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Go With the Flow, on Jupiter and Snow: Coherence from Model-Free Video Data Without Trajectories

Journal of Nonlinear Science, 30:2375–2404 2020

Authors: A. R. AlMomani and Erik Bollt

Introduces a method to extract coherent flow structures directly from video data without requiring particle trajectories or velocity field measurements. Using Koopman operator connections, the approach identifies organized transport patterns from pixel-level observations, demonstrated on Jupiter's atmospheric bands and snowfall dynamics.

Related Expertise

Complex Networks & Systems (Pillar 3)