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20202026
most citedAn efficient geometric method for incompressible hydrodynamics on the sphere

21 citations · 67 across the 13 of their papers we have counts for

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8 papers · 1 filter

physics.flu-dyn2023

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

Sagy Ephrati, Arnout Franken, Erwin Luesink +2

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-fideli…

physics.flu-dyn2023

Zeitlin truncation of a Shallow Water Quasi-Geostrophic model for planetary flow

Arnout Franken, Martino Caliaro, Paolo Cifani +1

In this work, we consider a Shallow-Water Quasi Geostrophic equation on the sphere, as a model for global large-scale atmospheric dynamics. This equation, previously studied by Ver…

physics.flu-dyn2023★ 7 cited

Data-driven spectral turbulence modeling for Rayleigh-Bénard convection

Sagy Ephrati, Paolo Cifani, Bernard Geurts

A data-driven turbulence model for coarse-grained numerical simulations of two-dimensional Rayleigh-Bénard convection is proposed. The model starts from high-fidelity data and is b…

physics.flu-dyn2023★ 1 cited

Data-driven stochastic spectral modeling for coarsening of the two-dimensional Euler equations on the sphere

Sagy Ephrati, Paolo Cifani, Milo Viviani +1

A resolution-independent data-driven stochastic parametrization method for subgrid-scale processes in coarsened fluid descriptions is proposed. The method enables the inclusion of…

physics.flu-dyn2022★ 16 cited

Casimir preserving spectrum of two-dimensional turbulence

Paolo Cifani, Milo Viviani, Erwin Luesink +2

We present predictions of the energy spectrum of forced two-dimensional turbulence obtained by employing a structure-preserving integrator. In particular, we construct a finite-mod…

physics.flu-dyn2022★ 16 cited

Data-driven stochastic Lie transport modelling of the 2D Euler equations

Sagy Ephrati, Paolo Cifani, Erwin Luesink +1

In this paper, we propose and assess several stochastic parametrizations for data-driven modelling of the two-dimensional Euler equations using coarse-grid SPDEs. The framework of…

physics.flu-dyn2021

Computational modeling for high-fidelity coarsening of shallow water equations based on subgrid data

Sagy Ephrati, Erwin Luesink, Golo Wimmer +2

Small-scale features of shallow water flow obtained from direct numerical simulation (DNS) with two different computational codes for the shallow water equations are gathered offli…

physics.flu-dyn2020★ 6 cited

Mixed modeling for large-eddy simulation: The single-layer and two-layer minimum-dissipation-Bardina models

L. B. Streher, M. H. Silvis, P. Cifani +1

Predicting the behavior of turbulent flows using large-eddy simulation requires modeling of the subgrid-scale stress tensor. This tensor can be approximated using mixed models, whi…