{
  "annotation_id": "ba7ea3a8-61b9-4de5-a08c-44bb06e2aef3",
  "date_created": "2026-03-02T18:01:03.488000Z",
  "date_modified": "2026-03-02T18:01:03.488000Z",
  "file_hash": "8638839a88be7cb0f187598cecf25d67c25f6ff0e0f7c25617e1a99ffcdde91b",
  "private": false,
  "record": {
    "abstract": "As part of a project to develop more accurate estimates of the risks due to\ntropical cyclones, we describe a non-parametric method for the statistical\nsimulation of the location of tropical cyclone genesis. The method avoids the\nuse of arbitrary grid boxes, and the spatial smoothing of the historical data\nis constructed optimally according to a clearly defined merit function.",
    "arxiv_id": "physics/0510203",
    "authors": [
      "Tim Hall",
      "Stephen Jewson"
    ],
    "categories": [
      "physics.ao-ph"
    ],
    "title": "Statistical modelling of tropical cyclone genesis: a non-parametric   model for the annual distribution",
    "url": "https://arxiv.org/abs/physics/0510203"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "fb85555a-eb5f-496b-b013-fb1fe034ac00",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}