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EDITORIAL article

Front. Environ. Sci., 09 May 2023
Sec. Atmosphere and Climate
This article is part of the Research Topic Atmospheric Disturbances: Responses to Phenomena from Lithosphere to Outer Space View all 5 articles

Editorial: Atmospheric disturbances: responses to phenomena from lithosphere to outer space

  • 1Institute of Physics Belgrade, University of Belgrade, Belgrade, Serbia
  • 2Geographical Institute “Jovan Cvijić” SASA, Belgrade, Serbia
  • 3Space Research Institute, Russian Academy of Sciences, Moscow, Russia

A large number of processes and phenomena that occur both in the Earth’s layers (Veronis et al., 1999; Beletsky et al., 2003; Bochev and Dimitrova, 2003; Balan et al., 2008; Utada et al., 2011; Simões et al., 2012; Nina et al., 2020b) and in outer space (Inan et al., 2007; Srećković et al., 2017; Nina et al., 2018; Nina et al., 2021; Kolarski et al., 2022) constantly affect the terrestrial atmosphere. Although the effects that phenomena created in different areas produce in atmospheric layers depend on their characteristics and the observed geographical location, changes can very often be detected in large areas that include several atmospheric layers. Also, there are numerous influences on one atmospheric area (Nina et al., 2017; Silber and Price, 2017). In addition, changes in the atmosphere as a medium, in which other processes take place, have an impact on various processes and technologies in modern life (Jakowski et al., 2005; Stankov et al., 2009; Su et al., 2019; Nina et al., 2020a; Hunting et al., 2021). Therefore, the monitoring and understanding of spatio-temporal atmospheric changes are important for research in a number of scientific disciplines as well as for geoinformation technologies. Here, first of all, the importance of research into atmospheric changes related to natural disasters should be emphasized (Molchanov et al., 2004; Price et al., 2007; Maurya et al., 2016; Kumar et al., 2017; Vyklyuk et al., 2017, 2019; Manta et al., 2020; Malinović-Milićević et al., 2023). For example, the Lithosphere-Atmosphere-Ionosphere Coupling (LAIC) model based on the effects of ionisation provided by radon released from active tectonic faults before earthquakes is created in Pulinets et al. (2022).

In this Research Topic, studies of solar flare and seismic processes (possible) influences on the atmosphere are presented. Here, we briefly review and summarize these articles.

Barta et al. analysed the ionosphere during influences of solar flares that occurred on 5 and 6 December 2006. This study is based on data obtained in ground-based (by ionosonde and very low frequency (VLF) radio signals) and satellite (by GNSS and DEMETER satellites) observations. The obtained results show 1) an increase in VTEC (2%–5%) during a stronger flare and the absence of its change in the case of a weaker flare, 2) a latitude dependent enhancement of fmin (first echo trace observed on ionograms) during both observed events in relation for quiet periods. In addition, a change in absorption of VLF signal from ground transmitters detected in low Earth orbit, and electron density profile versus ionospheric D-region altitude are presented.

Liu et al. proposed a way to explore the seismic activity of submarine faults. The study analyses disturbances in the atmosphere in the days leading up to, during, and after the Ms 6.2 Zhangbei earthquake that occurred on 10 January 1998, 150 km northwest of Beijing, using observations from satellites, reanalysis data, and satellite infrared cloud images. A positive thermal infrared (TIR) anomaly was detected in the area between the sea surface and the atmosphere above the Bohai Sea 2–3 days prior to the earthquake. The TIR strip was caused by clouds of low level arising from the release of gas from the Tancheng-Lujiang fault, which has a higher temperature than land surface gas, but not from the Zhangbei-Bohai fault that was previously considered. It was concluded that strip-shaped clouds that are the consequence of seismic activity and underwater release of gas were forced by a certain wind field and lowering boundary layer of the atmosphere.

Nina et al. extend research of VLF signal noise amplitude reductions before an earthquake to their studying during intense seismic activity. They analysed a time period from 25 October to 3 November 2016 when 981 earthquakes with magnitudes between 2 and 6.5 occurred in Central Italy. VLF observations confirm the noise amplitude reduction before individual not weak earthquakes that do not follow earthquakes after which the analyzed change is already present. In addition, this study point out the beginning of noise amplitude changes 2 weeks before the considered seismically active period.

Chakraborty et al. studied the altitude (h) profile of mid-latitude D-region response time delay (Δt) during solar flares of different classes. By solving “electron continuity equation” they estimated the variation of solar irradiation onto the ionosphere and investigated latitudinal variation (over both Northern and Southern hemispheres within the latitude range from 30o to 60o) and seasonal variation (throughout the year) of Δth profiles of each of these solar flares separately. They found h dependency of Δt for all of the flares and their significant latitudinal variation. The methodology shown in the paper is not limited to the Δth profiles just for the classes of solar flares in case, but is applicable to the entire range of available solar flares.

Author contributions

AN, BM, SM-M, and SP all made substantial contributions to the conception and design of the work and to drafting and revising it for important intellectual content. All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication. All authors contributed to the article and approved the submitted version.

