Articles | Volume 42, issue 1
https://doi.org/10.5194/angeo-42-301-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/angeo-42-301-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Observations of ionospheric disturbances associated with the 2020 Beirut explosion by Defense Meteorological Satellite Program and ground-based ionosondes
Institute for Scientific Research, Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA
Pei-Chen Lai
Institute for Scientific Research, Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA
Related authors
Jiyo Harjosuwito, Asnawi Husin, Varuliantor Dear, Johan Muhamad, Agri Faturahman, Afrizal Bahar, Erlansyah, Agung Syetiawan, and Rezy Pradipta
Ann. Geophys., 41, 147–172, https://doi.org/10.5194/angeo-41-147-2023, https://doi.org/10.5194/angeo-41-147-2023, 2023
Short summary
Short summary
An annular solar eclipse passed over Southeast Asia on 26 December 2019. The passage of an eclipse can cause observable effects on the Earth's ionosphere. Studying these effects may help us build a better understanding of the Earth's upper atmosphere and the geospace environment. Taking advantage of the growing network of GPS receivers and existing ionosondes in the region, we examined changes in the low-latitude ionosphere over Southeast Asia during this solar eclipse.
Jiyo Harjosuwito, Asnawi Husin, Varuliantor Dear, Johan Muhamad, Agri Faturahman, Afrizal Bahar, Erlansyah, Agung Syetiawan, and Rezy Pradipta
Ann. Geophys., 41, 147–172, https://doi.org/10.5194/angeo-41-147-2023, https://doi.org/10.5194/angeo-41-147-2023, 2023
Short summary
Short summary
An annular solar eclipse passed over Southeast Asia on 26 December 2019. The passage of an eclipse can cause observable effects on the Earth's ionosphere. Studying these effects may help us build a better understanding of the Earth's upper atmosphere and the geospace environment. Taking advantage of the growing network of GPS receivers and existing ionosondes in the region, we examined changes in the low-latitude ionosphere over Southeast Asia during this solar eclipse.
Related subject area
Subject: Earth's ionosphere & aeronomy | Keywords: Ionospheric disturbances
Effects of the super-powerful tropospheric western Pacific phenomenon of September–October 2018 on the ionosphere over China: results from oblique sounding
Ionospheric effects of the 5–6 January 2019 eclipse over the People's Republic of China: results from oblique sounding
Study of the equatorial and low-latitude total electron content response to plasma bubbles during solar cycle 24–25 over the Brazilian region using a Disturbance Ionosphere indeX
Diagnostic study of geomagnetic storm-induced ionospheric changes over very low-frequency signal propagation paths in the mid-latitude D region
Complex analysis of the ionosphere variations during the geomagnetic storm at 20 January 2010 performed by Detection of Ionosphere Anomalies (DIA) software and DEMETER satellite data
Dynamic processes in the magnetic field and in the ionosphere during the 30 August–2 September 2019 geospace storm: influence on high frequency radio wave characteristics
Tomographic imaging of a large-scale travelling ionospheric disturbance during the Halloween storm of 2003
Ionospheric anomalies associated with the Mw 7.3 Iran–Iraq border earthquake and a moderate magnetic storm
Model of the propagation of very low-frequency beams in the Earth–ionosphere waveguide: principles of the tensor impedance method in multi-layered gyrotropic waveguides
Strong influence of solar X-ray flares on low-frequency electromagnetic signals in middle latitudes
A case study of the large-scale traveling ionospheric disturbances in the eastern Asian sector during the 2015 St. Patrick's Day geomagnetic storm
Geomagnetic conjugate observations of ionospheric disturbances in response to a North Korean underground nuclear explosion on 3 September 2017
Emergence of a localized total electron content enhancement during the severe geomagnetic storm of 8 September 2017
Mitigation of ionospheric signatures in Swarm GPS gravity field estimation using weighting strategies
PPP-based Swarm kinematic orbit determination
Impact of magnetic storms on the global TEC distribution
Leonid F. Chernogor, Kostiantyn P. Garmash, Qiang Guo, Victor T. Rozumenko, and Yu Zheng
Ann. Geophys., 41, 173–195, https://doi.org/10.5194/angeo-41-173-2023, https://doi.org/10.5194/angeo-41-173-2023, 2023
Short summary
Short summary
The receiver at the Harbin Engineering University and eight surrounding HF broadcast stations ~1000 km observed the response in the ionospheric electron density to the activity of Typhoon Kong-rey (30 September–6 October 2018). On 1–2 and 5–6 October 2018, the 20 min to 60 min period quasi-sinusoidal variations in the electron density with an amplitude of 0.4 % to 6 % resulted in 0.1 Hz to 0.5 Hz amplitude Doppler shift variations, a factor of 2–3 increase as compared to a quiet time reference.
