SPACE-PHIMLGOct 4, 2019

Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder

arXiv:1910.03085v16 citations
Originality Synthesis-oriented
AI Analysis

This work addresses GNSS signal disruptions for navigation systems in high-latitude regions, but it is incremental as it applies an existing autoencoder method to new data.

The paper tackled the problem of correlating auroral dynamics with GNSS phase scintillation using a multi-scale residual autoencoder, finding that specific auroral structures show high correlation with scintillation magnitude.

High energy particles originating from solar activity travel along the the Earth's magnetic field and interact with the atmosphere around the higher latitudes. These interactions often manifest as aurora in the form of visible light in the Earth's ionosphere. These interactions also result in irregularities in the electron density, which cause disruptions in the amplitude and phase of the radio signals from the Global Navigation Satellite Systems (GNSS), known as 'scintillation'. In this paper we use a multi-scale residual autoencoder (Res-AE) to show the correlation between specific dynamic structures of the aurora and the magnitude of the GNSS phase scintillations ($σ_φ$). Auroral images are encoded in a lower dimensional feature space using the Res-AE, which in turn are clustered with t-SNE and UMAP. Both methods produce similar clusters, and specific clusters demonstrate greater correlations with observed phase scintillations. Our results suggest that specific dynamic structures of auroras are highly correlated with GNSS phase scintillations.

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