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  "path": "/science-updates/vast-space-sparse-data-an-ai-answer-to-twin-space-weather-challenges",
  "publishedAt": "2026-06-11T13:29:13.000Z",
  "site": "https://eos.org",
  "tags": [
    "Science Updates",
    "forecasting",
    "machine learning & AI",
    "magnetic fields & magnetism",
    "solar activity",
    "solar wind",
    "Space & Planets",
    "space weather (hazard)",
    "spacecraft",
    "the Sun"
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  "textContent": "Only a handful of spacecraft, some of which are illustrated here, monitor the vast space between the Sun and Earth, including the planet’s magnetosphere. To forecast space weather effectively, scientists must connect these scattered observations and extract as much information as possible from the limited data they provide. Credit: Mary Heinrichs/AGU",
  "title": "Vast Space, Sparse Data: An AI Answer to Twin Space Weather Challenges"
}