ionospheric potential
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Geosciences ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 491
Author(s):  
Sergey Pulinets ◽  
Galina Khachikyan

Basing on the catalogue of earthquakes with a magnitude of M ≥ 4.5 for the period 1973–2017, a UT variation with an amplitude of ~10% in the number of earthquakes is revealed and compared with a UT variation in the ionospheric potential (IP) with an amplitude of ~18%. We demonstrate that the amplitude of the UT variation in the number of deep-focus earthquakes is greater compared with that of crustal earthquakes, reaching 19%. The UT of the primary maxima of both the IP (according to modern calculations) and of earthquake incidence coincides (near 17:00 UT) and is, by 2 h, ahead of the classical Carnegie curve representing the UT variation in the atmospheric electric field on the ground surface. The linear regression equation between these UT variations in the number of deep-focus earthquakes and the ionospheric potential is obtained, with a correlation coefficient of R = 0.97. The results support the idea that the processes of earthquake preparation are coupled to the functional processes of the global electric circuit and the generation of atmospheric electric fields. In particular, the observed increase in thunderstorm activity over earthquake preparation areas, provided by air ionization due to radon emanation, yields a clue as to why the global thunderstorm distribution is primarily continental. Another important conclusion is that, in observing the longitudinal distributions of earthquakes against the IP distribution, we automatically observe that all such events occur in local nighttime hours. Considering that the majority of earthquake precursors have their maximums at local night and demonstrating the positive deviation from the undisturbed value, we obtain a clue as to its positive correlation with variations in the ionospheric potential.


2020 ◽  
Vol 38 (3) ◽  
pp. 645-656
Author(s):  
Audrey Schillings ◽  
Herbert Gunell ◽  
Hans Nilsson ◽  
Alexandre De Spiegeleer ◽  
Yusuke Ebihara ◽  
...  

Abstract. Ion escape is of particular interest for studying the evolution of the atmosphere on geological timescales. Previously, using Cluster-CODIF data, we investigated the oxygen ion outflow from the plasma mantle for different solar wind conditions and geomagnetic activity. We found significant correlations between solar wind parameters, geomagnetic activity (Kp index), and the O+ outflow. From these studies, we suggested that O+ ions observed in the plasma mantle and cusp have enough energy and velocity to escape the magnetosphere and be lost into the solar wind or in the distant magnetotail. Thus, this study aims to investigate where the ions observed in the plasma mantle end up. In order to answer this question, we numerically calculate the trajectories of O+ ions using a tracing code to further test this assumption and determine the fate of the observed ions. Our code consists of a magnetic field model (Tsyganenko T96) and an ionospheric potential model (Weimer 2001) in which particles initiated in the plasma mantle region are launched and traced forward in time. We analysed 131 observations of plasma mantle events in Cluster data between 2001 and 2007, and for each event 200 O+ particles were launched with an initial thermal and parallel bulk velocity corresponding to the velocities observed by Cluster. After the tracing, we found that 98 % of the particles are lost into the solar wind or in the distant tail. Out of these 98 %, 20 % escape via the dayside magnetosphere.


2019 ◽  
Vol 697 ◽  
pp. 134172 ◽  
Author(s):  
Arseniy Karagodin ◽  
Eugene Rozanov ◽  
Evgeny Mareev ◽  
Irina Mironova ◽  
Evgeny Volodin ◽  
...  

2019 ◽  
Vol 124 (9) ◽  
pp. 7553-7580 ◽  
Author(s):  
Aoi Nakamizo ◽  
Akimasa Yoshikawa

2019 ◽  
Vol 184 ◽  
pp. 5-17 ◽  
Author(s):  
N.Jeni Victor ◽  
Devendraa Siingh ◽  
C. Panneerselvam ◽  
P. Elango ◽  
V.S. Samy

2018 ◽  
Vol 171 ◽  
pp. 111-118 ◽  
Author(s):  
Limin Zhou ◽  
Brian Tinsley ◽  
Lin Wang ◽  
Gary Burns

2015 ◽  
Vol 120 (8) ◽  
pp. 7060-7082 ◽  
Author(s):  
Nikolay N. Slyunyaev ◽  
Evgeny A. Mareev ◽  
Artem A. Zhidkov

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