Search Results for author: Stein Haaland

Found 2 papers, 1 papers with code

Machine Learning Solar Wind Driving Magnetospheric Convection in Tail Lobes

no code implementations3 Feb 2022 Xin Cao, Jasper S. Halekas, Stein Haaland, Suranga Ruhunusiri, Karl-Heinz Glassmeier

To quantitatively study the driving mechanisms of magnetospheric convection in the magnetotail lobes on a global scale, we utilize data from the ARTEMIS spacecraft in the deep tail and the Cluster spacecraft in the near tail.

Prediction of soft proton intensities in the near-Earth space using machine learning

1 code implementation11 May 2021 Elena A. Kronberg, Tanveer Hannan, Jens Huthmacher, Marcus Münzer, Florian Peste, Ziyang Zhou, Max Berrendorf, Evgeniy Faerman, Fabio Gastaldello, Simona Ghizzardi, Philippe Escoubet, Stein Haaland, Artem Smirnov, Nithin Sivadas, Robert C. Allen, Andrea Tiengo, Raluca Ilie

The average correlation between the observed and predicted data is about 56%, which is reasonable in light of the complex dynamics of fast-moving energetic protons in the magnetosphere.

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