A Review on Electrodynamic Influence of Atmospheric Processes to the Ionosphere

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Open Journal of Earthquake Research

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"A Review on Electrodynamic Influence of Atmospheric Processes to the Ionosphere"
written by Valery M. Sorokin, Vitaly M. Chmyrev, Masashi Hayakawa,
published by Open Journal of Earthquake Research, Vol.9 No.2, 2020

has been cited by the following article(s):

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[2]	Effects of Local Time on the Variations of the Total Electron Contents at an American and Asian longitudes and Their comparison with IRI-2016, IRI-Plas2017 and …
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[13]	Simultaneous electric, magnetic and ULF anomalies associated with moderate earthquakes in Kumaun Himalaya
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[14]	Optimal setting of earthquake-related ionospheric TEC (total electron content) anomalies detection methods: long-term validation over the Italian Region
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[15]	Schumann resonance anomalies associated with two (M~ 7) Tohoku offshore earthquakes in the spring of 2021
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[16]	A model of TEC perturbations possibly related to seismic activity
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[17]	Statistical Seismo-Ionospheric Influence with the Focal Mechanism under Consideration
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[18]	A semi-supervised total electron content anomaly detection method using LSTM-auto-encoder
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[19]	On the Spatio-Temporal Dependence of Anomalies in the Atmospheric Electric Field Just around the Time of Earthquakes
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[20]	Electrokinetic effect in porous rocks of the sea coast provided by long sea waves
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[22]	Are the Significant Ionospheric Anomalies Associated with the 2007 Great Deep-Focus Undersea Jakarta–Java Earthquake?
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[23]	Ionospheric response during Tropical Cyclones-a brief review on Amphan and Nisarga
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[24]	Two Large Earthquakes Registered by the CSES Satellite during Its Earthquake Prediction Practice in China
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[25]	Multi-parameter observations of seismogenic phenomena related to the Tokyo earthquake (M= 5.9) on 7 October 2021
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[26]	LSTM-Autoencoder Network for the Detection of Seismic Electric Signals
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[27]	Potential utilization of air temperature, total electron content, and air relative humidity as possible earthquake precursors: A case study of Mexico M7. 4 earthquake
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[28]	Differentiating between artificial and natural sources of electromagnetic radiation at a seismogenic fault
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[29]	A possible theory connecting seismicity and geomagnetic field
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[31]	A Study of Pre Earthquake Signatures from Ionospheric and Surface Parameters
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[32]	ULF Activity in the Earth Environment: Penetration of Electric Field from the Near-Ground Source to the Ionosphere under Different Configurations of the …
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[33]	Anomalies of Schumann resonances as observed near Nagoya associated with two huge (M∼ 7) Tohoku offshore earthquakes in 2021
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[34]	Long Short Term Memory Networks (LSTM)-Monte-Carlo Simulation of Surface Ionization using Radon
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[35]	Determination of possible responses of Radon-222, magnetic effects, and total electron content to earthquakes on the North Anatolian Fault Zone, Turkiye: an ARIMA …
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[36]	Radon prediction using metrological parameters, and its significance in Seismo-Ionospheric coupling
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[37]	Radon Transport from Soil to Air and Monte-Carlo Simulation
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[38]	Ionospheric and atmospheric perturbations due to two major earthquakes (M> 7.0)
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[39]	Evidence of Correlation between High Frequency Geomagnetic Variations and Seismicity in the Caribbean
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[40]	ULF Activity in the Earth Environment: Penetration of Electric Field from the Near-Ground Source to the Ionosphere under Different Configurations of the Geomagnetic …
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[41]	Long Short Term Memory networks (LSTM)-Monte-Carlo simulation of near surface ionization using radon
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[42]	A critical review of ground based observations of earthquake precursors
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[43]	Lithosphere–atmosphere–ionosphere coupling effects based on multiparameter precursor observations for February–March 2021 earthquakes (M~ 7) in the …
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[44]	The Ocean's Heartbeat
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[45]	Longitudinal Variations and Local Time Effects on Total Electron Contents at American and Asian Sectors and its Comparison with Iri-2016, Iri-Plas2017 and Nequick …
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[18]	Investigating radon and TEC anomalies relative to earthquakes via AI models Journal of Atmospheric and Solar-Terrestrial Physics, 2023 DOI:10.1016/j.jastp.2023.106037

[19]	Simultaneous electric, magnetic and ULF anomalies associated with moderate earthquakes in Kumaun Himalaya Natural Hazards, 2023 DOI:10.1007/s11069-023-05844-y

[20]	Optimal Setting of Earthquake-Related Ionospheric TEC (Total Electron Content) Anomalies Detection Methods: Long-Term Validation over the Italian Region Geosciences, 2023 DOI:10.3390/geosciences13050150

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[30]	Radon transport from soil to air and Monte-Carlo simulation Journal of Atmospheric and Solar-Terrestrial Physics, 2022 DOI:10.1016/j.jastp.2021.105803

[31]	On the Spatio-Temporal Dependence of Anomalies in the Atmospheric Electric Field Just around the Time of Earthquakes Atmosphere, 2022 DOI:10.3390/atmos13101619

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[35]	Are the Significant Ionospheric Anomalies Associated with the 2007 Great Deep-Focus Undersea Jakarta–Java Earthquake? Remote Sensing, 2022 DOI:10.3390/rs14092211

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[38]	Multi-Parameter Observations of Seismogenic Phenomena Related to the Tokyo Earthquake (M = 5.9) on 7 October 2021 Geosciences, 2022 DOI:10.3390/geosciences12070265

[39]	A semi-supervised total electron content anomaly detection method using LSTM-auto-encoder Journal of Atmospheric and Solar-Terrestrial Physics, 2022 DOI:10.1016/j.jastp.2022.105979

[40]	LSTM-Autoencoder Network for the Detection of Seismic Electric Signals IEEE Transactions on Geoscience and Remote Sensing, 2022 DOI:10.1109/TGRS.2022.3183389

[41]	Radon transport from soil to air and Monte-Carlo simulation Journal of Atmospheric and Solar-Terrestrial Physics, 2022 DOI:10.1016/j.jastp.2021.105803

[42]	Are the Significant Ionospheric Anomalies Associated with the 2007 Great Deep-Focus Undersea Jakarta–Java Earthquake? Remote Sensing, 2022 DOI:10.3390/rs14092211

[43]	A semi-supervised total electron content anomaly detection method using LSTM-auto-encoder Journal of Atmospheric and Solar-Terrestrial Physics, 2022 DOI:10.1016/j.jastp.2022.105979

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[45]	On the Spatio-Temporal Dependence of Anomalies in the Atmospheric Electric Field Just around the Time of Earthquakes Atmosphere, 2022 DOI:10.3390/atmos13101619

[46]	Two Large Earthquakes Registered by the CSES Satellite during Its Earthquake Prediction Practice in China Atmosphere, 2022 DOI:10.3390/atmos13050751

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