Leonid F. Chernogor, Kostyantyn P. Garmash, Qiang Guo, Victor T. Rozumenko, and Yu Zheng
Ann. Geophys., 40, 585–603, https://doi.org/10.5194/angeo-40-585-2022, https://doi.org/10.5194/angeo-40-585-2022, 2022
Short summary
Short summary
The solar eclipse of 5–6 January 2019 perturbed the ionospheric electron density, N, observed with the receiver at the Harbin Engineering University and 14 HF broadcasting stations ~1 000 km around. It was accompanied by ±1.5 Hz Doppler-spectrum broadening, ±0.5 Hz Doppler shift, fD, variations, 15 min period variations in fD caused by 1.6–2.4 % perturbations in N, and period changes of 4–5 min in fD caused by 0.2–0.3 % disturbances in N. The decrease in N attained ~15 % (vs. modeled 16 %).
Giorgio Arlan Silva Picanço, Clezio Marcos Denardini, Paulo Alexandre Bronzato Nogueira, Laysa Cristina Araujo Resende, Carolina Sousa Carmo, Sony Su Chen, Paulo França Barbosa-Neto, and Esmeralda Romero-Hernandez
Ann. Geophys., 40, 503–517, https://doi.org/10.5194/angeo-40-503-2022, https://doi.org/10.5194/angeo-40-503-2022, 2022
Short summary
Short summary
In this work, we use the Disturbance Ionosphere indeX (DIX) to study equatorial plasma bubble (EPB) events over the Brazilian equatorial and low latitudes. Our results showed that the DIX detected EPB disturbances in terms of their intensity and occurrence times. Therefore, these responses agreed with the ionosphere behavior before, during, and after the studied EPBs. Finally, these disturbances tended to be higher (lower) in high (low) solar activity.
Victor U. J. Nwankwo, William Denig, Sandip K. Chakrabarti, Olugbenga Ogunmodimu, Muyiwa P. Ajakaiye, Johnson O. Fatokun, Paul I. Anekwe, Omodara E. Obisesan, Olufemi E. Oyanameh, and Oluwaseun V. Fatoye
Ann. Geophys., 40, 433–461, https://doi.org/10.5194/angeo-40-433-2022, https://doi.org/10.5194/angeo-40-433-2022, 2022
Short summary
Short summary
We combined the observed diurnal VLF amplitude variation in the D region with standard measurements of the E and F regions to perform a diagnostic investigation of coupled geomagnetic storm effects in order to understand the observed storm-induced variations in VLF narrowband based on state and responses of the ionosphere. The dayside VLF amplitude showed a tendency for attenuation following geomagnetic storms, and the h’E and h’F variations confirmed strong storm response over the signal paths.
Anatoliy Lozbin, Viktor Fedun, and Olga Kryakunova
Ann. Geophys., 40, 55–65, https://doi.org/10.5194/angeo-40-55-2022, https://doi.org/10.5194/angeo-40-55-2022, 2022
Short summary
Short summary
Detection of Ionosphere Anomalies (DIA) for detection, identification, and analysis of ionosphere anomalies from satellite spectrograms and time series row data from instruments onboard the DEMETER satellite was designed. Using this software, the analyses of ionosphere parameter variations caused by various factors are provided. The scientific data processing and visualization technologies used in the development of DIA can be used in the creation of software for other scientific space missions.
