Unveiling North Atlantic Deep Water pathways using nonlinear dynamics techniques
Abstract:
Using surface trajectory data from the Global Drifter Program, along with deep trajectory data from the Argo Program, WOCE Subsurface Float Data Assembly Center, and OSNAP (Overturning in the Subpolar North Atlantic Program), a Markov-chain model representation of the surface and deep water dynamics in the North Atlantic is constructed. From a spectral analysis of its associated discrete transfer operator, we construct a quasi 3D Lagrangian geography formed by basins of attraction for time-asymptotic almost-invariant attracting sets. This enables an assessment of long-term fate of surface and deep waters as well as sources of deep water production. We also investigate preferred pathways of North Atlantic Deep Water using tools from transition path theory built on the constructed Markov chain.