TURB-Lagr. A database of 3d Lagrangian trajectories in homogeneous and isotropic turbulence

Fuente: arXiv
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Main Authors: Biferale, Luca, Bonaccorso, Fabio, Buzzicotti, Michele, Calascibetta, Chiara
Format: Preprint
Published: 2023
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author Biferale, Luca
Bonaccorso, Fabio
Buzzicotti, Michele
Calascibetta, Chiara
author_facet Biferale, Luca
Bonaccorso, Fabio
Buzzicotti, Michele
Calascibetta, Chiara
contents We present TURB-Lagr, a new open database of 3d turbulent Lagrangian trajectories, obtained by Direct Numerical Simulations (DNS) of the original Navier-Stokes equations in the presence of a homogeneous and isotropic forcing. The aim is to provide the community interested in data-assimilation and/or Lagrangian-properties of turbulence a new testing-ground made of roughly 300K different Lagrangian trajectories. TURB-Lagr data are influenced by the strong non-Gaussian fluctuations characteristic of turbulence and by the rough and non differentiable fields. In addition, coming from fully resolved numerical simulations of the original partial differential equations, they offer the possibility to apply a wide range of approaches, from equation-free to physics-based models. TURB-Lagr data are reachable at http://smart-turb.roma2.infn.it
format Preprint
id arxiv_https___arxiv_org_abs_2303_08662
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle TURB-Lagr. A database of 3d Lagrangian trajectories in homogeneous and isotropic turbulence
Biferale, Luca
Bonaccorso, Fabio
Buzzicotti, Michele
Calascibetta, Chiara
Fluid Dynamics
Chaotic Dynamics
Computational Physics
We present TURB-Lagr, a new open database of 3d turbulent Lagrangian trajectories, obtained by Direct Numerical Simulations (DNS) of the original Navier-Stokes equations in the presence of a homogeneous and isotropic forcing. The aim is to provide the community interested in data-assimilation and/or Lagrangian-properties of turbulence a new testing-ground made of roughly 300K different Lagrangian trajectories. TURB-Lagr data are influenced by the strong non-Gaussian fluctuations characteristic of turbulence and by the rough and non differentiable fields. In addition, coming from fully resolved numerical simulations of the original partial differential equations, they offer the possibility to apply a wide range of approaches, from equation-free to physics-based models. TURB-Lagr data are reachable at http://smart-turb.roma2.infn.it
title TURB-Lagr. A database of 3d Lagrangian trajectories in homogeneous and isotropic turbulence
topic Fluid Dynamics
Chaotic Dynamics
Computational Physics
url https://arxiv.org/abs/2303.08662