Articles | Volume 18, issue 9
https://doi.org/10.5194/acp-18-6785-2018
© Author(s) 2018. 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-18-6785-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 May 2018
Research article |
| 16 May 2018
| 16 May 2018
Characterizing biospheric carbon balance using CO2 observations from the OCO-2 satellite
Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA
now at: the Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, MD, USA
Anna M. Michalak
Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA
Vineet Yadav
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Jovan M. Tadić
Lawrence Berkeley National Laboratory, Berkeley, CA, USA
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Cited
25 citations as recorded by crossref.
- Evaluation of the Potential Use of Satellite-Derived XCO2 in Detecting CO2 Enhancement in Megacities with Limited Ground Observations: A Case Study in Seoul Using Orbiting Carbon Observatory-2 C. Park et al. https://doi.org/10.1007/s13143-020-00202-5
- Evaluating two soil carbon models within the global land surface model JSBACH using surface and spaceborne observations of atmospheric CO2 T. Thum et al. https://doi.org/10.5194/bg-17-5721-2020
- An inversion method for estimating strong point carbon dioxide emissions using a differential absorption Lidar T. Shi et al. https://doi.org/10.1016/j.jclepro.2020.122434
- The role of OCO-3 XCO2 retrievals in estimating global terrestrial net ecosystem exchanges X. Wang et al. https://doi.org/10.5194/acp-25-867-2025
- Computationally efficient methods for large-scale atmospheric inverse modeling T. Cho et al. https://doi.org/10.5194/gmd-15-5547-2022
- Challenges in Monitoring Atmospheric CO2 Concentrations in Seoul Using Low-Cost Sensors C. Park et al. https://doi.org/10.1007/s13143-020-00213-2
- Seasonal dynamics and impact factors of atmospheric CO2 concentration over subtropical forest canopies: observation from eddy covariance tower and OCO-2 satellite in Northwest Himalaya, India T. Watham et al. https://doi.org/10.1007/s10661-021-08896-4
- A Sensitivity Study of the 4.8 µm Carbon Dioxide Absorption Band in the MWIR Spectral Range V. Romaniello et al. https://doi.org/10.3390/rs12010172
- The impact of improved satellite retrievals on estimates of biospheric carbon balance S. Miller & A. Michalak https://doi.org/10.5194/acp-20-323-2020
- A fast and accurate vector radiative transfer model for simulating the near-infrared hyperspectral scattering processes in clear atmospheric conditions W. Bai et al. https://doi.org/10.1016/j.jqsrt.2019.106736
- 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. https://doi.org/10.1088/1748-9326/abfac1
- Linking global terrestrial CO2 fluxes and environmental drivers: inferences from the Orbiting Carbon Observatory 2 satellite and terrestrial biospheric models Z. Chen et al. https://doi.org/10.5194/acp-21-6663-2021
- Evaluating GPP and Respiration Estimates Over Northern Midlatitude Ecosystems Using Solar‐Induced Fluorescence and Atmospheric CO2 Measurements B. Byrne et al. https://doi.org/10.1029/2018JG004472
- Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects J. Exbrayat et al. https://doi.org/10.1007/s10712-019-09506-2
- A joint reconstruction and model selection approach for large-scale linear inverse modeling (msHyBR v2) M. Sabaté Landman et al. https://doi.org/10.5194/gmd-17-8853-2024
- 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. https://doi.org/10.5194/acp-22-1097-2022
- A global surface CO2 flux dataset (2015–2022) inferred from OCO-2 retrievals using the GONGGA inversion system Z. Jin et al. https://doi.org/10.5194/essd-16-2857-2024
- Flexible Krylov methods for group sparsity regularization J. Chung & M. Sabaté Landman https://doi.org/10.1088/1402-4896/ad88af
- A Methodology for CO2 Retrieval Applied to Hyperspectral PRISMA Data V. Romaniello et al. https://doi.org/10.3390/rs13224502
- Effect of assimilating CO2 observations in the Korean Peninsula on the inverse modeling to estimate surface CO2 flux over Asia M. Cho et al. https://doi.org/10.1371/journal.pone.0263925
- Net carbon emissions from African biosphere dominate pan-tropical atmospheric CO2 signal P. Palmer et al. https://doi.org/10.1038/s41467-019-11097-w
- Geostatistical inverse modeling with very large datasets: an example from the Orbiting Carbon Observatory 2 (OCO-2) satellite S. Miller et al. https://doi.org/10.5194/gmd-13-1771-2020
- Solar‐Induced Fluorescence Helps Constrain Global Patterns in Net Biosphere Exchange, as Estimated Using Atmospheric CO2 Observations M. Zhang et al. https://doi.org/10.1029/2023JG007703
- Terrestrial ecosystem carbon flux estimated using GOSAT and OCO-2 XCO2 retrievals H. Wang et al. https://doi.org/10.5194/acp-19-12067-2019
- Hybrid Projection Methods for Solution Decomposition in Large-Scale Bayesian Inverse Problems J. Chung et al. https://doi.org/10.1137/22M1502197
25 citations as recorded by crossref.
