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

Mandrikova, Oksana; Fetisova, Nadezhda; Polozov, Yuryi

doi:10.1088/1742-6596/1096/1/012091

Cited by 4 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The paper presents the results of ionospheric anomalies detection in online mode based on the ionosonde data at Paratunka station, Kamchatskiy kray (IKIR FEB RAS). To detect the anomalies, we apply a model and the algorithms for the analysis of complicated time series [1,2,3,4]. Ionospheric data (foF2, for example) refer to such time series.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of ionosphere state in AURORA online data analysis system

Polozov

Fetisova

2019

E3S Web Conf.

View full text Add to dashboard Cite

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). The developed algorithms have been implemented in Aurora system for online geophysical data analysis (http://lsaoperanalysis.ikir.ru:9180/lsaoperanalysis.html). The algorithms allow us to detect sudden anomalous changes of varying intensity in the dynamics of ionospheric parameters, as well as to estimate their characteristics. The efficiency of the system and the possibility of its application in space weather forecast tasks have been shown on the examples of events occurred in 2019.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Based on the generalized multi-component model, numerical algorithms and program tools for ionospheric parameter analysis were implemented [3,4,13]. With their help, it is possible to detect anomalous changes in the recorded ionospheric parameters and to estimate ionospheric disturbances in online mode.…”

Section: Introductionmentioning

confidence: 99%