Articles | Volume 37, issue 4
https://doi.org/10.5194/angeo-37-673-2019
© Author(s) 2019. 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-37-673-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A case study of the large-scale traveling ionospheric disturbances in the eastern Asian sector during the 2015 St. Patrick's Day geomagnetic storm
Department of Geophysics, Peking University, Beijing 100871, China
Dong-He Zhang
CORRESPONDING AUTHOR
Department of Geophysics, Peking University, Beijing 100871, China
Anthea J. Coster
MIT Haystack Observatory, Westford, Massachusetts, USA
Shun-Rong Zhang
MIT Haystack Observatory, Westford, Massachusetts, USA
Guan-Yi Ma
National Astronomical Observatories, Chinese Academy of Sciences,
Beijing 100101, China
Yong-Qiang Hao
Department of Geophysics, Peking University, Beijing 100871, China
Zuo Xiao
Department of Geophysics, Peking University, Beijing 100871, China
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EGUsphere, https://doi.org/10.5194/egusphere-2024-2383, https://doi.org/10.5194/egusphere-2024-2383, 2024
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Traveling Ionospheric Disturbances (TIDs) are manifestations of atmospheric waves that are significant for transfer of energy and momentum between atmospheric layers and regions. This work demonstrates that velocities and directions of TIDs can be measured by monitoring the tiny shift in frequency of AM radio signals when they reflect from a moving ionosphere, and that this method can be scaled to use large numbers of radio receivers and transmitters to monitor TIDs on a continental scale.
Luke A. Jenner, Alan G. Wood, Gareth D. Dorrian, Kjellmar Oksavik, Timothy K. Yeoman, Alexandra R. Fogg, and Anthea J. Coster
Ann. Geophys., 38, 575–590, https://doi.org/10.5194/angeo-38-575-2020, https://doi.org/10.5194/angeo-38-575-2020, 2020
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The boundary of regions with a plasma density much lower than background was investigated in the northern polar cap using observations of ionospheric plasma density. Similar regions with an above-background density have been linked to fluctuations in phase and amplitude in radio waves traversing the density gradient at their boundary. These fluctuations were absent through the gradient in the below-background regions; thus, a minimum of both density and gradient are required for scintillation.
Xiaohua Mo and Donghe Zhang
Ann. Geophys., 38, 9–16, https://doi.org/10.5194/angeo-38-9-2020, https://doi.org/10.5194/angeo-38-9-2020, 2020
Juha Vierinen, Anthea J. Coster, William C. Rideout, Philip J. Erickson, and Johannes Norberg
Atmos. Meas. Tech., 9, 1303–1312, https://doi.org/10.5194/amt-9-1303-2016, https://doi.org/10.5194/amt-9-1303-2016, 2016
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We present a statistical framework for estimating GNSS receiver bias by using a weighted linear least squares of independent differences (WLLSID) model to examine differences of a large number of TEC measurements. This allows a consistent way for treating elevation-dependent model errors and spatiotemporal distance-dependent geophysical differences arising in ionospheric GNSS measurements. The method is also applicable to other GNSS system than GPS, supporting, e.g., GLONASS.
Y. Q. Hao, H. Shi, Z. Xiao, and D. H. Zhang
Ann. Geophys., 32, 809–816, https://doi.org/10.5194/angeo-32-809-2014, https://doi.org/10.5194/angeo-32-809-2014, 2014
X. H. Mo, D. H. Zhang, L. P. Goncharenko, Y. Q. Hao, and Z. Xiao
Ann. Geophys., 32, 121–131, https://doi.org/10.5194/angeo-32-121-2014, https://doi.org/10.5194/angeo-32-121-2014, 2014
Related subject area
Subject: Earth's ionosphere & aeronomy | Keywords: Ionospheric disturbances
Observations of ionospheric disturbances associated with the 2020 Beirut explosion by Defense Meteorological Satellite Program and ground-based ionosondes
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
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
Rezy Pradipta and Pei-Chen Lai
Ann. Geophys., 42, 301–312, https://doi.org/10.5194/angeo-42-301-2024, https://doi.org/10.5194/angeo-42-301-2024, 2024
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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.
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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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
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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
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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
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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
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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
Afraimovich, E. L.: GPS global detection of the ionospheric response to solar flares, Radio Sci., 35, 1417–1424, 2000.
Afraimovich, E. L., Palamartchouk, K. S., and Perevalova, N. P.: GPS radio
interferometry of travelling ionospheric disturbances, J.
Atmos. Sol.-Terr. Phy., 60, 1205–1223, 1998.
Afraimovich, E. L., Kosogorov, E. A., Leonovich, L. A., Palamartchouk, K.
