2 sources and sinks from atmospheric concentrations at much higher time–space resolution than the ensemble or analytical ap'/>
On the parallelization of atmospheric inversions of CO<sub>2</sub> surface fluxes within a variational framework
The variational formulation of Bayes' theorem allows inferring CO2 sources and sinks from atmospheric concentrations at much higher time–space resolution than the ensemble or analytical approaches. However, it usually exhibits limited scalable
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