Anna Malanushenko

Convolutional Neural Networks for Predicting the strength of the Near-Earth Magnetic Field Caused by Interplanetary Coronal Mass Ejections

Image depicting examples of various initial GLOW configurations
Thursday, July 9, 2020

In this paper, regression-based deep convolutional neural networks (CNN), with 12 layers, are developed for predicting the maximal amplitude of the southward component of the near-Earth magnetic field from a passing interplanetary coronal mass ejection (ICME).

Interview with HAO's Anna Malanushenko

Photograph of Anna Malanushenko

I was born and raised on the Crimean peninsula on the northern coast of the Black Sea (Eastern Europe), an area currently disputed between Russia and Ukraine. In brief, I was born in a politically incorrect place.

Anna Malanushenko

Anna Malanushenko is a Project Scientist I in the High Altitude Observatory and the Advanced Study Program for the National Center for Atmospheric Research. Her primary research interests are in Solar Transients and Space Weather.

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