Publications of the laboratory

Application of regression analysis to investigate the dynamics of interplanetary environment parameters and their impact on auroral magnetosphere state

Polozov Yu., Mandrikova O.

Space weather has significant impact on the operation of communication means and complex engineering systems. Changes in Interplanetary Magnetic Field (IMF) Bz-component cause energy penetration into geospheric shells and generation of negative factors. ...

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Automated method for detection of ionospheric disturbances

Oksana Mandrikova, Nadezhda Fetisova

The paper proposes an automated method for analyzing the ionospheric parameters and detecting ionospheric disturbances. The method is based on a generalized multicomponent model (GMCM) of ionospheric parameters developed by the authors. ...

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Dynamics and spatio-temporal distribution of geomagnetic disturbances during periods of increased solar activity and magnetic storms

Mandrikova O., Rodomanskay A.

A detailed spatio-temporal analysis of magnetic data was performed during the periods of magnetic storms on October 02, 2013 and September 27, 2019 based on measurements of the station network. ...

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Earth electric field negative anomalies as earthquake precursors

Smirnov S.

In fair weather conditions, electric field potential gradient in the nearground air takes positive values. Negative anomalies occur under the influence of different ionizing processes such as galactic cosmic ray flux and radioactive gas emanation from the ground. ...

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Applying general markup knowledge to analyze ionograms of various ionosondes

Mochalov V., Mochalova A.

In order to improve the quality of recognition of ionograms, the use of general knowledge about the reference marking of ionograms at various points of installation of ionosondes of the same type is considered. ...

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Application of deep learning methods to predict ionosphere parameters in real time

Mochalov V., Mochalova A.

In this paper, the previously obtained results on recognition of ionograms using deep learning are expanded to predict the parameters of the ionosphere. ...

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Estimation of the state of the cosmic ray flux based on neural networks

Mandrikova B., Dmitriev A.

An automated method is proposed for assessing the state of the cosmic ray flux on the base of neural networks. The method allows using the data of neutron monitors to determine the state of the cosmic ray flux in accordance with the a priori specified states of the neural network. ...

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An automated method for detecting sporadic effects in cosmic rays

Geppener V., Mandrikova B.

The paper proposes an automated method for analyzing data from neutron monitors and detecting sporadic effects in the dynamics of cosmic rays. The method is based on the use of LVQ neural networks and wavelet transform constructions. ...

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Analysis of the data of IMF Bz and AE index for the period 1999-2018

Polozov Yu.

Solar-terrestrial relations are a part of space weather and they make significant impact on technosphere functioning. Interplanetary Magnetic Field (IMF) parameters measured at Lagrange point L1 show the beginning of possible changes in geophysical fields. ...

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Regression analysis of ionospheric disturbance factors

Polozov Yu., Mandrikova O.

Investigation of interactions of the near-planet space parameters, Earth magnetic field and ionospheric parameters are of interest in the tasks of solar-terrestrial physics and applied researches related to space weather. Ionosphere is one of the important factors of space weather. ...

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Application of Expert Systems and Simulation Modeling to Calculate Connectivity Between the Nodes of the Graph

Mochalov V., Mochalova A.

The problem of accurately calculating the probability of connectivity of graph nodes is not only very important for practical use, but also belongs to the class of NP-hard problems. ...

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Negative Anomalies of the Earth’s Electric Field as Earthquake Precursors

Smirnov S.

Anomalies of the electric field potential gradient have been observed in the near-ground air before earthquakes in different regions of the world. Such anomalies are likely caused by radon air ionization. ...

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Modeling and analysis of ionospheric parameters based on multicomponent model

Mandrikova O., Fetisova N.

The results of modeling and analysis of ionospheric parameters during disturbed geomagnetic field are presented. Hourly and 15-min data of the ionospheric critical frequency (foF2) at Paratunka site (Kamchatka, Russia, 53.0 N and 158.7 E) for the period 1968–2019 were applied. ...

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Analysis of geomagnetic disturbances dynamics during increased solar activity and magnetic storms (according to the measurements of Intermagnet station network)

Mandrikova O.V., Rodomanskay A., Zaitsev A.

