Atmospheric CO₂ inversions infer surface fluxes from concentration measurements, yet results vary widely across systems. Using ensemble simulations as well as variational theory, this study shows that the assumed spatial and temporal correlations of surface fluxes largely determine how observational information propagates. Transport shapes patterns, but prior correlations control scale and strength, explaining signal amplification, dilution, and flux misattribution.