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Analysis of tidal flows through the Strait of Gibraltar using Dynamic Mode Decomposition

arXiv 2311.01377 ↗First posted 2 Nov 2023math.DS physics.flu-dyn stat.MLcited by 0

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Abstract (arXiv)

The Strait of Gibraltar is a region characterized by intricate oceanic sub-mesoscale features, influenced by topography, tidal forces, instabilities, and nonlinear hydraulic processes, all governed by the nonlinear equations of fluid motion. In this study, we aim to uncover the underlying physics of these phenomena within 3D MIT general circulation model simulations, including waves, eddies, and gyres. To achieve this, we employ Dynamic Mode Decomposition (DMD) to break down simulation snapshots into Koopman modes, with distinct exponential growth/decay rates and oscillation frequencies. Our objectives encompass evaluating DMD's efficacy in capturing known features, unveiling new elements, ranking modes, and exploring order reduction. We also introduce modifications to enhance DMD's robustness, numerical accuracy, and robustness of eigenvalues. DMD analysis yields a comprehensive understanding of flow patterns, internal wave formation, and the dynamics of the Strait of Gibraltar, its meandering behaviors, and the formation of a secondary gyre, notably the Western Alboran Gyre, as well as the propagation of Kelvin and coastal-trapped waves along the African coast. In doing so, it significantly advances our comprehension of intricate oceanographic phenomena and underscores the immense utility of DMD as an analytical tool for such complex datasets, suggesting that DMD could serve as a valuable addition to the toolkit of oceanographers.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 59 references that are in the map. First posted on arXiv 2 Nov 2023.

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5 of 59 references.

References · 5

  1. 2021Modern Koopman Theory for Dynamical Systemscited by 276
  2. 2016Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive controlcited by 140
  3. 2017On Convergence of Extended Dynamic Mode Decomposition to the Koopman Operatorcited by 73
  4. 2019Geometric Considerations of a Good Dictionary for Koopman Analysis of Dynamical Systems: Cardinality, 'Primary Eigenfunction,' and Efficient Representationcited by 6
  5. 2021Randomized Projection Learning Method forDynamic Mode Decompositioncited by 2

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