Articles | Volume 14, issue 23
https://doi.org/10.5194/acp-14-12883-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-14-12883-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Dec 2014
Research article |
| 08 Dec 2014
Estimating regional fluxes of CO2 and CH4 using space-borne observations of XCH4: XCO2
A. Fraser
School of GeoSciences, University of Edinburgh, Edinburgh, UK
School of GeoSciences, University of Edinburgh, Edinburgh, UK
L. Feng
School of GeoSciences, University of Edinburgh, Edinburgh, UK
H. Bösch
Department of Physics and Astronomy, University of Leicester, Leicester, UK
R. Parker
Department of Physics and Astronomy, University of Leicester, Leicester, UK
E. J. Dlugokencky
US National Oceanic and Atmospheric Administration, Global Monitoring Division, Earth System Research Laboratory, Boulder, Colorado, USA
P. B. Krummel
Centre for Australian Weather and Climate Research, CSIRO Marine and Atmospheric Research, Aspendale, Victoria, Australia
R. L. Langenfelds
Centre for Australian Weather and Climate Research, CSIRO Marine and Atmospheric Research, Aspendale, Victoria, Australia
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Cited
28 citations as recorded by crossref.
- 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
- The added value of satellite observations of methane forunderstanding the contemporary methane budget P. Palmer et al. 10.1098/rsta.2021.0106
- Using Orbiting Carbon Observatory-2 (OCO-2) column CO2 retrievals to rapidly detect and estimate biospheric surface carbon flux anomalies A. Feldman et al. 10.5194/acp-23-1545-2023
- Satellite observations of atmospheric methane and their value for quantifying methane emissions D. Jacob et al. 10.5194/acp-16-14371-2016
- How important is biomass burning in Canada to mercury contamination? A. Fraser et al. 10.5194/acp-18-7263-2018
- Consistent regional fluxes of CH4 and CO2 inferred from GOSAT proxy XCH4 : XCO2 retrievals, 2010–2014 L. Feng et al. 10.5194/acp-17-4781-2017
- 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
- Assessing 5 years of GOSAT Proxy XCH4 data and associated uncertainties R. Parker et al. 10.5194/amt-8-4785-2015
- Challenges Regionalizing Methane Emissions Using Aquatic Environments in the Amazon Basin as Examples J. Melack et al. 10.3389/fenvs.2022.866082
- Methane and carbon dioxide emissions from different ecosystems at the end of dry period in South Vietnam J. Dušek et al. 10.1007/s42965-020-00118-1
- CH4 concentrations over the Amazon from GOSAT consistent with in situ vertical profile data A. Webb et al. 10.1002/2016JD025263
- Evaluating year-to-year anomalies in tropical wetland methane emissions using satellite CH4 observations R. Parker et al. 10.1016/j.rse.2018.02.011
- On the use of satellite-derived CH4 : CO2 columns in a joint inversion of CH4 and CO2 fluxes S. Pandey et al. 10.5194/acp-15-8615-2015
- 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
- Decadal Methane Emission Trend Inferred from Proxy GOSAT XCH4 Retrievals: Impacts of Transport Model Spatial Resolution S. Zhu et al. 10.1007/s00376-022-1434-6
- Numerical experiments with real data for estimating greenhouse gas fluxes in a region M. Platonova & E. Klimova 10.33764/2618-981X-2022-4-132-137
- Inverse modeling of GOSAT-retrieved ratios of total column CH4 and CO2 for 2009 and 2010 S. Pandey et al. 10.5194/acp-16-5043-2016
- Atmospheric CH4 and CO2 enhancements and biomass burning emission ratios derived from satellite observations of the 2015 Indonesian fire plumes R. Parker et al. 10.5194/acp-16-10111-2016
- Tropical methane emissions explain large fraction of recent changes in global atmospheric methane growth rate L. Feng et al. 10.1038/s41467-022-28989-z
- Application of the ensemble Kalman filter to environmental data assimilation E. Klimova 10.1088/1755-1315/211/1/012049
- Methane emissions are predominantly responsible for record-breaking atmospheric methane growth rates in 2020 and 2021 L. Feng et al. 10.5194/acp-23-4863-2023
- Monitoring global tropospheric OH concentrations using satellite observations of atmospheric methane Y. Zhang et al. 10.5194/acp-18-15959-2018
- Estimates of European uptake of CO2 inferred from GOSAT XCO2 retrievals: sensitivity to measurement bias inside and outside Europe L. Feng et al. 10.5194/acp-16-1289-2016
- Atmospheric data support a multi-decadal shift in the global methane budget towards natural tropical emissions A. Drinkwater et al. 10.5194/acp-23-8429-2023
- Bias Correction of the Ratio of Total Column CH4 to CO2 Retrieved from GOSAT Spectra H. Oshio et al. 10.3390/rs12193155
- A decade of GOSAT Proxy satellite CH4 observations R. Parker et al. 10.5194/essd-12-3383-2020
- Evaluation of column-averaged methane in models and TCCON with a focus on the stratosphere A. Ostler et al. 10.5194/amt-9-4843-2016
- Application of Ensemble Kalman Smoothing in Inverse Modeling of Advection and Diffusion E. Klimova 10.1134/S1995423924030030
28 citations as recorded by crossref.
