Abstract

The paper suggests the methods for analyzing geomagnetic field variations, which are implemented in “Aurora” software system for complex analysis of geophysical parameters. The software system allows one to perform a detailed magnetic data analysis. The methods allow one to estimate the intensity of geomagnetic perturbations and to allocate increased geomagnetic activity periods. The software system is publicly available (http://aurorasa.ikir.ru:8580, http://www.ikir.ru:8280/lsaserver/MagneticPage.jsp).This research was supported by the Russian Science Foundation (Project Nо. 14-11-00194).

Highlights

  • In this paper, we described software tools for geomagnetic data analysis, based on the application of modern mathematical methods and information technologies

  • Variations of the Earth's magnetic field contain important information on the processes in the magnetosphere that occur during the period of high solar activity

  • In the papers [3, 22], based on the combination of neural networks and wavelet transform, a method for automatic estimation of the state of the geomagnetic field was proposed, and it was implemented as a software application

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Summary

Introduction

We described software tools for geomagnetic data analysis, based on the application of modern mathematical methods and information technologies. Basis of DataMining applications, developed methods for automating the work of experts (creating so-called "electronic experts") to solve the problems of primary data processing, to detect industrial and physical anomalies and to form world databases. To use the geomagnetic data effectively and to obtain qualitatively new results, it is necessary to create adequate automated data processing and analysis systems Difficulties in solving these problems are related to the nonstationary structure of the field variations, the presence of local features of various shapes and durations that carry important information about the state of the earth's magnetic field. In the papers [3, 22], based on the combination of neural networks and wavelet transform, a method for automatic estimation of the state of the geomagnetic field was proposed, and it was implemented as a software application. The development of the program system was supported by the grant of the RNF No 14-1100194

Geomagnetic data analysis methods implemented in the software system
Construction of a wavelet-portrait of a magnetic storm
Conclusion

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