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

9 citations · 9 across the 1 of their papers we have counts for

collaborators

1 paper

physics.space-ph2021★ 9 cited

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

Elena A. Kronberg, Tanveer Hannan, Jens Huthmacher +14

The spatial distribution of energetic protons contributes towards the understanding of magnetospheric dynamics. Based upon 17 years of the Cluster/RAPID observations, we have deriv…