Global Lagrangian Flow Networks
The global ocean is a complex dynamical system and its circulation regulates transport and mixing of matter, energy and living organisms across a broad range of scales.
The Lagrangian perspective represents a natural framework to characterize the pathways of transport in the ocean by following fluid particle trajectories.
In this work, we build and analyze Lagrangian Flow Networks at the global scale, highlighting emerging patterns that reflect the ocean circulation.
We then discuss the problem of achieving network saturation, since the investigation of long-term transport processes requires a very large number of particles.
To address this limitation, we introduce a methodology which is based on Markovian multiplication, but at the same time preserves the original magnitude of node diffusivity.
This approach extends the applicability of Lagrangian Flow Networks to longer time scales, improving the control over discretization-induced diffusivity.
This Annual PhD student seminar will be broadcasted in the following zoom link: https://us06web.zoom.us/j/89466064429?pwd=po9p99eAEYVPaNI8xIIGoOIz0hOqaF.1
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