Multi-Variate LSTM Prediction of Alaska Magnetometer Chain Utilizing a Coupled Model Approach

Multi-Variate LSTM Prediction of Alaska Magnetometer Chain Utilizing a Coupled Model Approach

During periods of rapidly changing geomagnetic conditions electric fields form within the Earth’s surface and induce currents known as geomagnetically induced currents (GICs), which interact with unprotected electrical systems our society relies on. In this study, we train multi-variate Long-Short T...

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Bibliographic Details
Main Authors: Matthew Blandin, Hyunju K. Connor, Doğacan S. Öztürk, Amy M. Keesee, Victor Pinto, Md Shaad Mahmud, Chigomezyo Ngwira, Shishir Priyadarshi
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Astronomy and Space Sciences
Subjects:
space weather
GIC
geomagnetic storms
ground geomagnetic field
machine learning
neural networks
Online Access:https://www.frontiersin.org/articles/10.3389/fspas.2022.846291/full

Internet

https://www.frontiersin.org/articles/10.3389/fspas.2022.846291/full

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