Continuous data assimilation closure for modeling statistically steady turbulence in large-eddy simulation

A closure model is presented for large-eddy simulation (LES) based on the three-dimensional variational data assimilation algorithm. The approach aims at reconstructing high-fidelity kinetic energy spectra in coarse numerical simulations by including feedback control to represent unresolved dynamics interactions in the flow as stochastic processes. The forcing uses statistics obtained from offline high-fidelity data and requires only a few parameters compared to the number of degrees of freedom of LES. This modeling strategy is applied to geostrophic turbulence on the sphere and enables simulating indefinitely at reduced cost. The method accurately recovers the energy spectra and the zonal velocity profiles in the coarse model for three generic situations.

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Publication Details

Journal
Physical Review Fluids
Published
2025-01-16
DOI
https://doi.org/10.1103/physrevfluids.10.013801
Citations
3
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
3.90

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article

Continuous data assimilation closure for modeling statistically steady turbulence in large-eddy simulation

Arnout Franken, Paolo Cifani, Sagy Ephrati, Erwin Luesink et al.
3 citations
Physical Review Fluids
Meteorological Phenomena and Simulations
3.90
article

Continuous data assimilation closure for modeling statistically steady turbulence in large-eddy simulation

Arnout Franken, Paolo Cifani, Sagy Ephrati, Erwin Luesink, Bernard J. Geurts
article en
3 citations

Abstract

A closure model is presented for large-eddy simulation (LES) based on the three-dimensional variational data assimilation algorithm. The approach aims at reconstructing high-fidelity kinetic energy spectra in coarse numerical simulations by including feedback control to represent unresolved dynamics interactions in the flow as stochastic processes. The forcing uses statistics obtained from offline high-fidelity data and requires only a few parameters compared to the number of degrees of freedom of LES. This modeling strategy is applied to geostrophic turbulence on the sphere and enables simulating indefinitely at reduced cost. The method accurately recovers the energy spectra and the zonal velocity profiles in the coarse model for three generic situations.

Physical Review FluidsVol. 10(1)
Chalmers University of Technology (SE), Eindhoven University of Technology (NL), University of Gothenburg (SE), University of Twente (NL)
National Science Foundation, Imperial College London, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Vetenskapsrådet
Openalex Percentile: Top 9%
Meteorological Phenomena and Simulations
3.90
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Continuous data assimilation closure for modeling statistically steady turbulence in large-eddy simulation — Arnout Franken, Paolo Cifani, et al. · Physical Review Fluids (2025) | TGRS Research Map | TGRS