PROBLEMS OF PROCESSING OF RAW DATA FROM MAGNETIC OBSERVATORIES: WILL MODERN MATHEMATICAL TECHNOLOGIES HELP?

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Various aspects of the measurements and processing of raw magnetic data obtained at observatories are considered. It is noteworthy that the processing can be executed through simple mathematical methods and algorithms at almost all stages. Nevertheless, there are a number of tasks, for example, related to the mass recognition of noise in raw data and the need to fill in gaps, for the effective solution of which it is necessary to involve more powerful mathematical technologies.

作者简介

S. Khomutov

Institute of Cosmophysical Research and Radio Wave Propagation, FEB RAS

Email: Khomutov@ikir.ru
ORCID iD: 0000-0002-6231-7041
Scopus 作者 ID: 6603119813
Researcher ID: H-5860-2018
candidate of physical and mathematical sciences 1997

参考

  1. Gonsette A., Rasson J., Humbled F. In situ vector calibration of magnetic observatories // Geoscientific Instrumentation, Methods and Data Systems. — 2017. — Vol. 6, no. 2. — P. 361–366. — doi: 10.5194/gi-6-361-2017.
  2. INTERMAGNET Technical Reference Manual, Version 5.1.0 / ed. by B. V. St-Louis. — INTERMAGNET Operations Committee, Executive Council, 2020. — 146 p.
  3. Jankowski J., Sucksdorff C. Guide for magnetic measurements and observatory practice. — Warshaw : International Association of Geomagnetism, Aeronomy, 1996. — 236 p.
  4. Khomutov S. Y., Mandrikova O. V., Budilova E. A., et al. Noise in raw data from magnetic observatories // Geoscientific Instrumentation, Methods and Data Systems. — 2017. — Vol. 6, no. 2. — P. 329–343. — doi: 10.5194/gi-6-329-2017.
  5. McCuen B. A., Moldwin M. B., Steinmetz E. S., et al. Automated high-frequency geomagnetic disturbance classifier: A machine learning approach to identifying noise while retaining high-frequency components of the geomagnetic field // Journal of Geophysical Research: Space Physics. — 2023. — Vol. 128, no. 2. — P. 1–22. — doi: 10.1029/2022JA030842.
  6. Papsheva S. Y., Mandrikova O. V., Khomutov S. Y. Method of noise detection in magnetic data // Vestnik KRAUNC. Fizikomatematicheskie nauki. — 2019. — Vol. 29, no. 4. — P. 87–97. — doi: 10.26117/2079-6641-2019-29-4-87-97. — (In Russian).
  7. Sidorov R. V., Soloviev A. A., Bogoutdinov S. R. Application of the SP algorithm to the INTERMAGNET magnetograms of the disturbed geomagnetic field // Izvestiya, Physics of the Solid Earth. — 2012. — Vol. 48. — P. 410–414. — doi: 10.1134/S1069351312040088.
  8. Soloviev A. A., Bogoutdinov S. R., Agayan S. M., et al. Detection of hardware failures at INTERMAGNET observatories: application of artificial intelligence techniques to geomagnetic records study // Russian Journal of Earth Sciences. — 2009. — Vol. 11, no. 2. — ES2006. — doi: 10.2205/2009ES000387.
  9. Soloviev A. A., Chulliat A., Bogoutdinov S. R., et al. Automated recognition of spikes in 1 Hz data recorded at the Easter Island magnetic observatory // Earth, Planets and Space. — 2012. — Vol. 64. — P. 743–752. — doi: 10.5047/eps.2012.03.004.
  10. Soloviev A. A., Lesur V., Kudin D. V. On the feasibility of routine baseline improvement in processing of geomagnetic observatory data // Earth, Planets and Space. — 2018. — Vol. 70. — P. 1–14. — doi: 10.1186/s40623-018-0786-8.

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