ionospheric disturbances
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2022 ◽  
Vol 14 (2) ◽  
pp. 401
Author(s):  
Mokhamad Nur Cahyadi ◽  
Buldan Muslim ◽  
Danar Guruh Pratomo ◽  
Ira Mutiara Anjasmara ◽  
Deasy Arisa ◽  
...  

The study of ionospheric disturbances associated with the two large strike-slip earthquakes in Indonesia was investigated, which are West Sumatra on 2 March 2016 (Mw = 7.8), and Palu on 28 September 2018 (Mw = 7.5). The anomalies were observed by measuring co-seismic ionospheric disturbances (CIDs) using the Global Navigation Satellite System (GNSS). The results show positive and negative CIDs polarization changes for the 2016 West Sumatra earthquake, depending on the position of the satellite line-of-sight, while the 2018 Palu earthquake shows negative changes only due to differences in co-seismic vertical crustal displacement. The 2016 West Sumatra earthquake caused uplift and subsidence, while the 2018 Palu earthquake was dominated by subsidence. TEC anomalies occurred about 10 to 15 min after the two earthquakes with amplitude of 2.9 TECU and 0.4 TECU, respectively. The TEC anomaly amplitude was also affected by the magnitude of the earthquake moment. The disturbance signal propagated with a velocity of ~1–1.72 km s−1 for the 2016 West Sumatra earthquake and ~0.97–1.08 km s−1 for the 2018 Palu mainshock earthquake, which are consistent with acoustic waves. The wave also caused an oscillation signal of ∼4 mHz, and their azimuthal asymmetry of propagation confirmed the phenomena in the Southern Hemisphere. The CID signal could be identified at a distance of around 400–1500 km from the epicenter in the southwestern direction.


Atmosphere ◽  
2022 ◽  
Vol 13 (1) ◽  
pp. 84
Author(s):  
Fedor Vybornov ◽  
Olga Sheiner ◽  
Alexey Kolchev ◽  
Evgeniy Zykov ◽  
Aleksandr Chernov ◽  
...  

We present the results of observations of traveling ionospheric disturbances (TIDs) based on the data of the operation of the network of chirp oblique sounding stations of the ionosphere on 18–19 December 2019. For observations, four stations of the same type located in Vasilsursk (56.3° N; 46.08° E), Yoshkar-Ola (56.62° N; 47.87° E), Kazan (55.8° N; 49.12° E), and Nizhny Novgorod (56.32° N; 44.02° E) were used. They formed six synchronous sounding paths with lengths from 120 km to 320 km. The registration of the amplitude-frequency and distance-frequency characteristics (AFC and DFC) by the chirp oblique sounding stations was carried out every minute. Additionally, two vertical sounding stations of the ionosphere as ionosondes CADI and Cyclone (Vasilsursk and Kazan) were used. The passage of several types of TIDs has been observed. Based on the measurements of the DFC of the ionosphere, as obtained on different paths by simultaneously operated chirp stations, and ionograms obtained by vertical ionosondes, estimates of the spatial dimensions and TID velocity were made, and their direction was identified.


2022 ◽  
Vol 14 (1) ◽  
pp. 188
Author(s):  
Saul A. Sanchez ◽  
Esfhan A. Kherani ◽  
Elvira Astafyeva ◽  
Eurico R. de Paula

Earthquakes are known to generate disturbances in the ionosphere. Such disturbances, referred to as co-seismic ionospheric disturbances, or ionoquakes, were previously reported for large earthquakes with magnitudes Mw≥ 6.6. This paper reports ionoquakes associated with the Ridgecrest earthquakes of magnitude (Mw=6.4), that occurred on 4 July 2019 in California, USA. The ionoquakes manifested in total electron content (TEC) in the form of traveling ionospheric disturbances (TIDs) within 1 h from the mainshock onset. These seismic-origin TIDs have unique wave characteristics that distinguish them from TIDs of non-seismic origin arising from a moderate geomagnetic activity on the same day. Moreover, in the space-time domain of the detection of seismic-origin TIDs, TIDs are absent on the day before and day after the earthquake day. Their spectral characteristics relate them to the Earth’s normal modes and atmospheric resonance modes. We found the ground velocity associated with the mainshock, rather than the ground displacement, satisfies the threshold criteria for detectable ionoquakes in TEC measurements. Numerical simulation suggested that the coupled seismo–atmosphere–ionosphere (SAI) dynamics energized by the atmospheric waves are responsible for the generation of ionoquakes. This study’s findings demonstrate the potential of using TEC measurement to detect the ionospheric counterparts of moderate earthquakes.


Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 233
Author(s):  
Ruijiao Zhang ◽  
Gang Chen ◽  
Yaxian Li ◽  
Shaodong Zhang ◽  
Wanlin Gong ◽  
...  

The oblique-incidence ionosonde network in North China is a very unique system for regional ionospheric observation. It contains 5 transmitters and 20 receivers, and it has 99 ionospheric observation points between 22.40° N and 33.19° N geomagnetic latitudes. The data of the ionosonde network were used to investigate the statistical characteristics of the quasi-3-h large-scale traveling ionospheric disturbances (LSTIDs). From September 2009 to August 2011, 157 cases of the quiet-time LSTIDs were recorded; 110 cases traveled southward, 46 cases traveled southwestward and only 1 case traveled southeastward. The LSTIDs mainly appeared between 10:00 and 19:00 LT in the months from September to the following May. We compared the data of the Beijing, Mohe and Yakutsk digisondes and found that the LSTIDs are most likely to come from the northern auroral region. These LSTIDs may be induced by the atmospheric gravity waves (AGWs) and presented obvious seasonal and diurnal varying features, indicating that the thermospheric wind field has played an important role.


2021 ◽  
Vol 14 (1) ◽  
pp. 38
Author(s):  
Juan Carlos Valdés-Abreu ◽  
Marcos A. Díaz ◽  
Juan Carlos Báez ◽  
Yohadne Stable-Sánchez

In this work, we present the positioning error analysis of the 12 May 2021 moderate geomagnetic storm. The storm happened during spring in the northern hemisphere (fall in the south). We selected 868 GNSS stations around the globe to study the ionospheric and the apparent position variations. We compared the day of the storm with the three previous days. The analysis shows the global impact of the storm. In the quiet days, 93% of the stations had 3D errors less than 10 cm, while during the storm, only 41% kept this level of accuracy. The higher impact was over the Up component. Although the stations have algorithms to correct ionospheric disturbances, the inaccuracies lasted for nine hours. The most severe effects on the positioning errors were noticed in the South American sector. More than 60% of the perturbed stations were located in this region. We also studied the effects produced by two other similar geomagnetic storms that occurred on 27 March 2017 and on 5 August 2019. The comparison of the storms shows that the effects on position inaccuracies are not directly deductible neither from the characteristics of geomagnetic storms nor from enhancement and/or variations of the ionospheric plasma.


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