Yiyang Luo, Leonid Chernogor, Kostiantyn Garmash, Qiang Guo, Victor Rozumenko, and Yu Zheng
Ann. Geophys., 39, 657–685, https://doi.org/10.5194/angeo-39-657-2021, https://doi.org/10.5194/angeo-39-657-2021, 2021
Short summary
Short summary
The 30 August–2 September 2019 geospace storm and its influence on the characteristics of high frequency radio waves over the People's Republic of China have been analyzed. The geospace storm was weak, the magnetic storm was moderate, and the ionospheric storm was moderate to strongly negative, which manifested itself by the reduction in the ionospheric F-region electron density. Appreciable disturbances were also observed to occur in the ionospheric E-region and possibly in the Es layer.
Karl Bolmgren, Cathryn Mitchell, Talini Pinto Jayawardena, Gary Bust, Jon Bruno, and Elizabeth Mitchell
Ann. Geophys., 38, 1149–1157, https://doi.org/10.5194/angeo-38-1149-2020, https://doi.org/10.5194/angeo-38-1149-2020, 2020
Short summary
Short summary
Travelling ionospheric disturbances behave like waves in the ionosphere, the ionised upper part of the atmosphere. In this study, we use an ionospheric tomography technique to map the electron content as affected by the passage of a large-scale travelling ionospheric disturbance launched during the largest geomagnetic storm observed by modern instruments. This is the first such imaging using this software and to the authors' knowledge the first study of this travelling ionospheric disturbance.
Erman Şentürk, Samed Inyurt, and İbrahim Sertçelik
Ann. Geophys., 38, 1031–1043, https://doi.org/10.5194/angeo-38-1031-2020, https://doi.org/10.5194/angeo-38-1031-2020, 2020
Short summary
Short summary
The analysis of unexpected ionospheric phases before large earthquakes is one of the cutting-edge issues in earthquake prediction studies. Ionospheric TEC data were analyzed by short-time Fourier transform and a classic running median to detect abnormalities before the Mw 7.3 Iran–Iraq earthquake on November 12, 2017. The results showed clear positive anomalies 8–9 d before the earthquake as an earthquake precursor due to quiet space weather, local dispersion, and proximity to the epicenter.
Yuriy Rapoport, Vladimir Grimalsky, Viktor Fedun, Oleksiy Agapitov, John Bonnell, Asen Grytsai, Gennadi Milinevsky, Alex Liashchuk, Alexander Rozhnoi, Maria Solovieva, and Andrey Gulin
Ann. Geophys., 38, 207–230, https://doi.org/10.5194/angeo-38-207-2020, https://doi.org/10.5194/angeo-38-207-2020, 2020
Short summary
Short summary
The paper analytically and numerically treats the new theoretical basis for ground-based and satellite monitoring of the most powerful processes in the lower atmosphere and Earth (hurricanes, earthquakes, etc.), solar-wind magnetosphere (magnetic storms) and ionosphere (lightning discharges, thunderstorms, etc.). This can be provided by the determination of phases and amplitudes of radio waves in the Earth and ionosphere. In perspective, damage from the natural disasters can be decreased.
Alexander Rozhnoi, Maria Solovieva, Viktor Fedun, Peter Gallagher, Joseph McCauley, Mohammed Y. Boudjada, Sergiy Shelyag, and Hans U. Eichelberger
Ann. Geophys., 37, 843–850, https://doi.org/10.5194/angeo-37-843-2019, https://doi.org/10.5194/angeo-37-843-2019, 2019
Jing Liu, Dong-He Zhang, Anthea J. Coster, Shun-Rong Zhang, Guan-Yi Ma, Yong-Qiang Hao, and Zuo Xiao
Ann. Geophys., 37, 673–687, https://doi.org/10.5194/angeo-37-673-2019, https://doi.org/10.5194/angeo-37-673-2019, 2019
Yi Liu, Chen Zhou, Qiong Tang, Guanyi Chen, and Zhengyu Zhao
Ann. Geophys., 37, 337–345, https://doi.org/10.5194/angeo-37-337-2019, https://doi.org/10.5194/angeo-37-337-2019, 2019
Short summary
Short summary
Underground nuclear explosion (UNE) can produce ionospheric disturbances through a lithosphere–atmosphere–ionosphere coupling mechanism, which is very similar with earthquakes. By using the total electron content observations and Swarm ionospheric current data, we have investigated the geomagnetic conjugate ionospheric disturbances. We proposed that the electric field generated during the UNE test can be an important mechanism for ionospheric disturbance.
