Constraining CMIP6 simulations for Atlantic Water in the Arctic using an AMOC-SST index

This study aims to improve the representation of the #AtlanticWater layer in the Arctic Ocean within #CMIP6 climate model simulations. This is crucial because Atlantic Water inflow significantly influences #Arctic climate change, yet current models show large biases and uncertainty. By selecting model ensemble members that better match observed variability in the subpolar North Atlantic, this work seeks to constrain projections of Arctic #Atlantification. This approach could enhance the reliability of future Arctic climate predictions.