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  1. 1161
    Mid‐Latitude Study of Ionospheric Variation Over Iran Associated With Equatorial Ionization Anomaly (EIA), and Artificial Neural Networks Model Development

    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

    Published 2024-11-01
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  2. 1162
    Digitized Continuous Magnetic Recordings for the August/September 1859 Storms From London, UK

    Digitized Continuous Magnetic Recordings for the August/September 1859 Storms From London, UK by C. D. Beggan, E. Clarke, E. Lawrence, E. Eaton, J. Williamson, K. Matsumoto, H. Hayakawa

    Published 2024-03-01
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  3. 1163
    Relativistic Electron Flux Prediction at Geosynchronous Orbit Based on the Neural Network and the Quantile Regression Method

    Relativistic Electron Flux Prediction at Geosynchronous Orbit Based on the Neural Network and the Quantile Regression Method by Hui Zhang, Suiyan Fu, Lun Xie, Duo Zhao, Chao Yue, Zuyin Pu, Ying Xiong, Tong Wu, Shaojie Zhao, Yixin Sun, Bo Cui, Zhekai Luo

    Published 2020-09-01
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  4. 1164
    Disappearance of the Polar Cap Ionosphere During Geomagnetic Storm on 11 May 2019

    Disappearance of the Polar Cap Ionosphere During Geomagnetic Storm on 11 May 2019 by H.‐J. Kwon, K.‐H. Kim, G. Jee, J. Seon, C. Lee, Y.‐B. Ham, J. Hong, E. Kim, T. Bullett, H.‐U. Auster, W. Magnes, S. Kraft

    Published 2022-06-01
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  5. 1165
    Upper‐Atmosphere Mass Density Variations From CASSIOPE Precise Orbits

    Upper‐Atmosphere Mass Density Variations From CASSIOPE Precise Orbits by Andrés Calabia, Shuanggen Jin

    Published 2021-04-01
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  6. 1166
    Global Three‐Dimensional Ionospheric Tomography by Combination of Ground‐Based and Space‐Borne GNSS Data

    Global Three‐Dimensional Ionospheric Tomography by Combination of Ground‐Based and Space‐Borne GNSS Data by Dengkui Mei, Xiaodong Ren, Hang Liu, Xuan Le, Si Xiong, Xiaohong Zhang

    Published 2023-04-01
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  7. 1167
    Characteristics of Ionospheric Irregularities Using GNSS Scintillation Indices Measured at Jang Bogo Station, Antarctica (74.62°S, 164.22°E)

    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

    Published 2020-10-01
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  8. 1168
    Investigating Potential Causes for the Prediction of Spurious Magnetopause Crossings at Geosynchronous Orbit in MHD Simulations

    Investigating Potential Causes for the Prediction of Spurious Magnetopause Crossings at Geosynchronous Orbit in MHD Simulations by Pauline M. Dredger, Ramon E. Lopez, Yaireska M. Collado‐Vega, Shreeya Khurana, Lutz M. Rastaetter

    Published 2023-06-01
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  9. 1169
    New Findings From Explainable SYM‐H Forecasting Using Gradient Boosting Machines

    New Findings From Explainable SYM‐H Forecasting Using Gradient Boosting Machines by Daniel Iong, Yang Chen, Gabor Toth, Shasha Zou, Tuija Pulkkinen, Jiaen Ren, Enrico Camporeale, Tamas Gombosi

    Published 2022-08-01
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  10. 1170
    The Ionospheric Dynamics of the African Sector Responding to a Severe Geomagnetic Storm; the Storm of 3–5 November 2021

    The Ionospheric Dynamics of the African Sector Responding to a Severe Geomagnetic Storm; the Storm of 3–5 November 2021 by Wellen Rukundo

    Published 2023-03-01
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  11. 1171
    A Hybrid Deep Learning‐Based Forecasting Model for the Peak Height of Ionospheric F2 Layer

    A Hybrid Deep Learning‐Based Forecasting Model for the Peak Height of Ionospheric F2 Layer by Ya‐fei Shi, Cheng Yang, Jian Wang, Yu Zheng, Fan‐yi Meng, Leonid F. Chernogor

    Published 2023-10-01
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  12. 1172
    Operational SYM‐H Forecasting With Confidence Intervals Using Deep Neural Networks

    Operational SYM‐H Forecasting With Confidence Intervals Using Deep Neural Networks by Armando Collado‐Villaverde, Pablo Muñoz, Consuelo Cid

    Published 2024-10-01
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  13. 1173
    Removing Orbital Variations From Low Altitude Particle Data: Method and Application

    Removing Orbital Variations From Low Altitude Particle Data: Method and Application by J. C. Green, T. P. O’Brien, S. G. Claudepierre, A. J. Boyd

    Published 2021-02-01
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  14. 1174
    Drivers for Geostationary 2–200 keV Electron Fluxes as Observed at GOES Satellites

    Drivers for Geostationary 2–200 keV Electron Fluxes as Observed at GOES Satellites by M. van deKamp, N. Ganushkina, L. Simms, M. Liemohn

    Published 2024-08-01
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  15. 1175
    Interpretable Machine Learning to Forecast SEP Events for Solar Cycle 23

    Interpretable Machine Learning to Forecast SEP Events for Solar Cycle 23 by Spiridon Kasapis, Lulu Zhao, Yang Chen, Xiantong Wang, Monica Bobra, Tamas Gombosi

    Published 2022-02-01
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  16. 1176
    Adapting Ensemble‐Calibration Techniques to Probabilistic Solar‐Wind Forecasting

    Adapting Ensemble‐Calibration Techniques to Probabilistic Solar‐Wind Forecasting by N. O. Edward‐Inatimi, M. J. Owens, L. Barnard, H. Turner, M. Marsh, S. Gonzi, M. Lang, P. Riley

    Published 2024-12-01
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  17. 1177
    The Geomagnetic Kp Index and Derived Indices of Geomagnetic Activity

    The Geomagnetic Kp Index and Derived Indices of Geomagnetic Activity by J. Matzka, C. Stolle, Y. Yamazaki, O. Bronkalla, A. Morschhauser

    Published 2021-05-01
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  18. 1178
    A Machine Learning Approach to Predicting SEP Events Using Properties of Coronal Mass Ejections

    A Machine Learning Approach to Predicting SEP Events Using Properties of Coronal Mass Ejections by Jesse Torres, Lulu Zhao, Philip K. Chan, Ming Zhang

    Published 2022-07-01
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  19. 1179
    An Examination of SuperDARN Backscatter Modes Using Machine Learning Guided by Ray‐Tracing

    An Examination of SuperDARN Backscatter Modes Using Machine Learning Guided by Ray‐Tracing by B. S. R. Kunduri, J. B. H. Baker, J. M. Ruohoniemi, E. G. Thomas, S. G. Shepherd

    Published 2022-09-01
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  20. 1180
    Daily Plasmaspheric TEC Variations From COSMIC GPS Observations Based on RBF Neural Network‐Kriging Method

    Daily Plasmaspheric TEC Variations From COSMIC GPS Observations Based on RBF Neural Network‐Kriging Method by Qiqi Shi, Shuanggen Jin, Linlin Li

    Published 2023-07-01
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