About one-half of the global CO2 emissions from fossil fuel combustion and deforestation accumulates in the atmosphere, where it contributes to global warming. The rest is taken up by vegetation and the ocean. The precise contribution of the two sinks, and their location and year-to-year variability are, however, not well understood. We use two different approaches, batch Bayesian synthesis inversion and variational data assimilation, to deduce the global spatiotemporal distributions of CO2 fluxes during 2009-2010. One of our objectives is to assess different sources of uncertainties in inferred fluxes, including uncertainties in prior flux estimates and observations, and differences in inversion techniques. For prior constraints, we utiliz...
Models of atmospheric transport can be used to interpret spatiotemporal differences in the observed ...
Atmospheric inversion has recently become an important tool in estimating CO2 sinks and sources albe...
This paper documents a global Bayesian variational inversion of CO2 surface fluxes during the period...
The precise contribution of the two major sinks for anthropogenic CO2 emissions, terrestrial vegetat...
The precise contribution of the two major sinks for anthropogenic CO2 emissions, terrestrial vegeta...
International audienceWe evaluate the robustness and consistency of global and regional posterior CO...
We have examined the utility of retrieved column-averaged, dry-air mole fractions of CO2 (XCO2) from...
Using an Observing System Simulation Experiment (OSSE), we investigate the impact of JAXA Greenhouse...
Using an Observing System Simulation Experiment (OSSE), we investigate the impact of JAXA Greenhouse...
International audienceWe study an ensemble of six multi-year global Bayesian carbon dioxide (CO 2) a...
This study presents the outcome of an inverse modeling intercomparison experiment on the use of tota...
International audienceThis study presents the outcome of an inverse modeling intercomparison experim...
Atmospheric CO2 inversions estimate surface carbon fluxes from an optimal fit to atmospheric CO2 mea...
This study presents the outcome of an inverse modeling intercomparison experiment on the use of tota...
Atmospheric CO2 inversions estimate surface carbon fluxes from an optimal fit to atmospheric CO2 mea...
Models of atmospheric transport can be used to interpret spatiotemporal differences in the observed ...
Atmospheric inversion has recently become an important tool in estimating CO2 sinks and sources albe...
This paper documents a global Bayesian variational inversion of CO2 surface fluxes during the period...
The precise contribution of the two major sinks for anthropogenic CO2 emissions, terrestrial vegetat...
The precise contribution of the two major sinks for anthropogenic CO2 emissions, terrestrial vegeta...
International audienceWe evaluate the robustness and consistency of global and regional posterior CO...
We have examined the utility of retrieved column-averaged, dry-air mole fractions of CO2 (XCO2) from...
Using an Observing System Simulation Experiment (OSSE), we investigate the impact of JAXA Greenhouse...
Using an Observing System Simulation Experiment (OSSE), we investigate the impact of JAXA Greenhouse...
International audienceWe study an ensemble of six multi-year global Bayesian carbon dioxide (CO 2) a...
This study presents the outcome of an inverse modeling intercomparison experiment on the use of tota...
International audienceThis study presents the outcome of an inverse modeling intercomparison experim...
Atmospheric CO2 inversions estimate surface carbon fluxes from an optimal fit to atmospheric CO2 mea...
This study presents the outcome of an inverse modeling intercomparison experiment on the use of tota...
Atmospheric CO2 inversions estimate surface carbon fluxes from an optimal fit to atmospheric CO2 mea...
Models of atmospheric transport can be used to interpret spatiotemporal differences in the observed ...
Atmospheric inversion has recently become an important tool in estimating CO2 sinks and sources albe...
This paper documents a global Bayesian variational inversion of CO2 surface fluxes during the period...