Study of Auroral Phenomena Based on Ovation Prime Model

Student: Konkin Aleksandr

Educational Programme: Physics (Bachelor)

Final Grade: 9

Year of Graduation: 2024

The study of auroral activity is an important task of space weather forecasts. Predicting the fact of a magnetic storm can reduce the risk of spacecraft destruction. One of the best models for predicting auroral precipitation patterns and the fact of a magnetic storm is the Ovation Prime model, which is based on solar wind data obtained from satellites. This paper provides a comparative analysis of model predictions based on data from various satellites, and also uses machine learning methods to increase the predictive power of the model during periods of strong magnetic storms.

Full text (added June 3, 2024)

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