E3S Web Conf.
Volume 20, 2017VIII International Conference “Solar-Terrestrial Relations and Physics of Earthquake Precursors”
|Number of page(s)||14|
|Section||Geophysical Fields and their Interactions|
|Published online||24 October 2017|
Analysis of magnetic data of ground station network during strong magnetic storms
1 Institute of Cosmophysical Research and Radio Wave Propagation FEB RAS, 684034 Kamchatka region, Elizovskiy district, Paratunka, Mirnaya str., 7, Russia
2 >Kamchatka State Technical University, 683003 Kamchatka region, Petropavlovsk-Kamchatskiy, Kluchevskaya st., 35, Russia
3 Yu. G. Shafer Institute of Cosmophysical Research and Aeronomy SB RAS, 677980 Yakutsk, Lenin Ave., 31, Russia
4 CSIR-National Geophysical Research Institute, Telangana, Hyderabad - 500007, India
* Corresponding author: email@example.com
The paper suggests a new technique for magnetic data analysis to detect and to estimate short-time anomalous increases in geomagnetic disturbance intensity. Based on the technique and applying the data of meridionally arranged stations in the north-east of Russia («Kotel’nyi» KTN, «Tixi» TIX, «Chokurdakh» CHD, «Zyryanka» ZYK, «Mys Shmidta» CPS, «Yakutsk» YAK, «Magadan» MGD, «Paratunka» PET, «Khabarovsk» KHB) and the near equatorial Indian stations (“Hyderabad” HYB and “Choutuppal” CPL), we analyzed the geomagnetic field variations during strong magnetic storms. This approach allowed us to detect simultaneously occurring local increases in geomagnetic activity observed a few hours before events and during the main phases of magnetic storms.
The development of the method was supported by RSF Grant No.14-11-00194. Experimental investigations were supported by RFBR Grant No. 16-55-45007.
© The authors, published by EDP Sciences, 2017
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.