Recovering of local magnetic K-indices from global magnetic Kp-indices using neural networks: an application to Antarctica

This paper describes a method to obtain local magnetic index, K, from the global index, Kp. Until now, however, for the cases of areas without magnetic observatories, to estimate the geomagnetic activity there, global indices were the only option. The methodology that we used to estimate local index...

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Bibliographic Details
Published in:Annals of Geophysics
Main Authors: Antoni Segarra, Juan José Curto
Format: Article in Journal/Newspaper
Language:English
Published: Istituto Nazionale di Geofisica e Vulcanologia (INGV) 2015
Subjects:
Online Access:https://doi.org/10.4401/ag-6719
https://doaj.org/article/aecd59d54f0148398cfc8c0ddf637293
Description
Summary:This paper describes a method to obtain local magnetic index, K, from the global index, Kp. Until now, however, for the cases of areas without magnetic observatories, to estimate the geomagnetic activity there, global indices were the only option. The methodology that we used to estimate local index was based on neural networks. This tool has a great potential for processing information from complex systems as in the case of the geomagnetic system. Local K index calculated with this method resulted to be a better option than directly using the global index Kp when we need an indicator of geomagnetic activity in a specific area. The best results of our method were for moderate and high geomagnetic activity, which are of major interest in Space Weather.