Abstract Recording of whistlers during Bezymyanniy and Shiveluch volcano eruptions | UCP
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Recording of whistlers during Bezymyanniy and Shiveluch volcano eruptions

GC2024-STP005

Evgeniy I. Malkin1, Nina V. Cherneva1, Evgeniy A. Kazakov1, Veronika I. Cherneva2,3, Dmitriy O. Makhlai2, Rinat R. Akbashev4, Dmitriy V. Sannikov1, Olga E. Malkina5, Janos Lichtenberger6,7, David Koronczay7, Marina Y. Andreeva8
1 Institute of Cosmophysical Research and Radio Wave Propagation (IKIR FEB RAS), Paratunka, Russia 2 ITMO University, St. Petersburg, Russia 3 Scientific research geotechnological center FEB RAS, Petropavlovsk-Kamchatsky, Russia 4 Kamchatka Branch, Geophysical Survey, Russian Academy of Sciences, Petropavlovsk-Kamchatsky, Russia 5 Vitus Bering Kamchatka State University, Petropavlovsk-Kamchatsky, Russia 6 Department of Geophysics and Space Sciences, Eotvos University, Budapest, Hungary 7 HUN–REN–ELTE Space Research Group, Budapest, Hungary 8 Institute of Marine Geology and Geophysics FEB RAS, Yuzhno-Sakhalinsk, Russia
malkin@ikir.ru

Continuous monitoring of natural electromagnetic radiation in VLF range (3-30 kHz) by a VLF direction finder, which records signals of electric and magnetic components of the electromagnetic field and determines the direction of radiation arrival in real time, made it possible to create a long-term data base of lightning activity on Kamchatka peninsular [1]. Statistical analysis of the obtained data base [2] was carried out to detect whistler generation sources using the data of the Automatic Whistler Detector and Analyzer Network and the World Wide Lightning Location Network [3-7].  Different electromagnetic signals were recorded during the analysis of the strongest three eruptions of Bezymyanniy (20.12.2017, 7.04.2023) and Shiveluch (10.04.2023) volcanoes from the corresponding azimuths along the direction to the active volcanoes. The time range, selected for the analysis, is determined by a large number of recorded pulses. For example, the total number of strokes during Shiveluch volcano eruption reached 26101 pulses [8]. In the general data flow, signals of whistler type were detected. Analysis of their disperse characteristics showed the presence of initiating atmospherics that, in its turn, indicates so called long whistlers. It is also illustrated that the initiating atmospheric is one from the pair of positive strokes in more than 90% of all recorded cases.

References:

[1] Druzhin G.I., et. al. VLF–direction finder to investigate natural radio radiations, Vestnik KRAUNTs. Fiz.-mat. nauki. 2019, 27, 2, 95-104. https://doi.org/10.26117/2079-6641-2019-27-2-95-104 

[2] Malkin E. I., et. al. Statistical relationship between whistlers and sprites according to AWDANET and WWLLN data. Vestnik KRAUNC. Fiz.-mat. nauki. 2022, 41: 4, 178-190. DOI:10.26117/2079-6641-2022-41-4-178-190

[3] Antel C., Collier A. B., Lichtenberger J., Rodger C. J. Investigating Dunedin whistlers using volcanic lightning., Geophysical Research Letters, 2014. vol. 41(13), pp. 4420–4426 https://doi.org/10.1002/2014GL060332

[4] Storey L. R. O. An investigation of whistling atmospherics, Philosophical Transactions of the Royal Society of London.  1953. vol. 246, no. 908, pp. 113–141 https://doi.org/10.1098/rsta.1953.0011

[5] Holzworth R. H., et. al. Lightning whistler waves in the high-latitude magnetosphere, J. Geophys. Res., 1999. vol. 104(A8), pp. 17369–17378 https://doi.org/10.1029/1999JA900160

[6] Collier A. B., et. al. Global lightning distribution and whistlers observed at Dunedin, New Zealand, Ann. Geophys, 2010. vol. 28, pp. 499–513 DOI: 110.5194/angeo-28-499-2010.

[7] Malkin, E., et. al. (2023). Relation Between Sprites and Whistlers Based on AWDANET and WWLLN Data. Springer Proc. in Earth and Environmental Sciences. pp 54–61. https://doi.org/10.1007/978-3-031-50248-4_7

[8] Malkin E. I., et al. Remote methods for observations of Shiveluch and Bezymianny volcano eruptions. Vestnik KRAUNC. Fiz.-mat. nauki. 2023, 43: 2, 141-165. https://doi.org/10.26117/2079-6641-2023-43-2-
141-165

 

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