Estimation of geomagnetic field disturbance using the wavelet transform

Mandrikova, Oksana; Solovjev, I. S.; Khomutov, Sergey; Otsuka, Yuichi; Geppener, V. V.; Klionskiy, Dmitry M.

doi:10.1134/s1054661816040076

Cited by 6 publications

(1 citation statement)

References 7 publications

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“…However, the tasks of effective methods creating for the data analysis, the interpretation of the obtained results and their correspondence to model constructions remain largely open. The influence of solar activity on the magnetosphere and the Earth's ionosphere is complex, many aspects of which have not been sufficiently studied so far [1][2][3][4][5][6]. The most strong and complex ionospheric disturbances (irregularities) are formed during solar flares and geomagnetic storms.…”

Section: Introductionmentioning

confidence: 99%

Analysis of ionospheric parameters by the software system “Aurora”

Polozov

Fetisova

2017

E3S Web Conf.

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Abstract. The paper presents methods of modeling and analysis of ionospheric parameters, which realized in the program system of complex analysis of geophysical parameters "Aurora". The methods allow to analyze of characteristic changes in the ionospheric parameters and allocate the anomalous features during periods of ionospheric disturbances. The algorithm parameters are adapted for analyzing the ionospheric data of the Paratunka station (Kamchatka) and based on results of the estimates (station data of Yakutsk, Gakona, etc. were analyzed). Methods can be applied for the mid-latitude region. The system is implemented in the public domain

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Section: Introductionmentioning

confidence: 99%

Analysis of ionospheric parameters by the software system “Aurora”

Polozov

Fetisova

2017

E3S Web Conf.

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Algorithms of ionospheric anomalies detection in “Aurora” system of operational data analysis

Polozov

Fetisova

2018

E3S Web Conf.

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Algorithms for ionospheric data processing are presented in the paper. The algorithms are implemented in the real-time mode of ionospheric parameter analysis. They are a component of “Aurora” software system for geophysical data analysis. The algorithms allow us to estimate the state of the ionosphere in the region of Kamchatka Peninsula and to detect ionospheric anomalies. Assessment of the algorithms efficiency has shown that it is possible to use them to detect ionospheric anomalies that may occur on the eve of magnetic storms. The research is supported by the Russian Science Foundation Grant (Project No. 14-11-00194).

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Analysis of the ionospheric parameter dynamics on the basis of a generalized multicomponent model

et al. 2018

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In the present paper, we have carried out an analysis of the ionospheric critical frequency data of the F2 layer during strong magnetic storms in 2017-2018. The ionospheric data of Paratunka (IKIR FEB RAS, Kamchatka, 53.0 N, 158.7 E), Wakkanai (Japan, 45.16 N, 141.75 E), and Moscow stations (Russia, 55.49 N, 37.29 E) were used. The study was carried out using a generalized multicomponent model (GMCM) developed by the authors. GMCM allows studying the dynamics of the ionospheric parameters in detail and estimating their characteristics. Using the modeling, we detected and studied anomalous changes in the ionosphere preceding and accompanying the periods of magnetic storms in the analyzed areas. The study results were compared with the traditional median method and showed the perspectiveness of GMCM. The research is supported by a grant from the Russian Science Foundation (project No. 14-11-00194).

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Estimation of geomagnetic field disturbance using the wavelet transform

Cited by 6 publications

References 7 publications

Analysis of ionospheric parameters by the software system “Aurora”

Analysis of ionospheric parameters by the software system “Aurora”

Algorithms of ionospheric anomalies detection in “Aurora” system of operational data analysis

Analysis of the ionospheric parameter dynamics on the basis of a generalized multicomponent model

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