{
  "annotation_id": "51b14d2c-ba30-4835-ab59-4a134afb2cca",
  "date_created": "2026-03-02T18:00:45.960000Z",
  "date_modified": "2026-03-02T18:00:45.960000Z",
  "file_hash": "205c63556920c18af5db98c6390b6a91386eecf407fb6a4ac60c0a964b3aa9b4",
  "private": false,
  "record": {
    "abstract": "Fractal Interpolation has been proposed in the literature as an efficient way\nto construct closure models for the numerical solution of coarse-grained\nNavier-Stokes equations. It is based on synthetically generating a\nscale-invariant subgrid-scale field and analytically evaluating its effects on\nlarge resolved scales. In this paper, we propose an extension of previous work\nby developing a multiaffine fractal interpolation scheme and demonstrate that\nit preserves not only the fractal dimension but also the higher-order structure\nfunctions and the non-Gaussian probability density function of the velocity\nincrements. Extensive a-priori analyses of atmospheric boundary layer\nmeasurements further reveal that this Multiaffine closure model has the\npotential for satisfactory performance in large-eddy simulations. The\npertinence of this newly proposed methodology in the case of passive scalars is\nalso discussed.",
    "arxiv_id": "physics/0310135",
    "authors": [
      "Sukanta Basu",
      "Efi Foufoula-Georgiou",
      "Fernando Port\u00e9-Agel"
    ],
    "categories": [
      "physics.flu-dyn",
      "nlin.CD"
    ],
    "doi": "10.1103/PhysRevE.70.026310",
    "title": "Synthetic Turbulence, Fractal Interpolation and Large-Eddy Simulation",
    "url": "https://arxiv.org/abs/physics/0310135"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "448ffbc1-87f9-471a-a1a4-92f2326e7ef5",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}