Synchronisation in two-dimensional damped-driven Navier–Stokes turbulence: insights from data assimilation and Lyapunov analysis

In Navier–Stokes (NS) turbulence, large-scale turbulent flows inevitably determine small-scale flows. Previous studies using data assimilation with the three-dimensional (3-D) NS equations indicate that employing observational data resolved down to a specific length scale, $\ell ^{\rm 3\text{-}D}_{\ast }$ , enables the successful reconstruction of small-scale flows. Such a length scale of ‘essential resolution of observation’ for reconstruction $\ell ^{\rm 3\text{-}D}_{\ast }$ is close to the dissipation scale in three-dimensional NS turbulence. Here, we study the equivalent length scale in two-dimensional (2-D) NS turbulence, $\ell ^{\rm 2\text{-}D}_{\ast }$ , and compare with the three-dimensional case. Our numerical studies using data assimilation and conditional Lyapunov exponents reveal that, for Kolmogorov flows with Ekman drag, the length scale $\ell ^{\rm 2\text{-}D}_{\ast }$ is actually close to the forcing scale, substantially larger than the dissipation scale. Furthermore, we discuss the origin of the significant relative difference between the length scales, $\ell ^{\rm 2\text{-}D}_{\ast }$ and $\ell ^{\rm 3\text{-}D}_{\ast }$ , based on inter-scale interactions, ‘cascades’ and orbital instabilities in turbulence dynamics.

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Publication Details

Journal
Journal of Fluid Mechanics
Published
2026-01-22
DOI
https://doi.org/10.1017/jfm.2025.11057
Primary Topic
Fluid Dynamics and Turbulent Flows
Type
article
Field-Weighted Citation Impact
0.00

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article

Synchronisation in two-dimensional damped-driven Navier–Stokes turbulence: insights from data assimilation and Lyapunov analysis

Masanobu Inubushi, C. P. Caulfield
Journal of Fluid Mechanics
Fluid Dynamics and Turbulent Flows
article

Synchronisation in two-dimensional damped-driven Navier–Stokes turbulence: insights from data assimilation and Lyapunov analysis

Masanobu Inubushi, C. P. Caulfield
article en

Abstract

In Navier–Stokes (NS) turbulence, large-scale turbulent flows inevitably determine small-scale flows. Previous studies using data assimilation with the three-dimensional (3-D) NS equations indicate that employing observational data resolved down to a specific length scale, $\ell ^{\rm 3\text{-}D}_{\ast }$ , enables the successful reconstruction of small-scale flows. Such a length scale of ‘essential resolution of observation’ for reconstruction $\ell ^{\rm 3\text{-}D}_{\ast }$ is close to the dissipation scale in three-dimensional NS turbulence. Here, we study the equivalent length scale in two-dimensional (2-D) NS turbulence, $\ell ^{\rm 2\text{-}D}_{\ast }$ , and compare with the three-dimensional case. Our numerical studies using data assimilation and conditional Lyapunov exponents reveal that, for Kolmogorov flows with Ekman drag, the length scale $\ell ^{\rm 2\text{-}D}_{\ast }$ is actually close to the forcing scale, substantially larger than the dissipation scale. Furthermore, we discuss the origin of the significant relative difference between the length scales, $\ell ^{\rm 2\text{-}D}_{\ast }$ and $\ell ^{\rm 3\text{-}D}_{\ast }$ , based on inter-scale interactions, ‘cascades’ and orbital instabilities in turbulence dynamics.

Journal of Fluid MechanicsVol. 1027
Tokyo University of Science (JP), University of Cambridge (GB)
Japan Society for the Promotion of Science, Japan Aerospace Exploration Agency, Division of Mathematical Sciences
Openalex Percentile: Top 81%
Fluid Dynamics and Turbulent Flows
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