Beacon2Science: Enhancing STEREO/HI Beacon Data With Machine Learning for Efficient CME Tracking
Abstract Observing and forecasting coronal mass ejections (CMEs) in real‐time is crucial due to the strong geomagnetic storms they can generate that can have a potentially damaging effect, for example, on satellites and electrical devices. With its near‐real‐time availability, Solar TErrestrial REla...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Wiley
2025-07-01
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| Серія: | Space Weather |
| Онлайн доступ: | https://doi.org/10.1029/2025SW004440 |
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