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Predicting Swarm Equatorial Plasma Bubbles Via Supervised Machine Learning. (arXiv:2209.13482v1 [physics.space-ph])
Sept. 28, 2022, 1:12 a.m. | S. Reddy, C. Forsyth, A. Aruliah, D. Kataria, A.Smith, J. Bortnik, E. Aa, G. Lewis
cs.LG updates on arXiv.org arxiv.org
Equatorial Plasma Bubbles (EPBs) are plumes of low density plasma that rise
up from the bottomside of the F layer towards the exosphere. EPBs are known
causes of radio wave scintillations which can degrade communications with
spacecraft. We build a random forest regressor to predict and forecast the
probability of an EPB [0-1] detected by the IBI processor on-board the SWARM
spacecraft. We use 8-years of Swarm data from 2014 to 2021 and transform the
data from a time series …
arxiv machine machine learning physics space supervised machine learning
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