Articles | Volume 18, issue 15
https://doi.org/10.5194/acp-18-11097-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-18-11097-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Aug 2018
Research article |
| 09 Aug 2018
| 09 Aug 2018
A global synthesis inversion analysis of recent variability in CO2 fluxes using GOSAT and in situ observations
James S. Wang
CORRESPONDING AUTHOR
Universities Space Research Association, Columbia, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
S. Randolph Kawa
NASA Goddard Space Flight Center, Greenbelt, MD, USA
G. James Collatz
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Motoki Sasakawa
National Institute for Environmental Studies, Center for Global
Environmental Research, Ibaraki, Tsukuba Onogawa, Japan
Luciana V. Gatti
Instituto de Pesquisas Energéticas e Nucleares (IPEN) – Comissão
Nacional de Energia Nuclear (CNEN), São Paulo, Brazil
Toshinobu Machida
National Institute for Environmental Studies, Center for Global
Environmental Research, Ibaraki, Tsukuba Onogawa, Japan
Yuping Liu
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications, Inc., Lanham, MD, USA
Michael E. Manyin
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications, Inc., Lanham, MD, USA
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33 citations as recorded by crossref.
- A Synthesis Inversion to Constrain Global Emissions of Two Very Short Lived Chlorocarbons: Dichloromethane, and Perchloroethylene T. Claxton et al. 10.1029/2019JD031818
- Four years of global carbon cycle observed from the Orbiting Carbon Observatory 2 (OCO-2) version 9 and in situ data and comparison to OCO-2 version 7 H. Peiro et al. 10.5194/acp-22-1097-2022
- Spatial heterogeneity in CO2, CH4, and energy fluxes: insights from airborne eddy covariance measurements over the Mid-Atlantic region R. Hannun et al. 10.1088/1748-9326/ab7391
- Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
- Estimated regional CO2 flux and uncertainty based on an ensemble of atmospheric CO2 inversions N. Chandra et al. 10.5194/acp-22-9215-2022
- The impacts of fossil fuel emission uncertainties and accounting for 3-D chemical CO2 production on inverse natural carbon flux estimates from satellite and in situ data J. Wang et al. 10.1088/1748-9326/ab9795
- 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. 10.5194/acp-23-6719-2023
- Enhancing scientific transparency in national CO2 emissions reports via satellite-based a posteriori estimates M. Watanabe et al. 10.1038/s41598-023-42664-3
- Independent Bias Correction Method for Satellite Observation Data Introduced to CO<sub>2</sub> Flux Inversion T. Maki et al. 10.2151/sola.2023-021
- The Potential of the Geostationary Carbon Cycle Observatory (GeoCarb) to Provide Multi-scale Constraints on the Carbon Cycle in the Americas B. Moore III et al. 10.3389/fenvs.2018.00109
- Improving the ensemble square root filter (EnSRF) in the Community Inversion Framework: a case study with ICON-ART 2024.01 J. Thanwerdas et al. 10.5194/gmd-18-1505-2025
- Greenhouse gas observation network design for Africa A. Nickless et al. 10.1080/16000889.2020.1824486
- CO2 Flux Inversion With a Regional Joint Data Assimilation System Based on CMAQ, EnKS, and Surface Observations Z. Peng et al. 10.1029/2022JD037154
- Improved Constraints on Northern Extratropical CO2 Fluxes Obtained by Combining Surface‐Based and Space‐Based Atmospheric CO2 Measurements B. Byrne et al. 10.1029/2019JD032029
- Seasonal Variability in Local Carbon Dioxide Biomass Burning Sources Over Central and Eastern US Using Airborne In Situ Enhancement Ratios J. DiGangi et al. 10.1029/2020JD034525
- Deriving Full‐Coverage and Fine‐Scale XCO2 Across China Based on OCO‐2 Satellite Retrievals and CarbonTracker Output C. He et al. 10.1029/2022GL098435
- Application of NASA-Unified WRF model to carbon dioxide simulation- model development and evaluation Z. Tao et al. 10.1016/j.envsoft.2020.104785
- A Robust Estimate of Continental‐Scale Terrestrial Carbon Sinks Using GOSAT XCO2 Retrievals L. Zhang et al. 10.1029/2023GL102815
- Prior biosphere model impact on global terrestrial CO2 fluxes estimated from OCO-2 retrievals S. Philip et al. 10.5194/acp-19-13267-2019
- The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps G. Hurtt et al. 10.1088/1748-9326/ac7407
- A review of datasets and methods for deriving spatiotemporal distributions of atmospheric CO2 C. He et al. 10.1016/j.jenvman.2022.116101
- Regional CO2 fluxes from 2010 to 2015 inferred from GOSAT XCO2 retrievals using a new version of the Global Carbon Assimilation System F. Jiang et al. 10.5194/acp-21-1963-2021
- Multi-sensor integrated mapping of global XCO2 from 2015 to 2021 with a local random forest model J. Chen et al. 10.1016/j.isprsjprs.2024.01.009
- Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al. 10.1029/2019RG000652
- Optimizing 4 years of CO2 biospheric fluxes from OCO-2 and in situ data in TM5: fire emissions from GFED and inferred from MOPITT CO data H. Peiro et al. 10.5194/acp-22-15817-2022
- Improved estimates of net ecosystem exchanges in mega-countries using GOSAT and OCO-2 observations L. Zhang et al. 10.1038/s43247-024-01910-w
- Modelling CO2 weather – why horizontal resolution matters A. Agustí-Panareda et al. 10.5194/acp-19-7347-2019
- Study on the Ground-Based FTS Measurements at Beijing, China and the Colocation Sensitivity of Satellite Data S. Yang et al. 10.3390/atmos12121586
- A review of carbon monitoring in wet carbon systems using remote sensing A. Campbell et al. 10.1088/1748-9326/ac4d4d
- Spatial and Temporal Variations of Atmospheric CO2 Concentration in China and Its Influencing Factors Z. Lv et al. 10.3390/atmos11030231
- The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
- Review of drought impacts on carbon cycling in grassland ecosystems T. Lei et al. 10.1007/s11707-019-0778-4
- Rapid decline of carbon monoxide emissions in the Fenwei Plain in China during the three-year Action Plan on defending the blue sky M. Jia et al. 10.1016/j.jenvman.2023.117735
Discussed (final revised paper)
Latest update: 02 Apr 2025
Short summary
We used measurements of CO2 in the atmosphere from the GOSAT satellite and from surface sites around the world, together with a transport model and a unique estimation technique, to quantify CO2 sources and removals over a recent period. We find that climate variations can strongly influence uptake by vegetation and release in decay and fires. However, regional gaps in observations and inaccuracies to which current satellite technology is susceptible result in important estimation biases.
We used measurements of CO2 in the atmosphere from the GOSAT satellite and from surface sites...
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