{
  "annotation_id": "58202b45-5063-4576-bce6-8eb019c3228e",
  "date_created": "2026-03-02T18:00:45.966000Z",
  "date_modified": "2026-03-02T18:00:45.966000Z",
  "file_hash": "483de51bfd1ccbb4afe0dc3e62a5930aae44ff13d99857484e16836aec5778f1",
  "private": false,
  "record": {
    "abstract": "Aggregation of ice crystals is a key process governing precipitation.\nIndividual ice crystals exhibit considerable diversity of shape, and a wide\nrange of physical processes could influence their aggregation; despite this we\nshow that a simple computer model captures key features of aggregate shape and\nsize distribution reported recently from Cirrus clouds. The results prompt a\nnew way to plot the experimental size distributions leading to remarkably good\ndynamical scaling. That scaling independently confirms that there is a single\ndominant aggregation mechanism at play, albeit our model (based on undeflected\ntrajectories to contact) does not capture its form exactly.",
    "arxiv_id": "physics/0310164",
    "authors": [
      "C. D. Westbrook",
      "R. C. Ball",
      "P. R. Field",
      "A. J. Heymsfield"
    ],
    "categories": [
      "physics.ao-ph"
    ],
    "doi": "10.1029/2004GL020363",
    "title": "Universality in snowflake aggregation",
    "url": "https://arxiv.org/abs/physics/0310164"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "9aa910a9-9282-40e9-9e5b-332976ea3b14",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}