21 citations · 67 across the 13 of their papers we have counts for
14 papers
Stochastic modeling of Fourier modes in two-dimensional turbulence via filtered white noise
Paolo Cifani, Franco Flandoli, Andrea Zanoni
Modeling turbulent flows by a random Fourier decomposition is a classical procedure in order to use simplified models of turbulence in heat transport and other applications. We inv…
Anomalous diffusion properties of stochastic transport by heavy-tailed jump processes
Paolo Cifani, Franco Flandoli, Lorenzo Marino
In this work, we investigate the large-scale transport properties of a passive scalar advected by a turbulent fluid, modelled as a superposition of divergence-free vector fields, e…
Symplectic Isospectral Runge--Kutta Methods as Lie group methods
Paolo Cifani, Klas Modin, Cecilia Pagliantini +1
We compare three approaches for structure preserving numerical integration of isospectral flows on quadratic Lie algebras. Such flows originate from Hamiltonian dynamics on the cot…
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…
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…
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…
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…
Sparse-stochastic model reduction for 2D Euler equations
Paolo Cifani, Sagy Ephrati, Milo Viviani
The 2D Euler equations are a simple but rich set of non-linear PDEs that describe the evolution of an ideal inviscid fluid, for which one dimension is negligible. Solving numerical…
An efficient geometric method for incompressible hydrodynamics on the sphere
Paolo Cifani, Milo Viviani, Klas Modin
We present an efficient and highly scalable geometric method for two-dimensional ideal fluid dynamics on the sphere. The starting point is Zeitlin's finite-dimensional model of hyd…
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…
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…
Casimir preserving stochastic Lie-Poisson integrators
Erwin Luesink, Sagy Ephrati, Paolo Cifani +1
Casimir preserving integrators for stochastic Lie-Poisson equations with Stratonovich noise are developed extending Runge-Kutta Munthe-Kaas methods. The underlying Lie-Poisson stru…
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…
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…