ICCT-ML-in-geodesy/Ionospheric-VTEC-Forecasting
Example of using machine learning for forecasting Vertical Total Electron Content (VTEC) in the ionosphere
This project helps geodesists and space weather forecasters predict the Vertical Total Electron Content (VTEC) in the ionosphere. It takes historical VTEC data and other relevant geophysical measurements to generate future VTEC values. This tool is for scientists and engineers who need to anticipate ionospheric conditions for applications like satellite communication and navigation.
No commits in the last 6 months.
Use this if you need to forecast VTEC values to account for their impact on satellite-based systems.
Not ideal if you require real-time VTEC observations or highly localized, immediate ionospheric anomaly detection.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Aug 29, 2022
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