{
  "annotation_id": "637bb14f-d4fd-4575-b864-339c5a2c34ea",
  "date_created": "2026-03-02T18:00:46.954000Z",
  "date_modified": "2026-03-02T18:00:46.954000Z",
  "file_hash": "930167db772f80244ca583ebb3d8b7df088ed6f2b2b0be763f2ae697d2f28a66",
  "private": false,
  "record": {
    "abstract": "Within the framework of random multiplicative energy cascade models of fully\ndeveloped turbulence, expressions for two-point correlators and cumulants are\nderived, taking into account a proper conversion from an ultrametric to an\nEuclidean two-point distance. The comparison with two-point statistics of the\nsurrogate energy dissipation, extracted from various wind tunnel and\natmospheric boundary layer records, allows an accurate deduction of\nmultiscaling exponents and cumulants. These exponents serve as the input for\nparametric estimates of the probabilistic cascade generator.",
    "arxiv_id": "physics/0312113",
    "authors": [
      "J. Cleve",
      "T. Dziekan",
      "J. Schmiegel",
      "O. E. Barndorff-Nielsen",
      "B. R. Pearson",
      "K. R. Sreenivasan",
      "M. Greiner"
    ],
    "categories": [
      "physics.flu-dyn",
      "cond-mat"
    ],
    "title": "Data-driven derivation of the turbulent energy cascade generator",
    "url": "https://arxiv.org/abs/physics/0312113"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "912edd03-eb52-41f6-a0a9-1ae58654ede3",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}