Our paper (Shaojie Song et al., "Top-down constraints on atmospheric mercury emissions and implications for global biogeochemical cycling") was published in Atmospheric Chemistry and Physics. We perform edglobal-scale inverse modeling to constrain present-day atmospheric mercury emissions and relevant physiochemical parameters in the GEOS-Chem chemical transport model. We used Bayesian inversion methods combining simulations with GEOS-Chem and ground-based Hg0 observations from regional monitoring networks and individual sites in recent years. Based on our inversion results, we re-evaluated the long-term global biogeochemical cycle of mercury, and showed that legacy mercury becomes more likely to reside in the terrestrial ecosystem than in the ocean. We estimated that primary anthropogenic mercury contributes up to 23 % of present-day atmospheric deposition.