{
  "id": 3547142,
  "title": "Expert Comment: More extreme weather is coming—AI may help us to better prepare for it",
  "url": "https://urgent.news/2026/08/26/expert-comment-more-extreme-weather-is-coming-ai-may-help-us-to",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-26T17:00:01.000Z",
  "source": {
    "name": "Phys.org",
    "slug": "phys-org",
    "url": "https://phys.org/news/2026-08-expert-comment-extreme-weather-ai.html"
  },
  "original_language": "en",
  "account": null,
  "summary": "The article from Phys.org discusses the impending threat of extreme weather events, particularly in the context of the strongest El Niño event on record, as forecasted by the U.S. National Oceanic and Atmospheric Administration (NOAA). The article highlights the potential devastation caused by extreme weather events in various regions, such as Kenya's 1997–98 El Niño and the catastrophic flooding in Derna, Libya, brought about by Storm Daniel. It emphasizes the need for improved forecasting systems to anticipate such extreme weather events before they occur. The article then introduces artificial intelligence (AI) as a potential solution, noting its ability to produce faster, cheaper, and more locally tailored weather forecasts without requiring significant infrastructure. However, the article also warns of the \"extrapolation problem\" associated with AI models, which refers to their limited ability to predict unprecedented events due to their reliance on historical data patterns.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}