Carlos Sotomayor-Beltran and Laberiano Andrade-Arenas
Ann. Geophys., 37, 153–161, https://doi.org/10.5194/angeo-37-153-2019, https://doi.org/10.5194/angeo-37-153-2019, 2019
Short summary
Short summary
A localized total electron content enhancement (LTE) was observed as a product of the geomagnetic storm that happened on 8 September 2017. This result was unexpected because it was located south of the equatorial ionization anomaly (EIA). The origin of the enhancement of the TEC in the EIA is very likely due to the super-fountain effect. On the other hand, the LTE is suggested to be produced by the contribution of the super-fountain effect along with traveling ionospheric disturbances.
Lucas Schreiter, Daniel Arnold, Veerle Sterken, and Adrian Jäggi
Ann. Geophys., 37, 111–127, https://doi.org/10.5194/angeo-37-111-2019, https://doi.org/10.5194/angeo-37-111-2019, 2019
Short summary
Short summary
Comparing Swarm GPS-only gravity fields to the ultra-precise GRACE K-Band gravity field schematic errors occurs around the geomagnetic equator. Due to the end of the GRACE mission, and the gap to the GRACE-FO mission, only Swarm can provide a continuous time series of gravity fields. We present different and assess different approaches to remove the schematic errors and thus improve the quality of the Swarm gravity fields.
Le Ren and Steffen Schön
Ann. Geophys., 36, 1227–1241, https://doi.org/10.5194/angeo-36-1227-2018, https://doi.org/10.5194/angeo-36-1227-2018, 2018
Short summary
Short summary
In this contribution, we analyse the performance of the Swarm onboard GPS receiver and present the approach for determination of the IfE Swarm kinematic orbit with PPP. The differences between our kinematic orbits and ESA reduced-dynamic orbits are at 1.5 cm, 1.5 cm and 2.5 cm level in along-track, cross-track and radial directions, respectively. A comparison with SLR underlines an accuracy of the kinematic orbits of 3–4 cm.
Donat V. Blagoveshchensky, Olga A. Maltseva, and Maria A. Sergeeva
Ann. Geophys., 36, 1057–1071, https://doi.org/10.5194/angeo-36-1057-2018, https://doi.org/10.5194/angeo-36-1057-2018, 2018
Cited articles
Belehaki, A., Tsagouri, I., Altadill, D., Blanch, E., Borries, C., Buresova, D., Chum, J., Galkin, I., Juan, J. M., Segarra, A., Camilo Timoté, C., Tziotziou, K., Verhulst, T. G. W., and Watermann, J.: An overview of methodologies for real-time detection, characterisation and tracking of traveling ionospheric disturbances developed in the TechTIDE project, J. Space Weather Space Clim., 10, 42, https://doi.org/10.1051/swsc/2020043, 2020. a
Boyde, B., Wood, A., Dorrian, G., Fallows, R. A., Themens, D., Mielich, J., Elvidge, S., Mevius, M., Zucca, P., Dabrowski, B., Krankowski, A., Vocks, C., and Bisi, M.: Lensing from small-scale travelling ionospheric disturbances observed using LOFAR, J. Space Weather Space Clim., 12, 34, https://doi.org/10.1051/swsc/2022030, 2022. a
Burke, W. J., Gentile, L. C., Huang, C. Y., Valladares, C. E., and Su, S. Y.: Longitudinal variability of equatorial plasma bubbles observed by DMSP and ROCSAT-1, J. Geophys. Res., 109, A12301, https://doi.org/10.1029/2004JA010583, 2004. a
Cervera, M. A. and Harris, T. J.: Modeling ionospheric disturbance features in quasi-vertically incident ionograms using 3-D magnetoionic ray tracing and atmospheric gravity waves, J. Geophys. Res.-Space, 119, 431–440, https://doi.org/10.1002/2013JA019247, 2014. a
