A Novel Neural Network‐Based Approach to Derive a Local Geomagnetic Baseline for Future Robust Characterization of Geomagnetic Indices at Mid‐Latitude

A Novel Neural Network‐Based Approach to Derive a Local Geomagnetic Baseline for Future Robust Characterization of Geomagnetic Indices at Mid‐Latitude

Abstract Geomagnetic indices derived from ground magnetic measurements characterize the intensity of solar‐terrestrial interaction. Global magnetic indices derived from multiple magnetic observatories at mid‐latitude have commonly been used for space weather operations. Yet, their temporal cadence i...

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Bibliographic Details
Main Authors: Rungployphan Kieokaew, Veronika Haberle, Aurélie Marchaudon, Pierre‐Louis Blelly, Aude Chambodut
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:Space Weather
Subjects:
geomagnetic baseline
geomagnetic index
space weather
neural networks
ionosphere
geomagnetism
Online Access:https://doi.org/10.1029/2024SW004192
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https://doi.org/10.1029/2024SW004192

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