Articles | Volume 19, issue 20
https://doi.org/10.5194/acp-19-13017-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-13017-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Oct 2019
Research article |
| 22 Oct 2019
| 22 Oct 2019
On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems?
Brendan Byrne
CORRESPONDING AUTHOR
Department of Physics, University of Toronto, Toronto, Ontario, Canada
now at: Jet Propulsion Laboratory, California Institute of Technology, CA, USA
Dylan B. A. Jones
Department of Physics, University of Toronto, Toronto, Ontario, Canada
Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, California, USA
Kimberly Strong
Department of Physics, University of Toronto, Toronto, Ontario, Canada
Saroja M. Polavarapu
Climate Research Division, Environment and Climate Change Canada, Toronto, Ontario, Canada
Anna B. Harper
College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, UK
David F. Baker
NOAA Earth System Research Laboratory, Global Monitoring Division, Boulder, CO, USA
Cooperative Institute for Research in the Atmosphere, Colorado State University, Ft. Collins, CO, USA
Shamil Maksyutov
Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
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Cited
14 citations as recorded by crossref.
- A Robust Estimate of Continental‐Scale Terrestrial Carbon Sinks Using GOSAT XCO2 Retrievals L. Zhang et al. 10.1029/2023GL102815
- 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
- The Carbon Cycle of Southeast Australia During 2019–2020: Drought, Fires, and Subsequent Recovery B. Byrne et al. 10.1029/2021AV000469
- Impact of a Regional U.S. Drought on Land and Atmospheric Carbon E. Lee et al. 10.1029/2019JG005599
- 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
- Do State‐Of‐The‐Art Atmospheric CO2 Inverse Models Capture Drought Impacts on the European Land Carbon Uptake? W. He et al. 10.1029/2022MS003150
- Technical note: Posterior uncertainty estimation via a Monte Carlo procedure specialized for 4D-Var data assimilation M. Stanley et al. 10.5194/acp-24-9419-2024
- Five years of variability in the global carbon cycle: comparing an estimate from the Orbiting Carbon Observatory-2 and process-based models Z. Chen et al. 10.1088/1748-9326/abfac1
- Regional CO<sub>2</sub> fluxes from 2010 to 2015 inferred from GOSAT XCO<sub>2</sub> retrievals using a new version of the Global Carbon Assimilation System F. Jiang et al. 10.5194/acp-21-1963-2021
- Contrasting Regional Carbon Cycle Responses to Seasonal Climate Anomalies Across the East‐West Divide of Temperate North America B. Byrne et al. 10.1029/2020GB006598
- Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach M. Jung et al. 10.5194/bg-17-1343-2020
- Cropland Carbon Uptake Delayed and Reduced by 2019 Midwest Floods Y. Yin et al. 10.1029/2019AV000140
- Benefits of satellite XCO2 and newly proposed atmospheric CO2 observation network over India in constraining regional CO2 fluxes S. Halder et al. 10.1016/j.scitotenv.2021.151508
- Functional analysis of variance (ANOVA) for carbon flux estimates from remote sensing data J. Hobbs et al. 10.5194/gmd-17-1133-2024
14 citations as recorded by crossref.
- A Robust Estimate of Continental‐Scale Terrestrial Carbon Sinks Using GOSAT XCO2 Retrievals L. Zhang et al. 10.1029/2023GL102815
- 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
- The Carbon Cycle of Southeast Australia During 2019–2020: Drought, Fires, and Subsequent Recovery B. Byrne et al. 10.1029/2021AV000469
- Impact of a Regional U.S. Drought on Land and Atmospheric Carbon E. Lee et al. 10.1029/2019JG005599
- 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
- Do State‐Of‐The‐Art Atmospheric CO2 Inverse Models Capture Drought Impacts on the European Land Carbon Uptake? W. He et al. 10.1029/2022MS003150
- Technical note: Posterior uncertainty estimation via a Monte Carlo procedure specialized for 4D-Var data assimilation M. Stanley et al. 10.5194/acp-24-9419-2024
- Five years of variability in the global carbon cycle: comparing an estimate from the Orbiting Carbon Observatory-2 and process-based models Z. Chen et al. 10.1088/1748-9326/abfac1
- Regional CO<sub>2</sub> fluxes from 2010 to 2015 inferred from GOSAT XCO<sub>2</sub> retrievals using a new version of the Global Carbon Assimilation System F. Jiang et al. 10.5194/acp-21-1963-2021
- Contrasting Regional Carbon Cycle Responses to Seasonal Climate Anomalies Across the East‐West Divide of Temperate North America B. Byrne et al. 10.1029/2020GB006598
- Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach M. Jung et al. 10.5194/bg-17-1343-2020
- Cropland Carbon Uptake Delayed and Reduced by 2019 Midwest Floods Y. Yin et al. 10.1029/2019AV000140
- Benefits of satellite XCO2 and newly proposed atmospheric CO2 observation network over India in constraining regional CO2 fluxes S. Halder et al. 10.1016/j.scitotenv.2021.151508
- Functional analysis of variance (ANOVA) for carbon flux estimates from remote sensing data J. Hobbs et al. 10.5194/gmd-17-1133-2024
Latest update: 23 Nov 2024
Short summary
Interannual variations in net ecosystem exchange (NEE) estimated from the Greenhouse Gases Observing Satellite (GOSAT) XCO2 measurements are shown to be correlated (P < 0.05) with temperature and FLUXCOM NEE anomalies. Furthermore, the GOSAT-informed NEE anomalies are found to be better correlated with temperature and FLUXCOM anomalies than NEE estimates from most terrestrial biosphere models, suggesting that GOSAT CO2 measurements provide a useful constraint on NEE interannual variability.
Interannual variations in net ecosystem exchange (NEE) estimated from the Greenhouse Gases...
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