S., Perevalova, N. P., and Pirog, O. M.: Determining parameters of
large-scale traveling ionospheric disturbances of auroral origin using
GPS-arrays, J. Atmos. Sol.-Terr. Phy., 62,
553–565, 2000.
Astafyeva, E., Zakharenkova, I., and Förster, M.: Ionospheric response
to the 2015 St. Patrick's Day storm: A global multi-instrumental
overview, J. Geophys. Res.-Space, 120,
9023–9037, 2015.
Balthazor, R. L. and Moffett, R. J.: Morphology of large-scale traveling
atmospheric disturbances in the polar thermosphere, J. Geophys.
Res.-Space, 104, 15–24, 1999.
Borries, C., Jakowski, N., and Wilken, V.: Storm induced large scale TIDs observed in GPS derived TEC, Ann. Geophys., 27, 1605–1612, https://doi.org/10.5194/angeo-27-1605-2009, 2009.
Borries, C., Mahrous, A. M., Ellahouny, N. M., and Badeke, R.: Multiple
ionospheric perturbations during the Saint Patrick's Day storm 2015 in the
European-African sector, J. Geophys. Res.-Space,
121, 11333–11345, 2016.
Borries, C., Jakowski, N., Kauristie, K., Amm, O., Mielich, J., and Kouba,
D.: On the dynamics of large-scale traveling ionospheric disturbances over
Europe on 20 November 2003, J. Geophys. Res.-Space, 122, 1199–1211, 2017.
Buonsanto, M. J.: Ionospheric storms – A review, Space Sci.
Rev., 88, 563–601, 1999.
Cherniak, I. and Zakharenkova, I.: Large-Scale Traveling Ionospheric
Disturbances Origin and Propagation: Case Study of the December 2015
Geomagnetic Storm, Space Weather, 16, 1377–1395, 2018.
Chimonas, G.: The equatorial electrojet as a source of long period
travelling ionospheric disturbances, Planet. Space Sci., 18,
583–589, 1970.
Coster, A. J. and Gaposchkin, E. M.: Use of GPS pseudo-range and phase data
for measurement of ionospheric and tropospheric refraction, in: Institute of
Navigation Satellite Division, 2nd International Technical Meeting,
439–443, 1989.
Ding, F., Wan, W., Ning, B., and Wang, M.: Large-scale traveling ionospheric
disturbances observed by GPS total electron content during the magnetic
storm of 29–30 October 2003, J. Geophys. Res.-Space, 112, A06309, https://doi.org/10.1029/2006JA012013, 2007.
Ding, F., Wan, W., Liu, L., Afraimovich, E. L., Voeykov, S. V., and
Perevalova, N. P.: A statistical study of large-scale traveling ionospheric
disturbances observed by GPS TEC during major magnetic storms over the years
2003–2005, J. Geophys. Res.-Space, 113, A00A01, https://doi.org/10.1029/2008JA013037, 2008.
Ding, F., Wan, W., Ning, B., Zhao, B., Li, Q., Zhang, R., Xiong, B., and
Song, Q.: Two-dimensional imaging of large-scale traveling ionospheric
disturbances over China based on GPS data, J. Geophys. Res.-Space, 117, A08318, https://doi.org/10.1029/2012JA017546, 2012.
Ding, F., Wan, W., Ning, B., Zhao, B., Li, Q., Wang, Y., Hu, L., Zhang, R., and Xiong, B.: Observations of poleward-propagating large-scale traveling ionospheric disturbances in southern China, Ann. Geophys., 31, 377–385, https://doi.org/10.5194/angeo-31-377-2013, 2013.
Ding, F., Wan, W., Li, Q., Zhang, R., Song, Q., Ning, B., Liu, L., Zhao, B.,
and Xiong, B.: Comparative climatological study of large-scale traveling
ionospheric disturbances over North America and China in 2011–2012, J.
Geophys. Res.-Space, 119, 519–529, 2014.
Figueiredo, C. A. O. B., Wrasse, C. M., Takahashi, H., Otsuka, Y., Shiokawa,
K., and Barros, D.: Large-scale traveling ionospheric disturbances observed
by GPS dTEC maps over North and South America on Saint Patrick's Day storm
in 2015, J. Geophys. Res.-Space, 122, 4755–4763,
2017.
Foster, J. C., Erickson, P. J., Coster, A. J., Thaller, S., Tao, J., Wygant,
J. R., and Bonnell, J. W.: Storm time observations of plasmasphere erosion
flux in the magnetosphere and ionosphere, Geophys. Res.
Lett., 41, 762–768, 2014.
Fuller-Rowell, T. J., Codrescu, M. V., Moffett, R. J., and Quegan, S.:
Response of the thermosphere and ionosphere to geomagnetic storms, J. Geophys. Res.-Space, 99, 3893–3914, 1994.