We present and describe an automated method for analysis of magnetic data and for detection of geomagnetic disturbances based on wavelet transformation. ...

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Analysis of cosmic ray dynamics and ionospheric parameters during increased solar activity and magnetic storms

Mandrikova O.V., Polozov Yu.A., Mandrikova B.S.

Based on the ground station data, the paper investigates the dynamics of space rays and ionospheric parameters during strong and moderate magnetic storms 2018. The research was carried out applying new methods for modeling and data analysis suggested by the authors. ...

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Estimation of ionosphere state in Aurora online data analysis system

Polozov Yu.A., Fetisova N.V.

The paper presents the results of detection of ionospheric anomalies in online mode according to the ionosonde data at Paratunka station, Kamchatka peninsula (IKIR FEB RAS). ...

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Winter thunderstorms in Kamchatka

Smirnov S., Mikhailov Yu., Mikhailova G., Kapustina O.

Winter thunderstorms in Kamchatka are rare meteorological phenomena. ...

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Features of winter thunderstorms in Kamchatka

Smirnov S.E., Mikhailov Yu.M., Mikhailova G.A., Kapustina O.V.

Winter thunderstorms in Kamchatka are a rare meteorological phenomenon. ...

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Analysis of the dynamics of ionospheric parameters during periods of increased solar activity and magnetic storms

Mandrikova O., Polozov Y., Fetisova N., Zalyaev T.

In this work, according to the ground observation data, we study the dynamics of the ionospheric parameters during periods of strong and moderate magnetic storm of 2015–2017. The study was carried out using new methods of modeling and data analysis proposed by the authors. ...

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Method of ionospheric parameter analysis in the problems of real-time data processing

Mandrikova O.V., Fetisova N.V., Polozov Y.A.

The paper presents an ionospheric data analysis method based on the application of wavelet transform and threshold functions. The method allows the authors to analyze ionospheric parameters and to detect anomalies occurring during ionospheric disturbances in real-time mode. ...

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

Mandrikova O., Fetisova N., Polozov Yu., Geppener V.

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. ...

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

Polozov Yu.A., Fetisova N.V.

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. ...

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Multiscale variation model and activity level estimation algorithm of the Earth's magnetic field based on wavelet packets

Mandrikova O.V., Solovyev I.S., Khomutov S.Y., Geppener V.V., Klionskiy D.M., Bogachev M.I.

We suggest a wavelet-based multiscale mathematical model of geomagnetic field variations. The model is particularly capable of reflecting the characteristic variation and local perturbations in the geomagnetic field during the periods of increased geomagnetic activity. ...

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Features of the atmospheric temperature variations prior to strong earthquakes in Kamchatka and their relation to the fluxes of outgoing infrared radiation

Mikhailova G.A., Kapustina O.V., Mikhailov Yu.M., Smirnov S.E.

The temperature variations of the near-surface atmosphere in Kamchatka at Paratunka observatory and fluxes of outgoing infrared radiation prior to strong Kuril earthquakes (November 15, 2006, M = 8.3; January 13, 2007, M = 8.1) have been analyzed. ...

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Variations of atmospheric electric field and meteorological parameters in Kamchatka in 1997-2016

Smirnov S.

Analysis of seasonal and annual variations of aero-electric field at a midlatitudinal observatory Paratunka in Kamchatka was carried out for 1997-2016. Stable seasonal intervals of the highest and the lowest values are observed. ...

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Joint analysis of the ionospheric parameters and cosmic ray data during periods of magnetic storms 2015

Mandrikova O.V., Polozov Y., Zalyaev T.

Method of joint analysis of ionospheric parameters and cosmic ray data is proposed. The method allowsto allocate anomalous changes in data before strong magnetic storms. The developed method is based on the application of wavelet transform, neural networks and classical autoregressive models. ...

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Analysis of ionospheric parameters by the software system Aurora

Polozov Yu.A., Fetisova N.V.

The paper presents methods of modeling and analysis of ionospheric parameters, which realized in the program system of complex analysis of geophysical parameters “Aurora”. ...

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Effects of strong earthquakes in variations of electrical and meteorological parameters of the near-surface atmosphere in Kamchatka Region

Smirnov S.E., Mikhailova G.A., Mikhailov Yu.M.2, Kapustina O.V.