Cheng, K. and Huang, Y.-N.: Ionospheric disturbances observed during the period of Mount Pinatubo eruptions in June 1991, J. Geophys. Res., 97, 16995–17004, https://doi.org/10.1029/92JA01462, 1992. a
Chernogor, L. F.: Ionospheric effects of the Chelyabinsk meteoroid, Geomagn. Aeron., 55, 353–368, https://doi.org/10.1134/S0016793215030044, 2015. a
Chou, M.-Y., Lin, C. C. H., Shen, M.-H., Yue, J., Huba, J. D., and Chen, C.-H.: Ionospheric disturbances triggered by SpaceX Falcon Heavy, Geophys. Res. Lett., 45, 6334–6342, https://doi.org/10.1029/2018GL078088, 2018. a
Chou, M.-Y., Cherniak, I., Lin, C. C. H., and Pedatella, N. M.: The persistent ionospheric responses over Japan after the impact of the 2011 Tohoku earthquake, Space Weather, 18, e2019SW002302, https://doi.org/10.1029/2019SW002302, 2020. a
Diaz, J. S.: Explosion analysis from images: Trinity and Beirut, Eur. J. Phys., 42, 035803, https://doi.org/10.1088/1361-6404/abe131, 2021. a
Dodson, H. W. and Hedeman, E. R.: Experimental comprehensive solar flare indices for certain flares, 1970–1974, Report UAG 52, World Data Center A for Solar-Terrestrial Physics, https://repository.library.noaa.gov/view/noaa/1011 (last access: 14 June 2024), 1975. a
Fedorenko, Y. P., Fedorenko, V., and Lysenko, V.: Parameters of the medium-scale traveling ionospheric disturbances model deduced from measurements, Geomag. Aeron., 51, 88–104, https://doi.org/10.1134/S0016793210061015, 2011. a
Fiori, R. A. D., Trichtchenko, L., Balch, C., Spanswick, E., and Groleau, S.: Characterizing auroral-zone absorption based on global Kp and regional geomagnetic hourly range indices, Space Weather, 18, e2020SW002572, https://doi.org/10.1029/2020SW002572, 2020. a
Fitzgerald, T. J. and Carlos, R. C.: Effects of 450-kg surface explosions on HF radio reflection from the E layer, Radio Sci., 32, 169–180, https://doi.org/10.1029/96RS02989, 1997. a
Galkin, I. (Global Ionosphere Radio Observatory, University of Massachusetts Lowell): Digital Ionogram Database [data set], https://giro.uml.edu/, last access: 14 June 2024. a
Galushko, V. G., Kascheev, A. S., Paznukhov, V. V., Yampolski, Y. M., and Reinisch, B. W.: Frequency-and-angular sounding of traveling ionospheric disturbances in the model of three-dimensional electron density waves, Radio Sci., 43, RS4013, https://doi.org/10.1029/2007RS003735, 2008. a
Guglielmi, G.: Why Beirut's ammonium nitrate blast was so devastating, Nature, Springer, https://doi.org/10.1038/d41586-020-02361-x, 2020. a
Habarulema, J. B., Katamzi, Z. T., and McKinnell, L.-A.: Estimating the propagation characteristics of large-scale traveling ionospheric disturbances using ground-based and satellite data, J. Geophys. Res.-Space, 118, 7768–7782, https://doi.org/10.1002/2013JA018997, 2013. a
Heisler, L. H.: Anomalies in Ionosonde Records Due to Travelling Ionospheric Disturbances, Aust. J. Phys., 11, 79–90, https://doi.org/10.1071/PH580079, 1958. a, b
Hines, C. O.: Internal atmospheric gravity waves at ionospheric heights, Can. J. Phys., 38, 1441–1481, 1960. a
Hooke, W. H.: Ionospheric irregularities produced by internal atmospheric gravity waves, J. Atmos. Terr. Phys., 30, 795, https://doi.org/10.1016/S0021-9169(68)80033-9, 1968. a
