Different data-driven prediction of global ionospheric TEC using deep learning methods

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...

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Sonraí bibleagrafaíochta
Príomhchruthaitheoirí: Jun Tang, Mingfei Ding, Dengpan Yang, Cihang Fan, Nasim Khonsari, Wenfei Mao
Formáid: Alt
Teanga:English
Foilsithe / Cruthaithe: Elsevier 2024-06-01
Sraith:International Journal of Applied Earth Observations and Geoinformation
Ábhair:
Ionospheric TEC
Prediction
Random forest
Autoformer
Deep learning
Rochtain ar líne:http://www.sciencedirect.com/science/article/pii/S1569843224002437

Ar líne

http://www.sciencedirect.com/science/article/pii/S1569843224002437

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