The diurnal variations in electrical (quasistatic electric field and electrical conductivity) and meteorological (temperature, pressure, relative humidity of the atmosphere, and wind speed) parameters, measured simultaneously before strong earthquakes in Kamchatka region (November 15, 2006, М = ...

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Noise in raw data from magnetic observatories

Khomutov S. Y., Mandrikova O.V., Budilova E.A., Arora K.3, Manjula L.

In spite of significant progress in the development of new devices for magnetic measurements, mathematical and computational technologies for data processing and means of communication, the quality of magnetic data accessible through the data centres (for example, World Data Centres or ...

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Atmospheric anomalies and anomalies of electricity in the near-surface atmosphere before the Kamchatka earthquake of January 30, 2016, based on the data from the Paratunka observatory

Bychkov V.V., Korsunova L.P., Smirnov S.E., Hegai V.V.

The 15-min data of vertical ionosphere sounding and 10-min data from measurements of the vertical component (Ez) of the near-surface quasistatic atmospheric electrical field and the respective values of electrical conductance of near-surface air at the Paratunka complex geophysical observatory ...

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Modeling and analysis of cosmic ray variations during periods of heliospheric disturbances

Mandrikova O.V., Zalyaev T.L.

The work is based on the application of the method of modeling and analysis of variations in the intensity of cosmic rays developed by the authors. ...

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Multicomponent model of ionospheric parameter time series

Mandrikova O.V., Geppener V.V., Fetisova N.V.

The paper considers a multicomponent model (MCM) of ionospheric parameter time variations which was developed by the authors. The suggested model describes the parameter regular variations and detects the periods of anomalous changes in data. ...

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Estimation of geomagnetic field disturbance using the wavelet transform

Mandrikova O.V., Solovjev I.S., Khomutov S.Yu., Baishev D.G., Geppener V.V., Klionkiy D.M.

This paper discusses the main aspects of geomagnetic data processing using the wavelet transform. The wavelet transform is shown to be efficient for automatic extraction of unperturbed level of the horizontal component of the Earth's magnetic field. ...

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Anomalous changes of vertical geomagnetic field in Kamchatka

Moroz Y., Smirnov S., Nazarova Z.

Secular variations of the vertical geomagnetic field at Paratunka (Kamchatka), Kakioka (Honshu), Mamambetsu (Hokkaido) and Patrony (Irkutsk) are considered from 1968 to 2014. ...

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First results of atmospheric electricity measurements by CS110 electric field meter at Paratunka observatory, Kamchatka

Khomutov S., Smirnov S., Butin S., Babakhanov I.

The results of continuous measurements of AEF potential gradient by CS110 fluxmeter at Paratunka observatory are presented.

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Analysis of ionospheric parameters during solar events and geomagnetic storms

Mandrikova O.V., Polozov Yu.A., Solovev I.S., Fetisova N.V.

The paper shows new methods of analysis of ionospheric and magnetic data applying the models of multicomponent constructions (MCM models) developed by the authors. Based on ground station data, the analysis of ionospheric and magnetic data during increased solar activity was carried out.

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Methods of analysis of geophysical data during increased solar activity

Mandrikova O.V., Polozov Yu.A., Solovev I.S., Fetisova (Glushkova) N.V., Zalyaev T.L., Kupriyanov M.S., Dmitriev A.V.

This work is directed at creation of methods of study of the processes in the ionospheric–-magnetospheric system during increased solar and geomagnetic activity. ...

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Method for modeling of the components of ionospheric parameter time variations and detection of anomalies in the ionosphere

Mandrikova O.V., Fetisova N.V., Polozov Yu.A., Solovev I.S., Kupriyanov M.S.

In this study, a new multicomponent model (MCM) to determine the time variation of ionospheric parameters is suggested. ...

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Ionospheric parameter modelling and anomaly discovery by combining the wavelet transform with autoregressive models

Mandrikova O.V., Fetisova (Glushkova) O.V., Al-Kasasbeh R.T., Klionskiy D.M., Geppener V.V., Ilyash M.Y.

