This paper explores various sources of error in atmospheric CO2 synthesis inversions using global circulation models. The estimation of prior, observation, model transport, and representation errors is described, and the latter two error sources are explored in more detail. Not accounting for these errors will act as a hard constraint on the inversion and will produce incorrect solutions to the problem as is shown in some example inversions. The magnitude of these errors falls generally between about 10% and 100% in the retrieved fluxes but can be even larger. This makes it highly desirable to avoid hard constraints and apply any prior information we have about the surface fluxes as a weak constraint to the inversion problem
Abstract. Estimates of CO2 fluxes that are based on atmospheric data rely upon a meteorological mode...
Estimates of CO<sub>2</sub> fluxes that are based on atmospheric measurements rely upon a meteorolog...
Abstract Computational requirements often impose limitations on the spatial and temporal resolutions...
[1] This paper explores various sources of error in atmospheric CO2 synthesis inversions using globa...
International audienceThe inversion of atmospheric transport of CO 2 may potentially be a means for ...
The inversion of atmospheric transport of CO2 may potentially be a means for monitoring compliance w...
International audienceNational annual inventories of CO2 emitted during fossil fuel consumption (FFC...
International audience[1] Statistical modeling is at the root of CO 2 atmospheric inversion systems,...
Atmospheric CO2 inversion using coarse-resolution transport model can cause large errors on surface ...
We adapt general statistical methods to estimate the optimal error covariance matrices in a regional...
National annual inventories of CO2 emitted during fossil fuel consumption (FFCO2) bear 5-10% uncerta...
Inverse modeling of CO2 satellite observations to better quantify carbon surface fluxes requires a f...
This paper explores the consequences of resolution of surface fluxes on synthesis inversions of carb...
International audienceSurface-atmosphere exchange fluxes of CO2, estimated by an interannual atmosph...
The global distribution of carbon sources and sinks is estimated from atmospheric CO2 measurements u...
Abstract. Estimates of CO2 fluxes that are based on atmospheric data rely upon a meteorological mode...
Estimates of CO<sub>2</sub> fluxes that are based on atmospheric measurements rely upon a meteorolog...
Abstract Computational requirements often impose limitations on the spatial and temporal resolutions...
[1] This paper explores various sources of error in atmospheric CO2 synthesis inversions using globa...
International audienceThe inversion of atmospheric transport of CO 2 may potentially be a means for ...
The inversion of atmospheric transport of CO2 may potentially be a means for monitoring compliance w...
International audienceNational annual inventories of CO2 emitted during fossil fuel consumption (FFC...
International audience[1] Statistical modeling is at the root of CO 2 atmospheric inversion systems,...
Atmospheric CO2 inversion using coarse-resolution transport model can cause large errors on surface ...
We adapt general statistical methods to estimate the optimal error covariance matrices in a regional...
National annual inventories of CO2 emitted during fossil fuel consumption (FFCO2) bear 5-10% uncerta...
Inverse modeling of CO2 satellite observations to better quantify carbon surface fluxes requires a f...
This paper explores the consequences of resolution of surface fluxes on synthesis inversions of carb...
International audienceSurface-atmosphere exchange fluxes of CO2, estimated by an interannual atmosph...
The global distribution of carbon sources and sinks is estimated from atmospheric CO2 measurements u...
Abstract. Estimates of CO2 fluxes that are based on atmospheric data rely upon a meteorological mode...
Estimates of CO<sub>2</sub> fluxes that are based on atmospheric measurements rely upon a meteorolog...
Abstract Computational requirements often impose limitations on the spatial and temporal resolutions...