Huang, X., Reinisch, B. W., Sales, G. S., Paznukhov, V. V., and Galkin, I. A.: Comparing TID simulations using 3-D ray tracing and mirror reflection, Radio Sci., 51, 337–343, https://doi.org/10.1002/2015RS005872, 2016. a
Huang, C. Y., Helmboldt, J. F., Park, J., Pedersen, T. R., and Willemann, R.: Ionospheric Detection of Explosive Events, Rev. Geophys., 57, 78–105, https://doi.org/10.1029/2017RG000594, 2019. a
Hunsucker, R. D.: Atmospheric gravity waves generated in the high-latitude ionosphere: A review, Rev. Geophys., 20, 293–315, https://doi.org/10.1029/RG020i002p00293, 1982. a
Ivanova, V., Kurkin, V., Polekh, N., Chistyakova, L., Brynko, I., Chuyev, V., Dumbrava, Z., and Poddelskii, I.: Studying large-scale traveling ionospheric disturbances according to the data of oblique-incidence sounding, Geomag. Aeron., 51, 1101–1104, https://doi.org/10.1134/S0016793211080196, 2011. a
Jonah, O. F., Coster, A., Zhang, S., Goncharenko, L., Erickson, P. J., de Paula, E. R., and Kherani, E. A.: TID observations and source analysis during the 2017 Memorial Day weekend geomagnetic storm over North America, J. Geophys. Res.-Space, 123, 8749–8765, https://doi.org/10.1029/2018JA025367, 2018. a
Jones, T. B. and Spracklen, C. T.: Ionospheric effects of the Flixborough explosion, Nature, 250, 719–720, https://doi.org/10.1038/250719a0, 1974. a
Kandilli Observatory and Earthquake Research Institute at the Bogazici University: Solar Flare Index, NOAA National Geophysical Data Center (NGDC), https://www.ngdc.noaa.gov/stp/space-weather/solar-data/solar-features/solar-flares/index/ last access: 14 June 2024. a
Klausner, V., Fagundes, P. R., Sahai, Y., Wrasse, C. M., Pillat, V. G., and Becker-Guedes, F.: Observations of GW/TID oscillations in the F2 layer at low latitude during high and low solar activity, geomagnetic quiet and disturbed periods, J. Geophys. Res., 114, A02313, https://doi.org/10.1029/2008JA013448, 2009. a
Kleine, H., Dewey, J., Ohashi, K., Mizukaki, T., and Takayama, K.: Studies of the TNT equivalence of silver azide charges, Shock Waves 13, 123–138, https://doi.org/10.1007/s00193-003-0204-3, 2003. a
Krasnov, V., Drobzheva, Y. V., Venart, J., and Lastovicka, J.: A re-analysis of the atmospheric and ionospheric effects of the Flixborough explosion, J. Atmos. Sol.-Terr. Phy., 65, 1205–1212, https://doi.org/10.1016/j.jastp.2003.07.010, 2003. a
Lee, M. C., Pradipta, R., Burke, W. J., Labno, A., Burton, L. M., Cohen, J. A., Dorfman, S. E., Coster, A. J., Sulzer, M. P., and Kuo, S. P.: Did Tsunami-Launched Gravity Waves Trigger Ionospheric Turbulence over Arecibo?, J. Geophys. Res., 113, A01302, https://doi.org/10.1029/2007JA012615, 2008. a
Liu, H., Ding, F., Yue, X., Zhao, B., Song, Q., Wan, W., Ning, B., and Zhang, K.: Depletion and traveling ionospheric disturbances generated by two launches of China's Long March 4B rocket, J. Geophys. Res.-Space, 123, 10319–10330, https://doi.org/10.1029/2018JA026096, 2018. a
Medici, E. F. and Waite, G. P.: Experimental laboratory study on the formation of multiple shock waves observed during volcanic eruptions, Geophys. Res. Lett., 43, 85–92, https://doi.org/10.1002/2015GL066426, 2016. a
Munro, G. H.: Travelling disturbances in the ionosphere, P. R. Soc. Lond. A, 202, 208–223, https://doi.org/10.1098/rspa.1950.0095, 1950. a, b
