Storm-Time Relative Total Electron Content Modelling Using Machine Learning Techniques
Accurately predicting total electron content (TEC) during geomagnetic storms is still a challenging task for ionospheric models. In this work, a neural-network (NN)-based model is proposed which predicts relative TEC with respect to the preceding 27-day median TEC, during storm time for the European...
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| Hoofdauteurs: | , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI AG
2022-12-01
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| Reeks: | Remote Sensing |
| Onderwerpen: | |
| Online toegang: | https://www.mdpi.com/2072-4292/14/23/6155 |
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