Causal mechanisms of subpolar gyre variability in CMIP6 models
This study used causal inference to investigate how well CMIP6 climate models represent the mechanisms of subpolar gyre variability and potential tipping points in the North Atlantic. While basic links between surface conditions and deep convection are generally captured, key feedback loops involving subsurface temperature, ocean density, and gyre strength often show inconsistent or even contradictory signs across models, or are completely absent. Crucially, models that do capture more of the proposed mechanisms are also the ones that predict abrupt shifts in the subpolar gyre.