Munro, G. H.: Reflexions from irregularities in the ionosphere, P. R. Soc. Lond. A, 219, 447–463, https://doi.org/10.1098/rspa.1953.0159, 1953. a, b, c
Nicolls, M. J., Kelley, M. C., Coster, A. J., Gonzalez, S. A., and Makela, J. J.: Imaging the structure of a large-scale TID using ISR and TEC data, Geophys. Res. Lett., 31, L09812, https://doi.org/10.1029/2004GL019797, 2004. a
Nishioka, M., Tsugawa, T., Kubota, M., and Ishii, M.: Concentric waves and short-period oscillations observed in the ionosphere after the 2013 Moore EF5 tornado, Geophys. Res. Lett., 40, 5581–5586, https://doi.org/10.1002/2013GL057963, 2013. a
Papitashvili, N. E. and King, J. H.: OMNI Hourly Data, NASA Space Physics Data Facility [data set], https://doi.org/10.48322/1shr-ht18, 2020. a
Park, J., von Frese, R. R. B., Grejner-Brzezinska, D. A., Morton, Y., and Gaya-Pique, L. R.: Ionospheric detection of the 25 May 2009 North Korean underground nuclear test, Geophys. Res. Lett., 38, L22802, https://doi.org/10.1029/2011GL049430, 2011. a
Perevalova, N. P., Shestakov, N. V., Voeykov, S. V., Takahashi, H., and Guojie, M.: Ionospheric disturbances in the vicinity of the Chelyabinsk meteoroid explosive disruption as inferred from dense GPS observations, Geophys. Res. Lett., 42, 6535–6543, https://doi.org/10.1002/2015GL064792, 2015. a
Pilger C., Gaebler, P., Hupe, P., Kalia, A. C., Schneider, F. M., Steinberg, A., Sudhaus, H., and Ceranna, L.: Yield estimation of the 2020 Beirut explosion using open access waveform and remote sensing data, Sci. Rep., 11, 14144, https://doi.org/10.1038/s41598-021-93690-y, 2021. a, b, c, d
Pradipta, R., Valladares, C. E., and Doherty, P. H.: Ionosonde observations of ionospheric disturbances due to the 15 February 2013 Chelyabinsk meteor explosion, J. Geophys. Res.-Space, 120, 9988–9997, https://doi.org/10.1002/2015JA021767, 2015. a
Pradipta, R., Valladares, C. E., Carter, B. A., and Doherty, P. H.: Interhemispheric propagation and interactions of auroral traveling ionospheric disturbances near the equator, J. Geophys. Res.-Space, 121, 2462–2474, https://doi.org/10.1002/2015JA022043, 2016. a
Pradipta, R., Carter, B. A., Currie, J. L., Choy, S., Wilkinson, P., Maher, P., and Marshall, R.: On the propagation of traveling ionospheric disturbances from the Hunga Tonga-Hunga Ha'apai volcano eruption and their possible connection with tsunami waves, Geophys. Res. Lett., 50, e2022GL101925, https://doi.org/10.1029/2022GL101925, 2023. a
Rideout, W.: CEDAR Madrigal Database [data set], http://cedar.openmadrigal.org/, last access: 14 June 2024. a
Rigby, S. E., Lodge, T. J., Alotaibi, S., Barr, A. D., Clarke, S. D., Langdon, G. S., and Tyas, A.: Preliminary yield estimation of the 2020 Beirut explosion using video footage from social media, Shock Waves 30, 671–675, https://doi.org/10.1007/s00193-020-00970-z, 2020. a
Sigernes, F., Dyrland, M., Brekke, P., Chernouss, S., Lorentzen, D. A., Oksavik, K., and Deehr, C. S.: Two methods to forecast auroral displays, J. Space Weather Space Clim., 1, A03, https://doi.org/10.1051/swsc/2011003, 2011. a
Singhvi, A., Reinhard, S., McCann, A., Leatherby, L., and Migliozzi, B.: Mapping the Damage From the Beirut Explosion, The New York Times, https://www.nytimes.com/interactive/2020/08/04/world/middleeast/beirut-explosion-damage.html (last access: 14 June 2024), 2020. a