The paper is devoted to new mathematical tools for ionospheric parameter analysis and anomaly discovery during ionospheric perturbations. ...

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Simulation and analysis of time variations in ionospheric parameters on the basis of wavelet transform and multicomponent models

Mandrikova O.V., Glushkova N.V., Polozov Yu.A.

This work is devoted to development of instruments for analysis of ionospheric parameters and detection of anomalies that occur during ionospheric disturbances. An algorithm is proposed to determine the parameters of a multicomponent model of ionospheric data. ...

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Analysis of the Earth’s magnetic field variation on the basis of a wavelet-based approach

O.V. Mandrikova, I.S. Solovjev, V.V. Geppener, D.M. Klionskiy, R.T. Al-Kasasbeh

In the present paper we will discuss a new wavelet-based approach aimed at processing and analyzing different features of complex geomagnetic signals. ...

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Method of detection of abnormal features in ionosphere critical frequency data on the basis of wavelet transformation and neural networks combination

O.V. Mandrikova, Yu. A. Polozov, V.V. Bogdanov, E.A. Zhizhikina

The research is focused on the development of automatic detection method of abnormal features, that occur in recorded time series of ionosphere critical frequency foF2 during periods of high solar or seismic activity. ...

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Influence of a single lightning discharge on the intensity of an air electric field and acoustic emission of near-surface rocks

Smirnov, S.E., and Marapulets, Y. V.

The effect was observed as a sharp fall of the electric potential gradient from +80 V m−1 down to –21 V m−1. After that the field returned to its normal level according to the formula of the capacitor discharge with 17 s characteristic time. ...

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Analyzing Subtle Features of Natural Time Series by Means of a Wavelet–Based Approach

O.V. Mandrikova, I.S. Solovjev, V.V. Geppener, D.M. Klionskiy

The present paper is devoted to the development of methods and approaches intended for the analysis of natural time series. Due to the strong variability, irregularity, and complex structure of the time series in question, the problem of automatic processing, i.e. ...

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Effects of geomagnetic disturbances in the near Earth’s atmosphere and possible biophysical mechanism of their influence on the human cardiovascular system

Mikhailova G.A., Smirnov S.E.

We analyze the effect of geomagnetic activity on variations in quasi-static electric field strength and the horizontal geomagnetic field component in the band of periods of tidal and planetary waves. ...

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New wavelet-based approach intended for the analysis of subtle features of complex natural signals

O.V. Mandrikova, I.S. Solovjev, V.V. Geppener, D.M. Klionskiy

The present paper is devoted to the development of methods and algorithms intended for the analysis of complex natural signals (time series). Due to their variability, irregularity and complex structure the task of signal analysis and processing in the automatic mode is rather complicated. ...

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The STEL induction magnetometer network for observation of high-frequency geomagnetic pulsations

K. Shiokawa, R. Nomura, K. Sakaguchi, Y. Otsuka, Y. Hamaguchi, M. Satoh, Y. Katoh, Y. Yamamoto, B. M. Shevtsov, S. Smirnov, I. Poddelsky, M. Connors

The Solar-Terrestrial Environment Laboratory (STEL) induction magnetometer network has been developed to investigate the propagation characteristics of high-frequency geomagnetic pulsations in the Pc1 frequency range (0.2–5 Hz). ...

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Experimental Evidence of the Correlation between Possible Precursors of Earthquakes in Near Surface Quasistatic Electric Fields and in the Ionosphere

Korsunova L.P., Mikhailov Yu.M., Khegai V.V., Leshchenko L.N., Smirnov S.E., Bogdanov V.V.

We consider data obtained when the parameters of the ionospheric Es and F2 layers and the vertical gradient of the electric potential in the surface atmosphere were simultaneously measured during the preparatory period of crustal earthquakes with M = 5.0–6.2 in the Kamchatka region. ...

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Power spectrum features of near-Earth atmospheric electric field in Kamchatka

Y. M. Mikhailov, G. A. Mikhailova, O. V. Kapustina, A. V. Buzevich, S. E. Smirnov

Power spectrum of the diurnal variations of the quasi-electrostatic field Ez in the near-Earth atmosphere have been presented for the first time. ...

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