Application of Ensemble Kalman Filter With Covariance Localization in Data Assimilation of Radiation Belt Electrons
Abstract Data assimilation aims to enhance the system state estimate by merging sparse and diverse measurements with physical models, while considering their individual uncertainties. As a highly promising data assimilation technique, Ensemble Kalman Filter (EnKF) is well‐suited for addressing nonli...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-06-01
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| Series: | Space Weather |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2025SW004387 |
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