A neural network-based local model for prediction of geomagnetic disturbances

• Published in: Journal of Geophysical Research: Space Physics
• Main Authors: Gleisner, Hans, Lundstedt, Henrik
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley-Blackwell 2001
• Subjects: Astronomy; Astrophysics and Cosmology; Ionosphere: Current systems; Ionosphere: Modeling and forecasting; Magnetospheric Physics: Solar wind/magnetosphere interactions; Mathematical Geophysics: Modeling; Sodankylä
• Online Access: https://lup.lub.lu.se/record/130194; https://doi.org/10.1029/2000JA900142

This study shows how locally observed geomagnetic disturbances can bepredicted from solar wind data with artificial neural network (ANN)techniques. After subtraction of a secularly varying base level, thehorizontal components X Sq and Y Sq of the quiettime daily variations are modeled with radial ba...