How sensitive are Lagrangian coherent structures to uncertainties in data?
type: Item
instance of: scholarly article
title: How sensitive are Lagrangian coherent structures to uncertainties in data?
zbMATH Open document ID: 1503.37090
author: Aleksandar Badza
author: Trent W. Mattner
author: Sanjeeva Balasuriya
published in: Physica D
publication date: 2023-01-17T00:00:00Z
Mathematics Subject Classification ID: 37N10
Mathematics Subject Classification ID: 76D17
Mathematics Subject Classification ID: 86A05
Mathematics Subject Classification ID: 37C30
Mathematics Subject Classification ID: 76D05
Mathematics Subject Classification ID: 76F65
Mathematics Subject Classification ID: 37B55
zbMATH DE Number: 7642850
zbMATH Keywords: Lagrangian coherent structures
zbMATH Keywords: jets
zbMATH Keywords: vortices
zbMATH Keywords: uncertainty quantification
MaRDI profile type: Publication
full work available at URL: j.physd.2022.133580
OpenAlex ID: W4308798433
cites work: A critical comparison of Lagrangian methods for coherent structure detection
cites work: Generalized Lagrangian coherent structures
cites work: How well-connected is the surface of the global ocean?
cites work: Definition and properties of Lagrangian coherent structures from finite-time Lyapunov exponents in two-dimensional aperiodic flows
cites work: Computing Lagrangian coherent structures from their variational theory
cites work: Defining coherent vortices objectively from the vorticity
cites work: Lagrangian descriptors: a method for revealing phase space structures of general time dependent dynamical systems
cites work: Stochastic Sensitivity: A Computable Lagrangian Uncertainty Measure for Unsteady Flows
cites work: Uncertainty in finite-time Lyapunov exponent computations
cites work: Transport in time-dependent dynamical systems: Finite-time coherent sets
cites work: Dynamic isoperimetry and the geometry of Lagrangian coherent structures
cites work: A dynamic Laplacian for identifying Lagrangian coherent structures on weighted Riemannian manifolds
cites work: A rough-and-ready cluster-based approach for extracting finite-time coherent sets from sparse and incomplete trajectory data
cites work: Coherent structure colouring: identification of coherent structures from sparse data using graph theory
cites work: Lagrangian Descriptors for Stochastic Differential Equations: A Tool for Revealing the Phase Portrait of Stochastic Dynamical Systems
cites work: Uncertainty estimation and prediction for interdisciplinary ocean dynamics
cites work: Sensitivity of Lagrangian coherent structure identification to flow field resolution and random errors
cites work: A variational theory of hyperbolic Lagrangian coherent structures
cites work: A bridge between invariant dynamical structures and uncertainty quantification
cites work: An analytic framework for identifying finite-time coherent sets in time-dependent dynamical systems
cites work: Convergence theory for fuzzy c-means: Counterexamples and repairs
cites work: Secondary instability of a temporally growing mixing layer
cites work: Two-dimensional Kelvin-Helmholtz instabilities of multi-component fluids
cites work: On reference solutions and the sensitivity of the 2D Kelvin-Helmholtz instability problem
cites work: Large-eddy simulations of turbulent mixing layers using the stretched-vortex model
cites work: Sparse eigenbasis approximation: multiple feature extraction across spatiotemporal scales with application to coherent set identification
cites work: Hyperbolic neighbourhoods as organizers of finite-time exponential stretching
DOI: 10.1016/J.PHYSD.2022.133580
description: scientific article; zbMATH DE number 7642850