A Novel Model for Forecasting Geomagnetic Indices Using Machine Learning
Abstract Widely used geomagnetic activity indices like Kp or Dst, derived from the combined data from several observatories distributed worldwide, are crucial to forecasting since solar‐driven geomagnetic activity can significantly affect technology and human activities on Earth and in near‐Earth sp...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-04-01
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| Series: | Geophysical Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2025GL114848 |
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