- 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
- The added value of satellite observations of methane forunderstanding the contemporary methane budget P. Palmer et al. 10.1098/rsta.2021.0106
- Using Orbiting Carbon Observatory-2 (OCO-2) column CO2 retrievals to rapidly detect and estimate biospheric surface carbon flux anomalies A. Feldman et al. 10.5194/acp-23-1545-2023
- Satellite observations of atmospheric methane and their value for quantifying methane emissions D. Jacob et al. 10.5194/acp-16-14371-2016
- How important is biomass burning in Canada to mercury contamination? A. Fraser et al. 10.5194/acp-18-7263-2018
- Consistent regional fluxes of CH4 and CO2 inferred from GOSAT proxy XCH4 : XCO2 retrievals, 2010–2014 L. Feng et al. 10.5194/acp-17-4781-2017
- 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
- Assessing 5 years of GOSAT Proxy XCH4 data and associated uncertainties R. Parker et al. 10.5194/amt-8-4785-2015
- Challenges Regionalizing Methane Emissions Using Aquatic Environments in the Amazon Basin as Examples J. Melack et al. 10.3389/fenvs.2022.866082
- Methane and carbon dioxide emissions from different ecosystems at the end of dry period in South Vietnam J. Dušek et al. 10.1007/s42965-020-00118-1
- CH4 concentrations over the Amazon from GOSAT consistent with in situ vertical profile data A. Webb et al. 10.1002/2016JD025263
- Evaluating year-to-year anomalies in tropical wetland methane emissions using satellite CH4 observations R. Parker et al. 10.1016/j.rse.2018.02.011
- On the use of satellite-derived CH4 : CO2 columns in a joint inversion of CH4 and CO2 fluxes S. Pandey et al. 10.5194/acp-15-8615-2015
- 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
- Decadal Methane Emission Trend Inferred from Proxy GOSAT XCH4 Retrievals: Impacts of Transport Model Spatial Resolution S. Zhu et al. 10.1007/s00376-022-1434-6
- Numerical experiments with real data for estimating greenhouse gas fluxes in a region M. Platonova & E. Klimova 10.33764/2618-981X-2022-4-132-137
- Inverse modeling of GOSAT-retrieved ratios of total column CH4 and CO2 for 2009 and 2010 S. Pandey et al. 10.5194/acp-16-5043-2016
- Atmospheric CH4 and CO2 enhancements and biomass burning emission ratios derived from satellite observations of the 2015 Indonesian fire plumes R. Parker et al. 10.5194/acp-16-10111-2016
- Tropical methane emissions explain large fraction of recent changes in global atmospheric methane growth rate L. Feng et al. 10.1038/s41467-022-28989-z
- Application of the ensemble Kalman filter to environmental data assimilation E. Klimova 10.1088/1755-1315/211/1/012049
- Methane emissions are predominantly responsible for record-breaking atmospheric methane growth rates in 2020 and 2021 L. Feng et al. 10.5194/acp-23-4863-2023
- Monitoring global tropospheric OH concentrations using satellite observations of atmospheric methane Y. Zhang et al. 10.5194/acp-18-15959-2018
- Estimates of European uptake of CO2 inferred from GOSAT XCO2 retrievals: sensitivity to measurement bias inside and outside Europe L. Feng et al. 10.5194/acp-16-1289-2016
- Atmospheric data support a multi-decadal shift in the global methane budget towards natural tropical emissions A. Drinkwater et al. 10.5194/acp-23-8429-2023
- Bias Correction of the Ratio of Total Column CH4 to CO2 Retrieved from GOSAT Spectra H. Oshio et al. 10.3390/rs12193155
- A decade of GOSAT Proxy satellite CH4 observations R. Parker et al. 10.5194/essd-12-3383-2020
- Evaluation of column-averaged methane in models and TCCON with a focus on the stratosphere A. Ostler et al. 10.5194/amt-9-4843-2016
- Application of Ensemble Kalman Smoothing in Inverse Modeling of Advection and Diffusion E. Klimova 10.1134/S1995423924030030
Saved (final revised paper)
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Latest update: 02 Apr 2025
Short summary
Satellite measurements of CO2 and CH4 can be subject to regional systematic errors that can consequently compromise their ability to infer robust flux estimates of these two gases. We develop a method to use retrieved ratios of CH4 and CO2 that are less affected by systematic error. We show that additional in situ data are needed to anchor these observed ratios so they can simultaneously infer fluxes of CO2 and CH4. We argue the ratio data will provide a more faithful description of true fluxes.
Satellite measurements of CO2 and CH4 can be subject to regional systematic errors that can...
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