Simultaneous Observation of Equatorial Plasma Bubbles and Traveling Ionospheric Disturbances Over Indonesia Following the 15 January 2022 Tonga Volcano Eruption by Asnawi Husin, Varuliantor Dear, Agri Faturahman, Sefria Anggarani, Annis Siradj Mardiani, Adi Purwono, Jiyo Harjosuwito, Rezy Pradipta

Subjects: “…ionosphere…”
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Deep Electron Density Depletion Near Sunset Terminator on St. Patrick's Day Storm and Its Impacts on Skywave Propagation by M. Ankita, S. Tulasi Ram, K. K. Ajith, S. Sripathi

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Statistical Characteristics of Nighttime Medium‐Scale Traveling Ionospheric Disturbances From 10‐Years of Airglow Observation by the Machine Learning Method by Chang Lai, Jiyao Xu, Zhishuang Lin, Kun Wu, Donghe Zhang, Qinzeng Li, Longchang Sun, Wei Yuan, Yajun Zhu

“…Abstract For the first time, we used the machine learning method to analyze the statistical occurrence and propagation characteristics of nighttime medium‐scale traveling ionospheric disturbances (MSTIDs) from October 2011 to December 2021 observed by the all‐sky airglow imager deployed at Xinglong (40.4°N, 117.6°E, 30.5° MLAT), China. …”
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Validation of Ionospheric Specifications During Geomagnetic Storms: TEC and foF2 During the 2013 March Storm Event‐II by J. S. Shim, I.‐S. Song, G. Jee, Y.‐S. Kwak, I. Tsagouri, L. Goncharenko, J. McInerney, A. Vitt, L. Rastaetter, J. Yue, M. Chou, M. Codrescu, A. J. Coster, M. Fedrizzi, T. J. Fuller‐Rowell, A. J. Ridley, S. C. Solomon, J. B. Habarulema

“…In this study, we evaluate new simulations from upgraded models (the Coupled Thermosphere Ionosphere Plasmasphere Electrodynamics (CTIPe) model version 4.1 and the Global Ionosphere Thermosphere Model (GITM) version 21.11) and from the NCAR Whole Atmosphere Community Climate Model with thermosphere and ionosphere extension (WACCM‐X) version 2.2 including eight simulations in the previous study. …”
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Data‐Driven Forecasting of Low‐Latitude Ionospheric Total Electron Content Using the Random Forest and LSTM Machine Learning Methods by Gebreab K. Zewdie, Cesar Valladares, Morris B. Cohen, David J. Lary, Dhanya Ramani, Gizaw M. Tsidu

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The Ionospheric Effects of the 2022 Hunga Tonga Volcano Eruption and the Associated Impacts on GPS Precise Point Positioning Across the Australian Region by B. A. Carter, R. Pradipta, T. Dao, J. L. Currie, S. Choy, P. Wilkinson, P. Maher, R. Marshall, K. Harima, M. Le Huy, T. Nguyen Chien, T. Nguyen Ha, T. J. Harris

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Influence of Solar Wind High‐Speed Streams on the Brazilian Low‐Latitude Ionosphere During the Descending Phase of Solar Cycle 24 by S. P. Moraes‐Santos, C. M. N. Cândido, F. Becker‐Guedes, B. Nava, V. Klausner, C. Borries, F. S. Chingarandi, T. O. Osanyin

“…Abstract This study investigates the Brazilian low‐latitude ionospheric response to CIR/HSS‐driven geomagnetic storms during the declining phase of solar cycle 24, from 2016 to 2017. …”
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On the Growth and Evolution of Nocturnal Ionospheric Irregularities Using HF Radar Observations Along With Digisonde and GNSS Data Over Trivandrum, India by T. V. Sruthi, G. Manju

“…An empirical model is developed using post‐sunset ionospheric height to predict the maximum altitudinal extent of ESF irregularities. …”
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Global Ionospheric TEC Forecasting for Geomagnetic Storm Time Using a Deep Learning‐Based Multi‐Model Ensemble Method by Xiaodong Ren, Pengxin Yang, Dengkui Mei, Hang Liu, Guozhen Xu, Yue Dong

