Articles | Volume 16, issue 3
Atmos. Chem. Phys., 16, 1289–1302, 2016
https://doi.org/10.5194/acp-16-1289-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 16, 1289–1302, 2016
https://doi.org/10.5194/acp-16-1289-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
04 Feb 2016
Research article
| 04 Feb 2016
Estimates of European uptake of CO2 inferred from GOSAT XCO2 retrievals: sensitivity to measurement bias inside and outside Europe
L. Feng et al.
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50 citations as recorded by crossref.
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- Sensitivity of CO2surface flux constraints to observational coverage B. Byrne et al. 10.1002/2016JD026164
- Mean European Carbon Sink Over 2010–2015 Estimated by Simultaneous Assimilation of Atmospheric CO 2 , Soil Moisture, and Vegetation Optical Depth M. Scholze et al. 10.1029/2019GL085725
- The impact of transport model differences on CO<sub>2</sub> surface flux estimates from OCO-2 retrievals of column average CO<sub>2</sub> S. Basu et al. 10.5194/acp-18-7189-2018
- Spatio-Temporal Consistency Evaluation of XCO2 Retrievals from GOSAT and OCO-2 Based on TCCON and Model Data for Joint Utilization in Carbon Cycle Research Y. Kong et al. 10.3390/atmos10070354
- Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects J. Exbrayat et al. 10.1007/s10712-019-09506-2
- A new space-borne perspective of crop productivity variations over the US Corn Belt P. Somkuti et al. 10.1016/j.agrformet.2019.107826
- Design and evaluation of CO<sub>2</sub> observation network to optimize surface CO<sub>2</sub> fluxes in Asia using observation system simulation experiments J. Park & H. Kim 10.5194/acp-20-5175-2020
- Global Carbon Budget 2020 P. Friedlingstein et al. 10.5194/essd-12-3269-2020
- Consistent regional fluxes of CH<sub>4</sub> and CO<sub>2</sub> inferred from GOSAT proxy XCH<sub>4</sub> : XCO<sub>2</sub> retrievals, 2010–2014 L. Feng et al. 10.5194/acp-17-4781-2017
- A global synthesis inversion analysis of recent variability in CO<sub>2</sub> fluxes using GOSAT and in situ observations J. Wang et al. 10.5194/acp-18-11097-2018
- Update on GOSAT TANSO-FTS performance, operations, and data products after more than 6 years in space A. Kuze et al. 10.5194/amt-9-2445-2016
- An increase in methane emissions from tropical Africa between 2010 and 2016 inferred from satellite data M. Lunt et al. 10.5194/acp-19-14721-2019
- Large Chinese land carbon sink estimated from atmospheric carbon dioxide data J. Wang et al. 10.1038/s41586-020-2849-9
- How Much CO2 Is Taken Up by the European Terrestrial Biosphere? M. Reuter et al. 10.1175/BAMS-D-15-00310.1
- Terrestrial ecosystem carbon flux estimated using GOSAT and OCO-2 XCO<sub>2</sub> retrievals H. Wang et al. 10.5194/acp-19-12067-2019
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- Errors and uncertainties in a gridded carbon dioxide emissions inventory T. Oda et al. 10.1007/s11027-019-09877-2
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- ECONOMIC ALGORITHM FOR EVALUATING THE PARAMETER FOR THE GLOBAL MODEL OF TRANSFER AND DIFFUSION M. Platonova & E. Klimova 10.33764/2618-981X-2020-4-1-123-128
- Fourier transform spectrometer measurements of column CO<sub>2</sub> at Sodankylä, Finland R. Kivi & P. Heikkinen 10.5194/gi-5-271-2016
- Validation of OCO-2 error analysis using simulated retrievals S. Kulawik et al. 10.5194/amt-12-5317-2019
- Effect of assimilating CO2 observations in the Korean Peninsula on the inverse modeling to estimate surface CO2 flux over Asia M. Cho et al. 10.1371/journal.pone.0263925
- An algorithm for estimating greenhouse gas fluxes using satellite data for a global transport and diffusion model M. Platonova & E. Klimova 10.1088/1742-6596/1715/1/012021
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- Impact of Siberian observations on the optimization of surface CO<sub>2</sub> flux J. Kim et al. 10.5194/acp-17-2881-2017
