Articles | Volume 20, issue 14
https://doi.org/10.5194/acp-20-8473-2020
© Author(s) 2020. 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-20-8473-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The potential of Orbiting Carbon Observatory-2 data to reduce the uncertainties in CO2 surface fluxes over Australia using a variational assimilation scheme
Yohanna Villalobos
CORRESPONDING AUTHOR
School of Earth Sciences, University of Melbourne, Melbourne, Australia
ARC Centre of Excellence for Climate Extremes, Sydney, Australia
Peter Rayner
School of Earth Sciences, University of Melbourne, Melbourne, Australia
ARC Centre of Excellence for Climate Extremes, Sydney, Australia
Steven Thomas
School of Earth Sciences, University of Melbourne, Melbourne, Australia
Jeremy Silver
School of Earth Sciences, University of Melbourne, Melbourne, Australia
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Total article views: 2,818 (including HTML, PDF, and XML)
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Cited
12 citations as recorded by crossref.
- Was Australia a sink or source of CO2 in 2015? Data assimilation using OCO-2 satellite measurements Y. Villalobos et al. 10.5194/acp-21-17453-2021
- An Analysis Method of Gas Absorption Spectrum Characteristics Based on Fuzzy Comprehensive Evaluation Z. Wu et al. 10.1109/JSTARS.2023.3322640
- Using OCO-2 Observations to Constrain Regional CO2 Fluxes Estimated with the Vegetation, Photosynthesis and Respiration Model I. Konovalov et al. 10.3390/rs17020177
- Interannual variability in the Australian carbon cycle over 2015–2019, based on assimilation of Orbiting Carbon Observatory-2 (OCO-2) satellite data Y. Villalobos et al. 10.5194/acp-22-8897-2022
- CO2 Flux over the Contiguous United States in 2016 Inverted by WRF-Chem/DART from OCO-2 XCO2 Retrievals Q. Zhang et al. 10.3390/rs13152996
- Exploring uncertainty reduction in high-resolution methane emissions in Gippsland through in-situ data: A Bayesian inverse modeling and variational assimilation method S. Aghdasi et al. 10.1016/j.atmosres.2025.107911
- Functional analysis of variance (ANOVA) for carbon flux estimates from remote sensing data J. Hobbs et al. 10.5194/gmd-17-1133-2024
- A XCO Retrieval Algorithm Coupled Spatial Correlation for the Aerosol and Carbon Detection Lidar Z. Pei et al. 10.1016/j.atmosenv.2023.119933
- Evaluating consistency between total column CO2 retrievals from OCO-2 and the in situ network over North America: implications for carbon flux estimation B. Rastogi et al. 10.5194/acp-21-14385-2021
- A Method for Estimating the Background Column Concentration of CO2 Using the Lagrangian Approach Z. Pei et al. 10.1109/TGRS.2022.3176134
- A Comprehensive Assessment of Anthropogenic and Natural Sources and Sinks of Australasia's Carbon Budget Y. Villalobos et al. 10.1029/2023GB007845
- Soil respiration–driven CO 2 pulses dominate Australia’s flux variability E. Metz et al. 10.1126/science.add7833
12 citations as recorded by crossref.
- Was Australia a sink or source of CO2 in 2015? Data assimilation using OCO-2 satellite measurements Y. Villalobos et al. 10.5194/acp-21-17453-2021
- An Analysis Method of Gas Absorption Spectrum Characteristics Based on Fuzzy Comprehensive Evaluation Z. Wu et al. 10.1109/JSTARS.2023.3322640
- Using OCO-2 Observations to Constrain Regional CO2 Fluxes Estimated with the Vegetation, Photosynthesis and Respiration Model I. Konovalov et al. 10.3390/rs17020177
- Interannual variability in the Australian carbon cycle over 2015–2019, based on assimilation of Orbiting Carbon Observatory-2 (OCO-2) satellite data Y. Villalobos et al. 10.5194/acp-22-8897-2022
- CO2 Flux over the Contiguous United States in 2016 Inverted by WRF-Chem/DART from OCO-2 XCO2 Retrievals Q. Zhang et al. 10.3390/rs13152996
- Exploring uncertainty reduction in high-resolution methane emissions in Gippsland through in-situ data: A Bayesian inverse modeling and variational assimilation method S. Aghdasi et al. 10.1016/j.atmosres.2025.107911
- Functional analysis of variance (ANOVA) for carbon flux estimates from remote sensing data J. Hobbs et al. 10.5194/gmd-17-1133-2024
- A XCO Retrieval Algorithm Coupled Spatial Correlation for the Aerosol and Carbon Detection Lidar Z. Pei et al. 10.1016/j.atmosenv.2023.119933
- Evaluating consistency between total column CO2 retrievals from OCO-2 and the in situ network over North America: implications for carbon flux estimation B. Rastogi et al. 10.5194/acp-21-14385-2021
- A Method for Estimating the Background Column Concentration of CO2 Using the Lagrangian Approach Z. Pei et al. 10.1109/TGRS.2022.3176134
- A Comprehensive Assessment of Anthropogenic and Natural Sources and Sinks of Australasia's Carbon Budget Y. Villalobos et al. 10.1029/2023GB007845
- Soil respiration–driven CO 2 pulses dominate Australia’s flux variability E. Metz et al. 10.1126/science.add7833
Latest update: 02 Apr 2025
Short summary
Estimated carbon fluxes for Australia are subject to considerable uncertainty. We ran simulation experiments over Australia to determine how much these uncertainties can be constrained using satellite data. We found that the satellite data has the potential to reduce these uncertainties up to 80 % across the whole continent. For 1 month, this percentage corresponds to 0.51 Pg C y-1 for Australia. This method could lead to significantly more accurate estimates of Australia's carbon budget.
Estimated carbon fluxes for Australia are subject to considerable uncertainty. We ran simulation...
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