Starkov, G. V.: Mathematical model of the auroral boundaries, Geomag. Aeron., 34, 331–336, 1994. a
Takahashi, H., Figueiredo, C. A. O. B., Barros, D., Wrasse, C. M., Giongo, G. A., Honda, R. H., Vital, L. F. R., Resende, L. C. A., Nyassor, P. K., Ayorinde, T. T., Carmo, C. S., Padua, M. B., and Otsuka, Y.: Ionospheric disturbances over South America related to Tonga volcanic eruption, Earth Planets Space, 75, 92, https://doi.org/10.1186/s40623-023-01844-1, 2023. a
Themens, D. R., Watson, C., Zagar, N., Vasylkevych, S., Elvidge, S., McCaffrey, A., Prikryl, P., Reid, B., Wood, A., Jayachandran, P. T.: Global propagation of ionospheric disturbances associated with the 2022 Tonga volcanic eruption, Geophys. Res. Lett., 49, e2022GL098158, https://doi.org/10.1029/2022GL098158, 2022. a
Tsugawa, T., Saito, A., Otsuka, Y., Nishioka, M., Maruyama, T., Kato, H., Nagatsuma, T., and Murata, K. T.: Ionospheric disturbances detected by GPS total electron content observation after the 2011 off the Pacific coast of Tohoku Earthquake, Earth Planet Sp, 63, 66, https://doi.org/10.5047/eps.2011.06.035, 2011. a
Tu, J., Song, P., and Vasyliunas, V. M.: Ionosphere/thermosphere heating determined from dynamic magnetosphere‐ionosphere/thermosphere coupling, J. Geophys. Res., 116, A09311, https://doi.org/10.1029/2011JA016620, 2011. a
World Bank: Beirut Rapid Damage and Needs Assessment (RDNA), World Bank Group, https://www.worldbank.org/en/country/lebanon/publication/beirut-rapid-damage-and-needs-assessment-rdna---august-2020 (last access: 14 June 2024), 2020. a
Yang, Y.-M., Komjathy, A., Langley, R. B., Vergados, P., Butala, M. D., and Mannucci, A. J.: The 2013 Chelyabinsk meteor ionospheric impact studied using GPS measurements, Radio Sci., 49, 341–350, https://doi.org/10.1002/2013RS005344, 2014. a
Yigit, E. and Medvedev, A. S.: Internal wave coupling processes in Earth's atmosphere, Adv. Space Res., 55, 983–1003, https://doi.org/10.1016/j.asr.2014.11.020, 2015. a
Zhang, S.-R., Coster, A. J., Erickson, P. J., Goncharenko, L. P., Rideout, W., and Vierinen, J.: Traveling ionospheric disturbances and ionospheric perturbations associated with solar flares in September 2017, J. Geophys. Res.-Space, 124, 5894–5917, https://doi.org/10.1029/2019JA026585, 2019. a
Zhang, X., Ren, X., Chen, J., Zuo, X., Mei, D., and Liu, W.: Investigating GNSS PPP–RTK with external ionospheric constraints, Satell. Navig., 3, 6, https://doi.org/10.1186/s43020-022-00067-1, 2022. a
Zakharenkova, I., Astafyeva, E., and Cherniak, I.: GPS and GLONASS observations of large-scale traveling ionospheric disturbances during the 2015 St. Patrick's Day storm, J. Geophys. Res.-Space, 121, 12138–12156, https://doi.org/10.1002/2016JA023332, 2016. a
Short summary
A large explosion released a significant amount of energy into the Earth's upper atmosphere in Beirut on 4 Aug 2020, generating traveling ionospheric disturbances (TIDs). These TIDs were observed in previous work using GPS total electron content measurements around Beirut. Here, we used measurements from the Defense Meteorological Satellite Program and ionosondes in the Mediterranean to show that the TIDs from the Beirut explosion were able to reach greater distances than previously reported.
A large explosion released a significant amount of energy into the Earth's upper atmosphere in...