Approach of Urban Co2 Fluxes. Part 2 - Optimisation Framework Using Eddy Covariance Observations S. Stagakis et al. https://doi.org/10.2139/ssrn.4172740
- A high-resolution monitoring approach of urban CO2 fluxes. Part 2 – surface flux optimisation using eddy covariance observations S. Stagakis et al. https://doi.org/10.1016/j.scitotenv.2023.166035
- Technical Note: Atmospheric CO2 inversions on the mesoscale using data-driven prior uncertainties: methodology and system evaluation P. Kountouris et al. https://doi.org/10.5194/acp-18-3027-2018
- Quantification of CO2 and CH4 emissions over Sacramento, California, based on divergence theorem using aircraft measurements J. Ryoo et al. https://doi.org/10.5194/amt-12-2949-2019
- The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990–2018 A. Petrescu et al. https://doi.org/10.5194/essd-13-2363-2021
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- Quantifying the Impact of COVID‐19 Pandemic on the Spatiotemporal Changes of CO2 Concentrations in the Yangtze River Delta, China Y. Wang et al. https://doi.org/10.1029/2023JD038512
- Towards improving top–down national CO2 estimation in Europe: potential from expanding the ICOS atmospheric network in Italy Y. Villalobos et al. https://doi.org/10.1088/1748-9326/adc41e
- Multi-species inversion and IAGOS airborne data for a better constraint of continental-scale fluxes F. Boschetti et al. https://doi.org/10.5194/acp-18-9225-2018
- Quantifying facility-scale CO2 emissions using spaceborne hyperspectral imageries G. Han et al. https://doi.org/10.1016/j.rse.2026.115478
- Analysis of 5.5 years of atmospheric CO2, CH4, CO continuous observations (2014–2020) and their correlations, at the Observatoire de Haute Provence, a station of the ICOS-France national greenhouse gases observation network L. Lelandais et al. https://doi.org/10.1016/j.atmosenv.2022.119020
- Regional CO2 inversions with LUMIA, the Lund University Modular Inversion Algorithm, v1.0 G. Monteil & M. Scholze https://doi.org/10.5194/gmd-14-3383-2021
- Towards verifying and improving estimations of China's CO2 and CH4 budgets using atmospheric inversions Y. Wang et al. https://doi.org/10.1093/nsr/nwaf090
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- The fingerprint of the summer 2018 drought in Europe on ground-based atmospheric CO2measurements M. Ramonet et al. https://doi.org/10.1098/rstb.2019.0513
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- Using OCO-2 Observations to Constrain Regional CO2 Fluxes Estimated with the Vegetation, Photosynthesis and Respiration Model I. Konovalov et al. https://doi.org/10.3390/rs17020177
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- Temporal Error Correlations in a Terrestrial Carbon Cycle Model Derived by Comparison to Carbon Dioxide Eddy Covariance Flux Tower Measurements D. Wesloh et al. https://doi.org/10.1029/2023JG007526
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- The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990–2020 M. McGrath et al. https://doi.org/10.5194/essd-15-4295-2023
- The carbon sink in China as seen from GOSAT with a regional inversion system based on the Community Multi-scale Air Quality (CMAQ) and ensemble Kalman smoother (EnKS) X. Kou et al. https://doi.org/10.5194/acp-23-6719-2023
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- Development of a Mesoscale Inversion System for Estimating Continental‐Scale CO2 Fluxes D. Wesloh et al. https://doi.org/10.1029/2019MS001818
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- Investigating information transfer in CO2 flux inversions: an analysis of ensemble Kalman filter based on Monte Carlo simulations S. Fan & Y. Li https://doi.org/10.5194/acp-26-9257-2026
- Continuous atmospheric CO2, CH4 and CO measurements at the Observatoire Pérenne de l'Environnement (OPE) station in France from 2011 to 2018 S. Conil et al. https://doi.org/10.5194/amt-12-6361-2019
- The CO2 record at the Amazon Tall Tower Observatory: A new opportunity to study processes on seasonal and inter‐annual scales S. Botía et al. https://doi.org/10.1111/gcb.15905
- Changes in net ecosystem exchange over Europe during the 2018 drought based on atmospheric observations R. Thompson et al. https://doi.org/10.1098/rstb.2019.0512
35 citations as recorded by crossref.
