Estimation of ionosphere state in AURORA online data analysis system
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.i...
| Published in: | E3S Web of Conferences |
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| Main Authors: | , |
| Format: | Article in Journal/Newspaper |
| Language: | English French |
| Published: |
EDP Sciences
2019
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| Subjects: | |
| Online Access: | https://doi.org/10.1051/e3sconf/201912701003 https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/53/e3sconf_strpep2019_01003.pdf https://doaj.org/article/89a22fe4f4f949cd85466fc67c82d3e7 |
| Summary: | 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. |
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