# GraphCast: Learning skillful medium-range global weather forecasting

*Source* · `src-lam-2023-graphcast` · status: **n/a**

| field | value |
|---|---|
| kind | Peer-reviewed paper |
| authors | Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, et al., Peter Battaglia |
| venue | Science 382 (2023) |
| date | 2023-11-14 |
| url | https://arxiv.org/abs/2212.12794 |
| doi | 10.1126/science.adi2336 |
| arxiv | 2212.12794 |
| accessed | 2026-10-24 |
| notes | 0.25 degree global, 10-day forecasts in under one minute; better than the top operational deterministic system on 90% of 1,380 verification targets. |

## Backlinks (computed)

**cited by:** [Machine-learned weather forecasting](../technique/ml-weather-models.md)

## Citation

Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, et al., Peter Battaglia (2023-11-14). *GraphCast: Learning skillful medium-range global weather forecasting*. Science 382 (2023) https://arxiv.org/abs/2212.12794

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Provenance: created in run `2026-10-24-techniques-sim-math`.