{
  "annotation_id": "398e7874-1f63-4cb4-a1f9-003401f6a1c2",
  "date_created": "2026-03-02T18:01:07.271000Z",
  "date_modified": "2026-03-02T18:01:07.271000Z",
  "file_hash": "e310e6e8e92ed905ebcf301b8fc588bfd24205496c11e3f1521e021ef4c92739",
  "private": false,
  "record": {
    "abstract": "The effect of large scales on the statistics and dynamics of turbulent\nfluctuations is studied using data from high resolution direct numerical\nsimulations. Three different kinds of forcing, and spatial resolutions ranging\nfrom 256^3 to 1024^3, are being used. The study is carried out by investigating\nthe nonlinear triadic interactions in Fourier space, transfer functions,\nstructure functions, and probability density functions. Our results show that\nthe large scale flow plays an important role in the development and the\nstatistical properties of the small scale turbulence. The role of helicity is\nalso investigated. We discuss the link between these findings and\nintermittency, deviations from universality, and possible origins of the\nbottleneck effect. Finally, we briefly describe the consequences of our results\nfor the subgrid modeling of turbulent flows.",
    "arxiv_id": "physics/0602148",
    "authors": [
      "P. D. Mininni",
      "A. Alexakis",
      "A. Pouquet"
    ],
    "categories": [
      "physics.flu-dyn"
    ],
    "doi": "10.1103/PhysRevE.74.016303",
    "title": "Large scale flow effects, energy transfer, and self-similarity on   turbulence",
    "url": "https://arxiv.org/abs/physics/0602148"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "bb2ddc86-684d-4f08-8d00-fcfba7404900",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}