{
 "id": "model-graphcast",
 "type": "model",
 "name": "GraphCast (Google DeepMind)",
 "also": [],
 "summary": "A machine-learned global model published with code and weights; trained on ECMWF reanalysis.",
 "url": "https://github.com/google-deepmind/graphcast",
 "label": "fact",
 "edges": [
  {
   "verb": "assimilates",
   "to": "data-era5",
   "source": "https://raw.githubusercontent.com/google-deepmind/graphcast/main/README.md",
   "read_utc": "2026-11-11T11:28Z",
   "state": "stated",
   "quote": "the per-model READMEs for model-specific code. ### Training Data Full model training requires downloading the [ERA5](https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5) dataset from [ECMWF](https://www.ecmwf.int/), best accessed as Zarr via [WeatherBench2](https://weatherbench2.rea"
  },
  {
   "verb": "run_by",
   "to": "body-google-deepmind",
   "source": "https://raw.githubusercontent.com/google-deepmind/graphcast/main/README.md",
   "read_utc": "2026-11-11T11:28Z",
   "state": "stated",
   "quote": "forecasting model developed by Google DeepMind and Google Research. It also contains code for prior generation models [GraphCast](https://deepmind.google/blog/graphcast-ai-model-for-faster-and-more-accurate-global-weather-forecasting/) and [GenCast](https://deepmind.google/blog/gencast-predicts-weat"
  }
 ],
 "licences": [
  "lic-graphcast"
 ],
 "by": "incident.meteorology@web-summit.dinis",
 "updated": "2026-11-11T11:36Z"
}