- Potential improvements in global carbon flux estimates from a network of laser heterodyne radiometer measurements of column carbon dioxide P. Palmer et al. 10.5194/amt-12-2579-2019
- The Orbiting Carbon Observatory-2: first 18 months of science data products A. Eldering et al. 10.5194/amt-10-549-2017
- An 11-year record of XCO<sub>2</sub> estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm T. Taylor et al. 10.5194/essd-14-325-2022
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- Can We Measure a COVID-19-Related Slowdown in Atmospheric CO2 Growth? Sensitivity of Total Carbon Column Observations R. Sussmann & M. Rettinger 10.3390/rs12152387
- 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
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- Atmospheric CO<sub>2</sub> inversions on the mesoscale using data-driven prior uncertainties: quantification of the European terrestrial CO<sub>2</sub> fluxes P. Kountouris et al. 10.5194/acp-18-3047-2018
- How biased are our models? – a case study of the alpine region D. Degen et al. 10.5194/gmd-14-7133-2021
- The 2015–2016 carbon cycle as seen from OCO-2 and the global in situ network S. Crowell et al. 10.5194/acp-19-9797-2019
- Monitoring carbon dioxide from space: Retrieval algorithm and flux inversion based on GOSAT data and using CarbonTracker-China D. Yang et al. 10.1007/s00376-017-6221-4
- Lower-tropospheric CO<sub>2</sub> from near-infrared ACOS-GOSAT observations S. Kulawik et al. 10.5194/acp-17-5407-2017
- The First Global Carbon Dioxide Flux Map Derived from TanSat Measurements D. Yang et al. 10.1007/s00376-021-1179-7
- The Open-source Data Inventory for Anthropogenic CO<sub>2</sub>, version 2016 (ODIAC2016): a global monthly fossil fuel CO<sub>2</sub> gridded emissions data product for tracer transport simulations and surface flux inversions T. Oda et al. 10.5194/essd-10-87-2018
- Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set M. Buchwitz et al. 10.1016/j.rse.2016.12.027
- Measurement of atmospheric CO<sub>2</sub> column concentrations to cloud tops with a pulsed multi-wavelength airborne lidar J. Mao et al. 10.5194/amt-11-127-2018
- Spatio-Temporal Mapping of Multi-Satellite Observed Column Atmospheric CO2 Using Precision-Weighted Kriging Method Z. He et al. 10.3390/rs12030576
- The TanSat mission: preliminary global observations Y. Liu et al. 10.1016/j.scib.2018.08.004
- Net carbon emissions from African biosphere dominate pan-tropical atmospheric CO2 signal P. Palmer et al. 10.1038/s41467-019-11097-w
- Comparison between the Local Ensemble Transform Kalman Filter (LETKF) and 4D‐Var in atmospheric CO 2 flux inversion with the Goddard Earth Observing System‐Chem model and the observation impact diagnostics from the LETKF J. Liu et al. 10.1002/2016JD025100
- Insights into geological processes with CO2 remote sensing – A review of technology and applications M. Queißer et al. 10.1016/j.earscirev.2018.11.016
- Gradients of column CO<sub>2</sub> across North America from the NOAA Global Greenhouse Gas Reference Network X. Lan et al. 10.5194/acp-17-15151-2017
2 citations as recorded by crossref.
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Latest update: 08 Aug 2022
Short summary
There is an on-going debate on the larger European biospheric uptake inferred from GOSAT XCO2 retrievals than those inferred from in situ data. Using a set of 15 experiments, we found that the elevated uptake over Europe could largely be explained by mis-fitting data due to regional XCO2 biases: 50–80 % of the elevated European uptake is due to retrievals outside the immediate European; and a varying monthly bias of up to 0.5 ppm for XCO2 retrievals over Europe could explain most of the remainder.
There is an on-going debate on the larger European biospheric uptake inferred from GOSAT XCO2...
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