An explainable Machine Learning model for Large-Scale Travelling Ionospheric Disturbances forecasting

An explainable Machine Learning model for Large-Scale Travelling Ionospheric Disturbances forecasting

Large-Scale Travelling Ionospheric Disturbances (LSTIDs) are wave-like ionospheric fluctuations, generally triggered by geomagnetic storms, which play a critical role in space weather dynamics. In this work, we present a machine learning model able to forecast the occurrence of LSTIDs over the Europ...

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Bibliographic Details
Main Authors: Ventriglia Vincenzo, Guerra Marco, Cesaroni Claudio, Spogli Luca, Altadill David, Segarra Antoni, Galkin Ivan, Barta Veronika, Verhulst Tobias G.W., de Paula Víctor, Navas-Portella Víctor, Berényi Kitti A., Belehaki Anna
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:Journal of Space Weather and Space Climate
Subjects:
large scale travelling ionospheric disturbances
ionosphere
forecasting
explainable artificial intelligence
machine learning
Online Access:https://www.swsc-journal.org/articles/swsc/full_html/2025/01/swsc240048/swsc240048.html
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https://www.swsc-journal.org/articles/swsc/full_html/2025/01/swsc240048/swsc240048.html

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