Wavelet Model of Geomagnetic Field Variations and Its Application to Detect Short-Period Geomagnetic Anomalies
Geomagnetic data analysis is an important basis for the investigation of the processes in the near-Earth space, Earth magnetosphere, and ionosphere. The negative impact of geomagnetic anomalies on modern technical objects and human health determine the applied significance of the investigation and r...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-02-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/12/4/2072 |
| _version_ | 1827657337542803456 |
|---|---|
| author | Oksana Mandrikova Yuriy Polozov Sergey Khomutov |
| author_facet | Oksana Mandrikova Yuriy Polozov Sergey Khomutov |
| author_sort | Oksana Mandrikova |
| collection | DOAJ |
| description | Geomagnetic data analysis is an important basis for the investigation of the processes in the near-Earth space, Earth magnetosphere, and ionosphere. The negative impact of geomagnetic anomalies on modern technical objects and human health determine the applied significance of the investigation and requires the creation of effective methods for timely detection of the anomalies. Priory complicated structure of geomagnetic data makes their formalization and analysis difficult. This paper proposes a wavelet model for geomagnetic field variations. It describes characteristic changes and anomalies of different amplitude and duration. Numerical realization of the model provides the possibility to apply it in online analysis. We describe the process of model identification and show its efficiency in the detection of sudden, short-period geomagnetic anomalies occurring before and during magnetic storms. Raw second data of the Paratunka and Magadan observatories and post-processed minute data were used in the paper. The question of noise effect on the proposed model results was under consideration. |
| first_indexed | 2024-03-09T22:41:49Z |
| format | Article |
| id | doaj.art-a15786563d5141f79b46b31209c623a4 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T22:41:49Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-a15786563d5141f79b46b31209c623a42023-11-23T18:38:44ZengMDPI AGApplied Sciences2076-34172022-02-01124207210.3390/app12042072Wavelet Model of Geomagnetic Field Variations and Its Application to Detect Short-Period Geomagnetic AnomaliesOksana Mandrikova0Yuriy Polozov1Sergey Khomutov2Institute of Cosmophysical Research and Radio Wave Propagation, Far Eastern Branch of the Russian Academy of Sciences, Mirnaya St., 7, Paratunka, 684043 Kamchatskiy Kray, RussiaInstitute of Cosmophysical Research and Radio Wave Propagation, Far Eastern Branch of the Russian Academy of Sciences, Mirnaya St., 7, Paratunka, 684043 Kamchatskiy Kray, RussiaInstitute of Cosmophysical Research and Radio Wave Propagation, Far Eastern Branch of the Russian Academy of Sciences, Mirnaya St., 7, Paratunka, 684043 Kamchatskiy Kray, RussiaGeomagnetic data analysis is an important basis for the investigation of the processes in the near-Earth space, Earth magnetosphere, and ionosphere. The negative impact of geomagnetic anomalies on modern technical objects and human health determine the applied significance of the investigation and requires the creation of effective methods for timely detection of the anomalies. Priory complicated structure of geomagnetic data makes their formalization and analysis difficult. This paper proposes a wavelet model for geomagnetic field variations. It describes characteristic changes and anomalies of different amplitude and duration. Numerical realization of the model provides the possibility to apply it in online analysis. We describe the process of model identification and show its efficiency in the detection of sudden, short-period geomagnetic anomalies occurring before and during magnetic storms. Raw second data of the Paratunka and Magadan observatories and post-processed minute data were used in the paper. The question of noise effect on the proposed model results was under consideration.https://www.mdpi.com/2076-3417/12/4/2072geomagnetic field variationsgeomagnetic anomaliescomplicated structure data analysiswavelet transform |
| spellingShingle | Oksana Mandrikova Yuriy Polozov Sergey Khomutov Wavelet Model of Geomagnetic Field Variations and Its Application to Detect Short-Period Geomagnetic Anomalies Applied Sciences geomagnetic field variations geomagnetic anomalies complicated structure data analysis wavelet transform |
| title | Wavelet Model of Geomagnetic Field Variations and Its Application to Detect Short-Period Geomagnetic Anomalies |
| title_full | Wavelet Model of Geomagnetic Field Variations and Its Application to Detect Short-Period Geomagnetic Anomalies |
| title_fullStr | Wavelet Model of Geomagnetic Field Variations and Its Application to Detect Short-Period Geomagnetic Anomalies |
| title_full_unstemmed | Wavelet Model of Geomagnetic Field Variations and Its Application to Detect Short-Period Geomagnetic Anomalies |
| title_short | Wavelet Model of Geomagnetic Field Variations and Its Application to Detect Short-Period Geomagnetic Anomalies |
| title_sort | wavelet model of geomagnetic field variations and its application to detect short period geomagnetic anomalies |
| topic | geomagnetic field variations geomagnetic anomalies complicated structure data analysis wavelet transform |
| url | https://www.mdpi.com/2076-3417/12/4/2072 |
| work_keys_str_mv | AT oksanamandrikova waveletmodelofgeomagneticfieldvariationsanditsapplicationtodetectshortperiodgeomagneticanomalies AT yuriypolozov waveletmodelofgeomagneticfieldvariationsanditsapplicationtodetectshortperiodgeomagneticanomalies AT sergeykhomutov waveletmodelofgeomagneticfieldvariationsanditsapplicationtodetectshortperiodgeomagneticanomalies |