Different data-driven prediction of global ionospheric TEC using deep learning methods
Ionospheric Total Electron Content (TEC) is a crucial parameter for monitoring the ionosphere and space weather disasters. Its accurate prediction is vital for precise applications of Interferometric Synthetic Aperture Radar (InSAR) and Global Navigation Satellite System (GNSS). This study proposes...
| 主要な著者: | , , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Elsevier
2024-06-01
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| シリーズ: | International Journal of Applied Earth Observations and Geoinformation |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S1569843224002437 |