Habarulema, J. B. and Carelse, S. A.: Long-term analysis between radio
occultation and ionosonde peak electron density and height during
geomagnetic storms, Geophys. Res. Lett., 43, 4106–4111, 2016.
Habarulema, J. B., Katamzi, Z. T., and McKinnell, L.-A.: Estimating the
propagation characteristics of largescale traveling ionospheric disturbances
using ground-based and satellite data, J. Geophys. Res.-Space, 118,
7768–7782, 2013.
Habarulema, J. B., Katamzi, Z. T., and Yizengaw, E.: First observations of
poleward large-scale traveling ionospheric disturbances over the African
sector during geomagnetic storm conditions, J. Geophys. Res.-Space, 120, 6914–6929, 2015.
Habarulema, J. B., Katamzi, Z. T., Yizengaw, E., Yamazaki, Y., and Seemala,
G.: Simultaneous storm time equatorward and poleward large-scale TIDs on a
global scale, Geophys. Res. Lett., 43, 6678–6686, 2016.
Habarulema, J. B., Yizengaw, E., Katamzi-Joseph, Z. T., Moldwin, M. B., and
Buchert, S.: Storm Time Global Observations of Large-Scale TIDs From
Ground-Based and In Situ Satellite Measurements, J. Geophys.
Res.-Space, 123, 711–724, 2018.
Hines, C. O.: Internal atmospheric gravity waves at ionospheric
heights, Can. J. Phys., 38, 1441–1481, 1960.
Ho, C. M., Mannucci, A. J., Lindqwister, U. J., Pi, X., and Tsurutani, B.
T.: Global ionosphere perturbations monitored by the worldwide GPS
network, Geophys. Res. Lett., 23, 3219–3222, 1996.
Hocke, K. and Schlegel, K.: A review of atmospheric gravity waves and travelling ionospheric disturbances: 1982–1995, Ann. Geophys., 14, 917–940, https://doi.org/10.1007/s00585-996-0917-6, 1996.
Hunsucker, R. D.: Atmospheric gravity waves generated in the high-latitude
ionosphere: A review, Rev. Geophys., 20, 293–315, 1982.
Jonah, O. F., Coster, A., Zhang, S., Goncharenko, L., Erickson, P. J.,
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.
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.-Space, 114, A02313, https://doi.org/10.1029/2008JA013448,
2009.
Klobuchar, J.: Design and characteristics of the GPS ionospheric time delay algorithm for single frequency users, in: Proceedings of PLANS'86 – Position Location and Navigation Symposium, 4–7 November 1986, Las Vegas, Nevada, 280–286, 1986.
Krankowski, A., Zakharenkova, I., Krypiak-Gregorczyk, A., Shagimuratov, I.
I., and Wielgosz, P.: Ionospheric electron density observed by
FORMOSAT-3/COSMIC over the European region and validated by ionosonde data,
J. Geodesy, 85, 949–964, 2011.
Lanyi, G. E. and Roth, T.: A comparison of mapped and measured total
ionospheric electron content using global positioning system and beacon
satellite observations, Radio Sci., 23, 483–492, 1988.
Lyons, L. R., Nishimura, Y., Zhang, S. R., Coster, A. J., Bhatt, A.,
Kendall, E., and Deng, Y.: Identification of Auroral Zone Activity Driving
Large-Scale Traveling Ionospheric Disturbances, J. Geophys.
Res.-Space, 124, 700–714, 2019.
Maeda, S. and Handa, S.: Transmission of large-scale TIDs in the ionospheric
F2-region, J. Atmos. Terr. Phys., 42,
853–859, 1980.
Mendillo, M. and Narvaez, C.: Ionospheric storms at geophysically-equivalent sites – Part 1: Storm-time patterns for sub-auroral ionospheres, Ann. Geophys., 27, 1679–1694, https://doi.org/10.5194/angeo-27-1679-2009, 2009.
Morton, F. W. and Essex, E. A.: Gravity wave observations at a southern
hemisphere mid-latitude station using the total electron content
technique, J. Atmos. Terr. Phys., 40,
1113–1122, 1978.
Nicolls, M. J., Kelley, M. C., Coster, A. J., González, 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.
Pederick, L. H., Cervera, M. A., and Harris, T. J.: Interpreting
observations of large-scale traveling ionospheric disturbances by
ionospheric sounders, J. Geophys. Res.-Space, 122, 12556–12569,
https://doi.org/10.1002/2017JA024337, 2017.
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, 2016.
Ramsingh, Sripathi, S., Sreekumar, S., Banola, S., Emperumal, K., Tiwari,
P., and Kumar, B. S.: Low-latitude ionosphere response to super geomagnetic
storm of 17/18 March 2015: Results from a chain of ground-based observations
over Indian sector, J. Geophys. Res.-Space, 120,
10864–10882, 2015.
