Forecasting ionospheric TEC during geomagnetic storms based on spatiotemporal PredRNN++

Key Points

• Forecasting ionospheric TEC significantly improves during geomagnetic storms, providing crucial insights into space weather.
• The model PredRNN++ effectively predicts ionospheric TEC with a high accuracy rate, specifically during storm events.
• Observational analysis across various geomagnetic storm events highlights the model's robustness in variable conditions.
• The findings suggest that enhanced forecasting can aid in better preparing for the impacts of geomagnetic storms.