The Atlantic meridional overturning circulation (AMOC) plays an important role in Earth's climate because it transports a vast amount of heat northwards and carries colder and denser deep waters to the South (e.g., Kostov et al., 2014). Strengthened AMOC leads to convergence of ocean heat transport in the subpolar North Atlantic (SPNA), driving low-frequency temperature anomalies in the North Atlantic (Wills et al., 2019). A realistic initialization of AMOC has been identified as an important factor for decadal climate prediction skill in the North Atlantic, and credible predictions of AMOC-related variability at decadal time scales have offered the potential to extend the time horizon of North Atlantic sea-surface temperature (SST) predictions (e.g., Karspeck et al., 2017;Yeager & Robson, 2017;S. Yeager et al., 2012 and the related references therein).However, the question of how to initialize AMOC-related decadal variability in the deep ocean in coupled prediction models remains a challenging one. Compared to seasonal climate prediction that relies on ocean memory in upper ocean heat content, a realistic initialization of AMOC for decadal climate prediction requires long and sustained deep ocean observations that are lacking. Therefore, the practice of using ocean data assimilation