mlsanityData to 14 Oct 2026

Topological Analysis of Ensembles of Hydrodynamic Turbulent Flows -- An Experimental Study

arXiv 2207.14080 ↗First posted 28 Jul 2022physics.flu-dyn cs.CG cs.CVcited by 11

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Abstract (arXiv)

This application paper presents a comprehensive experimental evaluation of the suitability of Topological Data Analysis (TDA) for the quantitative comparison of turbulent flows. Specifically, our study documents the usage of the persistence diagram of the maxima of flow enstrophy (an established vorticity indicator), for the topological representation of 180 ensemble members, generated by a coarse sampling of the parameter space of five numerical solvers. We document five main hypotheses reported by domain experts, describing their expectations regarding the variability of the flows generated by the distinct solver configurations. We contribute three evaluation protocols to assess the validation of the above hypotheses by two comparison measures: (i) a standard distance used in scientific imaging (the L2 norm) and (ii) an established topological distance between persistence diagrams (the L2-Wasserstein metric). Extensive experiments on the input ensemble demonstrate the superiority of the topological distance (ii) to report as close to each other flows which are expected to be similar by domain experts, due to the configuration of their vortices. Overall, the insights reported by our study bring an experimental evidence of the suitability of TDA for representing and comparing turbulent flows, thereby providing to the fluid dynamics community confidence for its usage in future work. Also, our flow data and evaluation protocols provide to the TDA community an application-approved benchmark for the evaluation and design of further topological distances.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 12 of its 115 references that are in the map. First posted on arXiv 28 Jul 2022.

Builds on

12 of 115 references.

References · 12

  1. 2016Geometry Helps to Compare Persistence Diagramscited by 39
  2. 2018The Topology ToolKitcited by 39
  3. 2018Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transportcited by 32
  4. 2021Wasserstein Distances, Geodesics and Barycenters of Merge Treescited by 16
  5. 2019Task-based Augmented Contour Trees with Fibonacci Heapscited by 15
  6. 2019Progressive Wasserstein Barycenters of Persistence Diagramscited by 15
  7. 2021Scalar Field Comparison with Topological Descriptors: Properties and Applications for Scientific Visualizationcited by 14
  8. 2013Distributed computation of persistent homologycited by 12
  9. 2018Persistence Atlas for Critical Point Variability in Ensemblescited by 11
  10. 2019Uncertainty Visualization of 2D Morse Complex Ensembles Using Statistical Summary Mapscited by 10
  11. 2019A Structural Average of Labeled Merge Trees for Uncertainty Visualizationcited by 8
  12. 2022Edit Distance between Merge Treescited by 8

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 3; 2024: 2; 2025: 4; 2026: 2.

11 papers.