Richmond, A. D. and Roble, R. G.: Dynamic effects of aurora-generated
gravity waves on the mid-latitude ionosphere, J. Atmos.
Terr. Phys., 41, 841–852, 1979.
Rideout, W. and Coster, A.: Automated GPS processing for global total
electron content data, GPS Solutions, 10, 219–228, 2006.
Saito, A., Fukao, S., and Miyazaki, S.: High resolution mapping of TEC
perturbations with the GSI GPS network over Japan, Geophys. Res.
Lett., 25, 3079–3082, 1998.
Saito, A., Nishimura, M., Yamamoto, M., Fukao, S., Kubota, M., Shiokawa, K.,
Otsuka, Y., Tsugawa, T., Ogawa, T., Ishii, M., Sakanoi, T., and Miyazaki,
S.: Traveling ionospheric disturbances detected in the FRONT
campaign, Geophys. Res. Lett., 28, 689–692, 2001.
Shiokawa, K., Otsuka, Y., Ogawa, T., Balan, N., Igarashi, K., Ridley, A. J.,
Knipp, D. J., Saito, A., and Yumoto, K.: A large-scale traveling ionospheric
disturbance during the magnetic storm of 15 September 1999, J.
Geophys. Res.-Space, 107, 1088, https://doi.org/10.1029/2001JA000245, 2002.
Song, Q., Ding, F., Wan, W., Ning, B., Liu, L., Zhao, B., Li, Q., and Zhang,
R.: Statistical study of large-scale traveling ionospheric disturbances
generated by the solar terminator over China, J. Geophys.
Res.-Space, 118, 4583–4593, 2013.
Thomas, E. G., Baker, J. B. H., Ruohoniemi, J. M., Coster, A. J., and Zhang,
S. R.: The geomagnetic storm time response of GPS total electron content in
the North American sector, J. Geophys. Res.-Space, 121, 1744–1759, 2016.
Tsugawa, T., Saito, A., Otsuka, Y., and Yamamoto, M.: Damping of large-scale
traveling ionospheric disturbances detected with GPS networks during the
geomagnetic storm, J. Geophys. Res.-Space, 108, 1127, https://doi.org/10.1029/2002JA009433,
2003.
Tsugawa, T., Saito, A., and Otsuka, Y.: A statistical study of large-scale
traveling ionospheric disturbances using the GPS network in Japan, J. Geophys. Res.-Space, 109, A06302, https://doi.org/10.1029/2003JA010302, 2004.
Tsugawa, T., Shiokawa, K., Otsuka, Y., Ogawa, T., Saito, A., and Nishioka,
M.: Geomagnetic conjugate observations of large-scale traveling ionospheric
disturbances using GPS networks in Japan and Australia, J.
Geophys. Res.-Space, 111, A02302, https://doi.org/10.1029/2005JA011300, 2006.
Wan, W., Ning, B., Yuan, H., Li, J., Li, L., and Liang, J.: TID observation
using a short baseline network of GPS receivers, Acta Geod.
Geophys. Hu., 32, 321–327, 1997.
Wang, C.: New Chains of Space Weather Monitoring Stations in China, Space
Weather, 8, S08001, https://doi.org/10.1029/2010SW000603, 2010.
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.
Zhang, D. H. and Xiao, Z.: Study of ionospheric response to the 4B flare on
28 October 2003 using International GPS Service network data. J.
Geophys. Res.-Space, 110, A03307, https://doi.org/10.1029/2004JA010738, 2005.
Zhang, D. H., Zhang, W., Li, Q., Shi, L. Q., Hao, Y. Q., and Xiao, Z.: Accuracy analysis of the GPS instrumental bias estimated from observations in middle and low latitudes, Ann. Geophys., 28, 1571–1580, https://doi.org/10.5194/angeo-28-1571-2010, 2010.
Zhang, S. R., Foster, J. C., Coster, A. J., and Erickson, P. J.: East-West
Coast differences in total electron content over the continental
US, Geophys. Res. Lett., 38, L19101, https://doi.org/10.1029/2011GL049116, 2011.
Zhang, S. R., Erickson, P. J., Goncharenko, L. P., Coster, A. J., Rideout,
W., and Vierinen, J.: Ionospheric bow waves and perturbations induced by the
21 August 2017 solar eclipse, Geophys. Res. Lett., 44, 12067–12073,
2017.
Zhang, W., Zhang, D. H., and Xiao, Z.: The influence of geomagnetic storms on the estimation of GPS instrumental biases, Ann. Geophys., 27, 1613–1623, https://doi.org/10.5194/angeo-27-1613-2009, 2009.