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...
| Huvudupphovsmän: | , , , , , |
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| Materialtyp: | Artikel |
| Språk: | English |
| Publicerad: |
Elsevier
2024-06-01
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| Serie: | International Journal of Applied Earth Observations and Geoinformation |
| Ämnen: | |
| Länkar: | http://www.sciencedirect.com/science/article/pii/S1569843224002437 |