Subjects: “…ionospheric prediction…”
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Multi‐Site Transfer Function Approach for Real‐Time Modeling of the Ground Electric Field Induced by Laterally‐Nonuniform Ionospheric Source by Mikhail Kruglyakov, Elena Marshalko, Alexey Kuvshinov, Maxim Smirnov, Ari Viljanen

“…Abstract We propose a novel approach to model the ground electric field (GEF) induced by laterally‐nonuniform ionospheric sources in real time. The approach exploits the multi‐site transfer function concept, continuous magnetic field measurements at multiple sites in the region of interest, and spatial modes describing the ionospheric source. …”
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Assessing the Effects of a Minor CIR‐HSS Geomagnetic Storm on the Brazilian Low‐Latitude Ionosphere: Ground and Space‐Based Observations by F. S. Chingarandi, C. M. N. Candido, F. Becker‐Guedes, O. F. Jonah, S. P. Moraes‐Santos, V. Klausner, O. O. Taiwo

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Ionospheric Disturbances Observed From a Single GPS Station in Hong Kong During the Passage of Super Typhoon Hato in 2017 by Shiwei Yu, Zhizhao Liu, Tsz Cheung Lee

Subjects: “…ionospheric disturbances…”
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Ionospheric Phase Scintillation Index Estimation Based on 1 Hz Geodetic GNSS Receiver Measurements by Using Continuous Wavelet Transform by Dongsheng Zhao, Wang Li, Chendong Li, Xu Tang, Qianxin Wang, Craig M. Hancock, Gethin Wyn Roberts, Kefei Zhang

“…Abstract The adverse effect of the ionospheric scintillation on Global Navigation Satellite System (GNSS) requires scintillation monitoring on a global scale. …”
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On the Ionospheric Disturbances in New Zealand and Australia Following the Eruption of the Hunga Tonga‐Hunga Ha'apai Volcano on 15 January 2022 by Peng Chen, Mingzhu Xiong, Rong Wang, Yibin Yao, Fucai Tang, Hao Chen, Liangcai Qiu

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Uncertainty Quantification for Machine Learning‐Based Ionosphere and Space Weather Forecasting: Ensemble, Bayesian Neural Network, and Quantile Gradient Boosting by Randa Natras, Benedikt Soja, Michael Schmidt

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Deep Learning‐Based Regional Ionospheric Total Electron Content Prediction—Long Short‐Term Memory (LSTM) and Convolutional LSTM Approach by Se‐Heon Jeong, Woo Kyoung Lee, Hyosub Kil, Soojeong Jang, Jeong‐Heon Kim, Young‐Sil Kwak

“…Abstract This study evaluates the performance of deep learning approach in the prediction of the ionospheric total electron content (TEC) during magnetically quiet periods. …”
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Detection of VLF Attenuation in the Earth‐Ionosphere Waveguide Caused by X‐Class Solar Flares Using aGlobal Lightning Location Network by T. S. Anderson, M. P. McCarthy, R. H. Holzworth

Subjects: “…ionosphere…”
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Potential of Regional Ionosphere Prediction Using a Long Short‐Term Memory Deep‐Learning Algorithm Specialized for Geomagnetic Storm Period by Jeong‐Heon Kim, Young‐Sil Kwak, YongHa Kim, Su‐In Moon, Se‐Heon Jeong, JongYeon Yun

Subjects: “…ionosphere…”
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Mid‐Latitude Study of Ionospheric Variation Over Iran Associated With Equatorial Ionization Anomaly (EIA), and Artificial Neural Networks Model Development by M. Vazifehkhah Hafteh, A. Mahmoudian, A. Yoshikawa, K. Girgis

“…Abstract The ionosphere over Iran is located on the upper edge of equatorial ionization anomaly (EIA). …”
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Characteristics of Ionospheric Irregularities Using GNSS Scintillation Indices Measured at Jang Bogo Station, Antarctica (74.62°S, 164.22°E) by Junseok Hong, Jong‐Kyun Chung, Yong Ha Kim, Jaeheung Park, Hyuck‐Jin Kwon, Jeong‐Han Kim, Jong‐Min Choi, Young‐Sil Kwak

Subjects: “…ionosphere…”
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