Funding

The authors acknowledge funding provided by the Institute of Physics Belgrade and the Geographical Institute “Jovan Cvijić” SASA through the grants by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Balan, N., Alleyne, H., Walker, S., Reme, H., McCrea, I., and Aylward, A. (2008). Magnetosphere-ionosphere coupling during the CME events of 07-12 November 2004. Jo. Atmos. Solar-Terr. Phys. 70, 2101–2111. doi:10.1016/j.jastp.2008.03.015

CrossRef Full Text | Google Scholar

Beletsky, A. B., Afraimovich, E. L., Gress, O. G., Lesyuta, O. S., Mikhalev, A. V., and Shalin, A. Y. (2003). “Wave disturbances in the Earth’s atmosphere during the passage of Leonid’s meteor stream on November 16-18, 2001,” in Society of photo-optical instrumentation engineers (SPIE) conference series. Editors G. G. Matvienko, and V. P. Lukin, 5027, 216–223. doi:10.1117/12.497322

CrossRef Full Text | Google Scholar

Bochev, A. Z., and Dimitrova, I. I. A. (2003). Magnetic cloud and magnetosphere - ionosphere response to the 6 November 1997 CME. Adv. Space Res. 32, 1981–1987. doi:10.1016/S0273-1177(03)90636-3

CrossRef Full Text | Google Scholar

Hunting, E. R., Matthews, J., Fernández de Arróyabe Hernáez, P., England, S. J., Kourtidis, K., Koh, K., et al. (2021). Challenges in coupling atmospheric electricity with biological systems. Int. J. Biometeorol. 65, 45–58. doi:10.1007/s00484-020-01960-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Inan, U. S., Lehtinen, N. G., Moore, R. C., Hurley, K., Boggs, S., Smith, D. M., et al. (2007). Massive disturbance of the daytime lower ionosphere by the giant γ-ray flare from magnetar SGR 1806-20. Geophys. Res. Lett. 34, L08103. doi:10.1029/2006GL029145

CrossRef Full Text | Google Scholar

Jakowski, N., Stankov, S. M., and Klaehn, D. (2005). Operational space weather service for GNSS precise positioning. Ann. Geophys. 23, 3071–3079. doi:10.5194/angeo-23-3071-2005

CrossRef Full Text | Google Scholar

Kolarski, A., Sreckovic, V., and Mijic, Z. (2022). Monitoring solar activity during 23/24 solar cycle minimum through VLF radio signals. Contrib. Astron. Obs. Skaln. Pleso 52, 105–115. doi:10.31577/caosp.2022.52.3.105

CrossRef Full Text | Google Scholar

Kumar, S., NaitAmor, S., Chanrion, O., and Neubert, T. (2017). Perturbations to the lower ionosphere by tropical cyclone Evan in the south Pacific region. J. Geophys. Res. Space 122, 8720–8732. doi:10.1002/2017JA024023

CrossRef Full Text | Google Scholar

Malinović-Milićević, S., Radovanović, M. M., Radenković, S. D., Vyklyuk, Y., Milovanović, B., Milanović Pešić, A., et al. (2023). Application of solar activity time series in machine learning predictive modeling of precipitation-induced floods. Mathematics 11, 795. doi:10.3390/math11040795

CrossRef Full Text | Google Scholar

Manta, F., Occhipinti, G., Feng, L., and Hill, E. M. (2020). Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding. Sci. Rep. 10, 11110. doi:10.1038/s41598-020-68097-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Maurya, A. K., Venkatesham, K., Tiwari, P., Vijaykumar, K., Singh, R., Singh, A. K., et al. (2016). The 25 april 2015 Nepal earthquake: Investigation of precursor in VLF subionospheric signal. J. Geophys.l Res. Space. 121(10), 416. doi:10.1002/2016JA022721

CrossRef Full Text | Google Scholar

Molchanov, O., Fedorov, E., Schekotov, A., Gordeev, E., Chebrov, V., Surkov, V., et al. (2004). Lithosphere-atmosphere-ionosphere coupling as governing mechanism for preseismic short-term events in atmosphere and ionosphere. Nat. Haz. Earth Sys. Sci. 4, 757–767. doi:10.5194/nhess-4-757-2004

CrossRef Full Text | Google Scholar

Nina, A., Čadež, V. M., Bajčetić, J., Mitrović, S. T., and Popović, L. Č. (2018). Analysis of the relationship between the solar X-ray radiation intensity and the D-region electron density using satellite and ground-based radio data. Sol. Phys. 293, 64. doi:10.1007/s11207-018-1279-4

CrossRef Full Text | Google Scholar

Nina, A., Čadež, V. M., Popović, L. Č., and Srećković, V. A. (2017). Diagnostics of plasma in the ionospheric D-region: Detection and study of different ionospheric disturbance types. Eur. Phys. J. D. 71, 189. doi:10.1140/epjd/e2017-70747-0

CrossRef Full Text | Google Scholar

Nina, A., Nico, G., Mitrović, S. T., Čadež, V. M., Milošević, I. R., Radovanović, M., et al. (2021). Quiet ionospheric D-region (QIonDR) model based on VLF/LF observations. Remote Sens. 13, 483. doi:10.3390/rs13030483