- Evaluation of the Potential Use of Satellite-Derived XCO2 in Detecting CO2 Enhancement in Megacities with Limited Ground Observations: A Case Study in Seoul Using Orbiting Carbon Observatory-2 C. Park et al. https://doi.org/10.1007/s13143-020-00202-5
- Evaluating two soil carbon models within the global land surface model JSBACH using surface and spaceborne observations of atmospheric CO2 T. Thum et al. https://doi.org/10.5194/bg-17-5721-2020
- An inversion method for estimating strong point carbon dioxide emissions using a differential absorption Lidar T. Shi et al. https://doi.org/10.1016/j.jclepro.2020.122434
- The role of OCO-3 XCO2 retrievals in estimating global terrestrial net ecosystem exchanges X. Wang et al. https://doi.org/10.5194/acp-25-867-2025
- Computationally efficient methods for large-scale atmospheric inverse modeling T. Cho et al. https://doi.org/10.5194/gmd-15-5547-2022
- Challenges in Monitoring Atmospheric CO2 Concentrations in Seoul Using Low-Cost Sensors C. Park et al. https://doi.org/10.1007/s13143-020-00213-2
- Seasonal dynamics and impact factors of atmospheric CO2 concentration over subtropical forest canopies: observation from eddy covariance tower and OCO-2 satellite in Northwest Himalaya, India T. Watham et al. https://doi.org/10.1007/s10661-021-08896-4
- A Sensitivity Study of the 4.8 µm Carbon Dioxide Absorption Band in the MWIR Spectral Range V. Romaniello et al. https://doi.org/10.3390/rs12010172
- The impact of improved satellite retrievals on estimates of biospheric carbon balance S. Miller & A. Michalak https://doi.org/10.5194/acp-20-323-2020
- A fast and accurate vector radiative transfer model for simulating the near-infrared hyperspectral scattering processes in clear atmospheric conditions W. Bai et al. https://doi.org/10.1016/j.jqsrt.2019.106736
- 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. https://doi.org/10.1088/1748-9326/abfac1
- Linking global terrestrial CO2 fluxes and environmental drivers: inferences from the Orbiting Carbon Observatory 2 satellite and terrestrial biospheric models Z. Chen et al. https://doi.org/10.5194/acp-21-6663-2021
- Evaluating GPP and Respiration Estimates Over Northern Midlatitude Ecosystems Using Solar‐Induced Fluorescence and Atmospheric CO2 Measurements B. Byrne et al. https://doi.org/10.1029/2018JG004472
- Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects J. Exbrayat et al. https://doi.org/10.1007/s10712-019-09506-2
- A joint reconstruction and model selection approach for large-scale linear inverse modeling (msHyBR v2) M. Sabaté Landman et al. https://doi.org/10.5194/gmd-17-8853-2024
- 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. https://doi.org/10.5194/acp-22-1097-2022
- A global surface CO2 flux dataset (2015–2022) inferred from OCO-2 retrievals using the GONGGA inversion system Z. Jin et al. https://doi.org/10.5194/essd-16-2857-2024
- Flexible Krylov methods for group sparsity regularization J. Chung & M. Sabaté Landman https://doi.org/10.1088/1402-4896/ad88af
- A Methodology for CO2 Retrieval Applied to Hyperspectral PRISMA Data V. Romaniello et al. https://doi.org/10.3390/rs13224502
- Effect of assimilating CO2 observations in the Korean Peninsula on the inverse modeling to estimate surface CO2 flux over Asia M. Cho et al. https://doi.org/10.1371/journal.pone.0263925
- Net carbon emissions from African biosphere dominate pan-tropical atmospheric CO2 signal P. Palmer et al. https://doi.org/10.1038/s41467-019-11097-w
- Geostatistical inverse modeling with very large datasets: an example from the Orbiting Carbon Observatory 2 (OCO-2) satellite S. Miller et al. https://doi.org/10.5194/gmd-13-1771-2020
- Solar‐Induced Fluorescence Helps Constrain Global Patterns in Net Biosphere Exchange, as Estimated Using Atmospheric CO2 Observations M. Zhang et al. https://doi.org/10.1029/2023JG007703
- Terrestrial ecosystem carbon flux estimated using GOSAT and OCO-2 XCO2 retrievals H. Wang et al. https://doi.org/10.5194/acp-19-12067-2019
- Hybrid Projection Methods for Solution Decomposition in Large-Scale Bayesian Inverse Problems J. Chung et al. https://doi.org/10.1137/22M1502197
Saved (final revised paper)
Latest update: 09 Nov 2026
Short summary
NASA's Orbiting Carbon Observatory 2 (OCO-2) satellite observes CO2 in the atmosphere globally. We evaluate the extent to which current OCO-2 observations can inform scientific understanding of the biospheric carbon balance. We find that current observations are best-equipped to constrain the biospheric carbon balance across continental or hemispheric regions and provide limited information on smaller regions.
NASA's Orbiting Carbon Observatory 2 (OCO-2) satellite observes CO2 in the atmosphere globally....
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