{
  "@context": "https://schema.org",
  "@type": "article",
  "@id": "https://anchorfact.org/kb/ai-for-weather-forecasting",
  "headline": "AI for Weather Forecasting: Data-Driven Numerical Weather Prediction and Nowcasting",
  "description": "AI is revolutionizing weather forecasting -- models like GraphCast, Pangu-Weather, and FourCastNet can produce 10-day global forecasts in seconds that rival the accuracy of traditional supercomputer-based physics simulations that took hours. By 2025, the European Centre for Medium-Range Weather Forecasts is running AI forecasts operationally alongside classical models, marking the beginning of the data-driven weather prediction era.",
  "dateCreated": "2026-05-24T02:49:13.547Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "Learning skillful medium-range global weather forecasting (GraphCast)",
      "sameAs": "https://www.science.org/doi/10.1126/science.adi2336"
    },
    {
      "@type": "CreativeWork",
      "name": "Accurate medium-range global weather forecasting with 3D neural networks (Pangu-Weather)",
      "sameAs": "https://www.nature.com/articles/s41586-023-06185-3"
    }
  ]
}