Analysis Of Ionospheric Parameters Research Articles

Application of satellites system based on different heights for ionospheric disturbances monitoring

Results of data processing on-board Langmuir probes of CHAMP and DEMETER satellites are presented. The characteristics of satellites are given. Analysis of ionospheric parameters before strong earthquake is performed. At the altitudes of the satellites anomalous changes in the ionosphere parameters were detected a few days before the seismic event. Frequency distribution of anomalous ionospheric disturbances is obtained.

Analysis of ionospheric parameters by the software system “Aurora”

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 (http://aurorasa.ikir.ru:8580). The research was supported by RSF Grant, project No 14-11-00194.

Estimation of the efficiency of the earthquake prediction on the basis of the analysis of ionospheric parameters

A method of the operational forecast of strong earthquakes is considered. Exceedance of the current values of ionospheric critical frequency f 0 F 2 over the median values during the disturbed state of the magnetosphere is considered to be a precursor. The reliability, validity and the efficiency of the precursor were evaluated by A.A. Gusev's and G.M. Molchan's methods for the period of 2009-2016. Earthquakes with the magnitude of M ≥ 5.0 occurring within the zone of precursor appearance determined by Dobrovol'skiy's radius were considered as forecasting earthquakes. It was shown that the precursor has the best predictive efficiency for the seismic events with the magnitude of M ≥ 6.5.

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

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. The application of the method has shown its effectiveness and the possibility of using in the problems of estimating space weather and predicting strong magnetic storms. The research was supported by RSF Grant, project No 14-11-00194.

Analysis of ionospheric parameters during Solar events and geomagnetic storms

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.

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

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. It is based on a combination of a wavelet transform and autoregressive-integrated moving average models. Methods for the model diagnosis are described. The multicomponent model allows description of quiet variations in ionospheric parameters, prediction of the variations, and detection of anomalies during disturbances. An algorithm based on wavelets and threshold functions is used for detection and detailed analysis of the anomalies. Data from the Institute of Cosmophysical Research and Radio Wave Propagation, Far East Branch, Russian Academy of Sciences, on the ionospheric foF2 critical frequency above Kamchatka were used during the experiments. Anomalies that occur in the ionosphere during increased solar and seismic activity above Kamchatka have been revealed on the basis of the simulation and data analysis.

Modeling and analysis of ionospheric parameters by a combination of wavelet transform and autoregression models

We propose a method of the modeling and analysis of ionospheric parameters by combining wavelet transform with autoregression models (integrated moving average). The method makes it possible to reveal regularities in ionospheric parameters and to make forecasts on variations. Also, this method can be used to fill the gaps in ionospheric parameters, with consideration of their diurnal and seasonal variations.