- A High-Resolution Monitoring Approach of Urban Co2 Fluxes. Part 2 - Optimisation Framework Using Eddy Covariance Observations S. Stagakis et al. https://doi.org/10.2139/ssrn.4172740
- A high-resolution monitoring approach of urban CO2 fluxes. Part 2 – surface flux optimisation using eddy covariance observations S. Stagakis et al. https://doi.org/10.1016/j.scitotenv.2023.166035
- Technical Note: Atmospheric CO2 inversions on the mesoscale using data-driven prior uncertainties: methodology and system evaluation P. Kountouris et al. https://doi.org/10.5194/acp-18-3027-2018
- Quantification of CO2 and CH4 emissions over Sacramento, California, based on divergence theorem using aircraft measurements J. Ryoo et al. https://doi.org/10.5194/amt-12-2949-2019
- The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990–2018 A. Petrescu et al. https://doi.org/10.5194/essd-13-2363-2021
- Do State‐Of‐The‐Art Atmospheric CO2 Inverse Models Capture Drought Impacts on the European Land Carbon Uptake? W. He et al. https://doi.org/10.1029/2022MS003150
- Quantifying the Impact of COVID‐19 Pandemic on the Spatiotemporal Changes of CO2 Concentrations in the Yangtze River Delta, China Y. Wang et al. https://doi.org/10.1029/2023JD038512
- Towards improving top–down national CO2 estimation in Europe: potential from expanding the ICOS atmospheric network in Italy Y. Villalobos et al. https://doi.org/10.1088/1748-9326/adc41e
- Multi-species inversion and IAGOS airborne data for a better constraint of continental-scale fluxes F. Boschetti et al. https://doi.org/10.5194/acp-18-9225-2018
- Quantifying facility-scale CO2 emissions using spaceborne hyperspectral imageries G. Han et al. https://doi.org/10.1016/j.rse.2026.115478
- Analysis of 5.5 years of atmospheric CO2, CH4, CO continuous observations (2014–2020) and their correlations, at the Observatoire de Haute Provence, a station of the ICOS-France national greenhouse gases observation network L. Lelandais et al. https://doi.org/10.1016/j.atmosenv.2022.119020
- Regional CO2 inversions with LUMIA, the Lund University Modular Inversion Algorithm, v1.0 G. Monteil & M. Scholze https://doi.org/10.5194/gmd-14-3383-2021
- Towards verifying and improving estimations of China's CO2 and CH4 budgets using atmospheric inversions Y. Wang et al. https://doi.org/10.1093/nsr/nwaf090
- Analysis of regional CO2 contributions at the high Alpine observatory Jungfraujoch by means of atmospheric transport simulations and δ13C S. Pieber et al. https://doi.org/10.5194/acp-22-10721-2022
- Analysis of CO2 spatio-temporal variations in China using a weather–biosphere online coupled model X. Dong et al. https://doi.org/10.5194/acp-21-7217-2021
- The fingerprint of the summer 2018 drought in Europe on ground-based atmospheric CO2measurements M. Ramonet et al. https://doi.org/10.1098/rstb.2019.0513
- The regional European atmospheric transport inversion comparison, EUROCOM: first results on European-wide terrestrial carbon fluxes for the period 2006–2015 G. Monteil et al. https://doi.org/10.5194/acp-20-12063-2020
- A comparison of CO2 emissions from the national greenhouse gases inventory report with CO2 emissions from the global inverse models and the regional WRF-Chem in the Korean Peninsula Y. Cho et al. https://doi.org/10.1007/s11027-024-10195-5
- Using OCO-2 Observations to Constrain Regional CO2 Fluxes Estimated with the Vegetation, Photosynthesis and Respiration Model I. Konovalov et al. https://doi.org/10.3390/rs17020177
- Combined CO2 measurement record indicates Amazon forest carbon uptake is offset by savanna carbon release S. Botía et al. https://doi.org/10.5194/acp-25-6219-2025
- Using satellite-based Sun-induced chlorophyll fluorescence and spectral reflectance for improving terrestrial CO2 flux estimates of India A. Ravi et al. https://doi.org/10.1088/2752-664X/adabed
- Temporal Error Correlations in a Terrestrial Carbon Cycle Model Derived by Comparison to Carbon Dioxide Eddy Covariance Flux Tower Measurements D. Wesloh et al. https://doi.org/10.1029/2023JG007526
- Net ecosystem exchange (NEE) estimates 2006–2019 over Europe from a pre-operational ensemble-inversion system S. Munassar et al. https://doi.org/10.5194/acp-22-7875-2022
- The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990–2020 M. McGrath et al. https://doi.org/10.5194/essd-15-4295-2023
- The carbon sink in China as seen from GOSAT with a regional inversion system based on the Community Multi-scale Air Quality (CMAQ) and ensemble Kalman smoother (EnKS) X. Kou et al. https://doi.org/10.5194/acp-23-6719-2023
- Variation of XCO2 anomaly patterns in the Middle East from OCO-2 satellite data F. Golkar & S. Mousavi https://doi.org/10.1080/17538947.2022.2096936
- Why do inverse models disagree? A case study with two European CO2 inversions S. Munassar et al. https://doi.org/10.5194/acp-23-2813-2023
- Mean European Carbon Sink Over 2010–2015 Estimated by Simultaneous Assimilation of Atmospheric CO2, Soil Moisture, and Vegetation Optical Depth M. Scholze et al. https://doi.org/10.1029/2019GL085725
- Quantifying the UK's carbon dioxide flux: an atmospheric inverse modelling approach using a regional measurement network E. White et al. https://doi.org/10.5194/acp-19-4345-2019
- Development of a Mesoscale Inversion System for Estimating Continental‐Scale CO2 Fluxes D. Wesloh et al. https://doi.org/10.1029/2019MS001818
- Representativeness assessment of the pan-Arctic eddy covariance site network and optimized future enhancements M. Pallandt et al. https://doi.org/10.5194/bg-19-559-2022
- Investigating information transfer in CO2 flux inversions: an analysis of ensemble Kalman filter based on Monte Carlo simulations S. Fan & Y. Li https://doi.org/10.5194/acp-26-9257-2026
- Continuous atmospheric CO2, CH4 and CO measurements at the Observatoire Pérenne de l'Environnement (OPE) station in France from 2011 to 2018 S. Conil et al. https://doi.org/10.5194/amt-12-6361-2019
- The CO2 record at the Amazon Tall Tower Observatory: A new opportunity to study processes on seasonal and inter‐annual scales S. Botía et al. https://doi.org/10.1111/gcb.15905
- Changes in net ecosystem exchange over Europe during the 2018 drought based on atmospheric observations R. Thompson et al. https://doi.org/10.1098/rstb.2019.0512
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