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aims to shed light on AMOC variability and change during the last two millennia by combining climate model simulations with proxy data, using particle filter data assimilation, and to link
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-reconstructions and observations, low-order data assimilation, or deep neural networks. A quantification of the impact of mesoscale and submesocale features is also expected. At a later stage, the successful
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development, contributing to several work packages (WPs) within the Urban Air Project. This includes investigating a hierarchical cascade of uncertainties arising from various models and assimilated data, which
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& data assimilation and / or incorporation of tracers into hydrological models would be advantageous. Access to high-performance computer clusters is available to facilitate use and development of “state