4.1 Article

Geomagnetically Induced Current Analyzed with Wavelet Extraction

期刊

BRAZILIAN JOURNAL OF PHYSICS
卷 52, 期 6, 页码 -

出版社

SPRINGER
DOI: 10.1007/s13538-022-01177-6

关键词

Geomagnetically induced current; Wavelet analysis; Space electrodynamics; Space weather

资金

  1. CNPq [424352/2018-4, 307083/2017-9, 306985/2021-7]
  2. FAPESP [2020/13015-0]
  3. CEA/EURATOM [V.3258.001]
  4. French Federation for Magnetic Fusion Studies (FR-FCM)
  5. Euratom research and training programme [633053]

向作者/读者索取更多资源

Investigation of electrodynamic effects considering South American features is crucial for understanding middle- to low-latitude space weather phenomena. A wavelet-based filtering method is applied to magnetic records to retrieve magnetic contributions related to geomagnetically induced currents (GIC). The wavelet analyses allow for a scale-dependent statistical characterization of magnetospheric-ionospheric processes affecting the Earth's surface. The proposed treatment provides a depurated GIC signal and establishes an objective-automatic computational method for GIC calculation treatment.
Investigation of electrodynamic effects considering South American features is essential to extend understanding of middle- to low-latitude space weather phenomena. For retrieving magnetic contributions related to geomagnetically induced currents (GIC), a wavelet-based filtering method is verified and applied to magnetic records on the ground. The experimental data with one-minute resolution were acquired with magnetometers at two Brazilian sites, close to the South Atlantic Magnetic Anomaly, from Nov. 6 to 11, 2004. The signal intensities vary primarily under the influence of the geomagnetic disturbance periods. The performed wavelet analyses allow for a scale-dependent statistical characterization (including their cross-correlation) of the magnetospheric-ionospheric processes that affect the Earth's surface. The non-stationary magnetic signals can thus be split into coherent events and background noise by the wavelet denoising technique. The statistics and physical features of both parts are analyzed, and it is shown that the proposed treatment yields a depurated GIC signal. As a complementary result, this procedure also establishes an objective-automatic computational method for the GIC calculation treatment.

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