E3S Web Conf.
Volume 62, 2018IX International Conference “Solar-Terrestrial Relations and Physics of Earthquake Precursors”
|Number of page(s)||11|
|Section||Geophysical Fields and their Interactions|
|Published online||07 November 2018|
Algorithms and results of streaming whistler recognition
Institute of Cosmophysical Research and Radio Wave Propagation of the Far Eastern Branch of Russian Academy of Science, 684034, Kamchatskiy kray, Paratunka, Mirnaya str. 7, Russia
* Corresponding author: firstname.lastname@example.org
Algorithms for streaming whistler recognition are offered. Different stages of algorithms are considered. The developed algorithms are used on a mini-computer software and hardware complexes for monitoring very low-frequency electromagnetic radiation at the Karymshina station in Kamchatka, on Oybenkel Geophysical Observatory of the Yu.G. Shafer Institute of Cosmophysical Research and Aeronomy (the Sakha Republic (Yakutia)), as well as recognition of whistlers is performed on the basis of open access data of abelian.org VLF station network in Todmorden United Kingdom (53,703N, 2.072W), Bielefeld Germany (52.146N, 8.458E), Cumiana Italy (44.96N, 7.42E), Warsaw Poland (52.16313N, 21.03094E), Australia Heathcote (36.804163S 144.67559E). Our whistler recognition results allowed us to establish on the days of strong whistler activity, there is an average positive correlation between the number of whistlers registered at Karymshino station in minutes of a day and the number of lightning strokes registered by WWLLN global network in minutes of a day in the coordinate rectangle LAT 25S-45S, LON 140E-160E (Australia).
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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