CrossRef Full Text | Google Scholar

Nina, A., Nico, G., Odalović, O., Čadež, V., Todorović Drakul, M., Radovanović, M., et al. (2020a). GNSS and SAR signal delay in perturbed ionospheric D-region during solar X-ray flares. IEEE Geosci. Remote Sens. Lett. 17, 1198–1202. doi:10.1109/LGRS.2019.2941643

CrossRef Full Text | Google Scholar

Nina, A., Pulinets, S., Biagi, P., Nico, G., Mitrović, S., Radovanović, M., et al. (2020b). Variation in natural short-period ionospheric noise, and acoustic and gravity waves revealed by the amplitude analysis of a VLF radio signal on the occasion of the Kraljevo earthquake (Mw = 5.4). Sci. Total Environ. 710, 136406. doi:10.1016/j.scitotenv.2019.136406

PubMed Abstract | CrossRef Full Text | Google Scholar

Price, C., Yair, Y., and Asfur, M. (2007). East African lightning as a precursor of Atlantic hurricane activity. Geophys. Res. Lett. 34, L09805. doi:10.1029/2006GL028884

CrossRef Full Text | Google Scholar

Pulinets, S., Ouzounov, D., Karelin, A., and Boyarchuk, K. (2022). Earthquake precursors in the atmosphere and ionosphere: New concepts. Berlin, Heidelberg, Germany: Springer.

Google Scholar

Silber, I., and Price, C. (2017). On the use of VLF narrowband measurements to study the lower ionosphere and the mesosphere–lower thermosphere. Surv. Geophys. 38, 407–441. doi:10.1007/s10712-016-9396-9

CrossRef Full Text | Google Scholar

Simões, F., Pfaff, R., Berthelier, J.-J., and Klenzing, J. (2012). A review of low frequency electromagnetic wave phenomena related to tropospheric-ionospheric coupling mechanisms. Space Sci. Rev. 168, 551–593. doi:10.1007/s11214-011-9854-0

CrossRef Full Text | Google Scholar

Srećković, V., Šulić, D., Vujičić, V., Jevremović, D., and Vyklyuk, Y. (2017). The effects of solar activity: Electrons in the terrestrial lower ionosphere. J. Geogr. Inst. Cvijic 67, 221–233. doi:10.2298/IJGI1703221S

CrossRef Full Text | Google Scholar

Stankov, S., Warnant, R., and Stegen, K. (2009). Trans-ionospheric GPS signal delay gradients observed over mid-latitude Europe during the geomagnetic storms of October–November 2003. Advan. Space Res. 43, 1314–1324. doi:10.1016/j.asr.2008.12.012

CrossRef Full Text | Google Scholar

Su, K., Jin, S., and Hoque, M. M. (2019). Evaluation of ionospheric delay effects on multi-GNSS positioning performance. Remote Sens. 11, 171. doi:10.3390/rs11020171

CrossRef Full Text | Google Scholar

Utada, H., Shimizu, H., Ogawa, T., Maeda, T., Furumura, T., Yamamoto, T., et al. (2011). Geomagnetic field changes in response to the 2011 off the pacific coast of tohoku earthquake and tsunami. Earth Planet. Sc. Lett. 311, 11–27. doi:10.1016/j.epsl.2011.09.036

CrossRef Full Text | Google Scholar

Veronis, G., Pasko, V. P., and Inan, U. S. (1999). Characteristics of mesospheric optical emissions produced by lightning discharges. J. Geophys. Res. 104, 12645–12656. doi:10.1029/1999JA900129

CrossRef Full Text | Google Scholar

Vyklyuk, Y., Radovanović, M., Milovanović, B., Leko, T., Milenković, M., Milošević, Z., et al. (2017). Hurricane Genesis modelling based on the relationship between solar activity and hurricanes. Nat. Hazards 85, 1043–1062. doi:10.1007/s11069-016-2620-6

CrossRef Full Text | Google Scholar

Vyklyuk, Y., Radovanović, M. M., Milovanović, B., Milenković, M., Petrović, M., Doljak, D., et al. (2019). Space weather and hurricanes irma, jose and katia. Astrophys. Space Sci. 364, 154. doi:10.1007/s10509-019-3646-5

CrossRef Full Text | Google Scholar

Keywords: atmospheric disturbances, modelling, in situ measurements, remote sensing, natural disasters, environmental impact assessment, community responses

Citation: Nina A, Milovanović B, Malinović-Milićević S and Pulinets S (2023) Editorial: Atmospheric disturbances: responses to phenomena from lithosphere to outer space. Front. Environ. Sci. 11:1199573. doi: 10.3389/fenvs.2023.1199573

Received: 03 April 2023; Accepted: 02 May 2023;
Published: 09 May 2023.

Edited and reviewed by:

Yongliang Zhang, Johns Hopkins University, United States

Copyright © 2023 Nina, Milovanović, Malinović-Milićević and Pulinets. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Aleksandra Nina, c2FuZHJhc3RAaXBiLmFjLnJz

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.