Showing 1 - 20 results of 472 for search '"ionosphere"', query time: 0.07s Refine Results
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    Scientific Review on the Ionospheric Absorption and Research Prospects of a Complex Eikonal Model for One-Layer Ionosphere by Alessandro Settimi, Alessandro Ippolito, Claudio Cesaroni, Carlo Scotto

    Published 2014-01-01
    “…The present paper conducts a scientific review on ionospheric absorption, extrapolating the research prospects of a complex eikonal model for one-layer ionosphere. …”
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    Article
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    An Ionospheric Climate Index Based on GNSS by Cheng Wang, Yuting Li, Jicang Wu, Lei Fan, Zhipeng Wang, Chen Zhou, Chuang Shi

    Published 2021-01-01
    “…Abstract The ionospheric total electron content (TEC) is a significant parameter for scientific studies of the ionosphere and space weather. …”
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    Article
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    ML Prediction of Global Ionospheric TEC Maps by Lei Liu, Y. Jade Morton, Yunxiang Liu

    Published 2022-09-01
    “…Abstract This paper applies the convolutional long short‐term memory (convLSTM)‐based machine learning models to forecast global ionospheric total electron content (TEC) maps with up to 24 hr of lead time at a 1‐hr interval. …”
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    Article
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    New Index to Characterize Ionospheric Irregularity Distribution by Endawoke Yizengaw

    Published 2023-09-01
    “…Abstract Characterization of the global ionospheric irregularities as a function of local time, longitude, altitude, and magnetic activities is still a challenge for radio frequency operations, especially at the low‐latitude region. …”
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    Quantifying Contributions of External Drivers to the Global Ionospheric State by Xing Meng, Olga P. Verkhoglyadova

    Published 2021-09-01
    “…Abstract To advance our understanding of the global response of the ionospheric total electron content (TEC) to various external drivers, we apply entropy‐based information theory to quantify contributions of solar, interplanetary, and lower atmospheric drivers to the global ionospheric state described by the Global Ionospheric Map (GIM). …”
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    Prediction of Global Ionospheric TEC Based on Deep Learning by Zhou Chen, Wenti Liao, Haimeng Li, Jinsong Wang, Xiaohua Deng, Sheng Hong

    Published 2022-04-01
    “…Abstract The accurate prediction of ionospheric Total Electron Content (TEC) is important for global navigation satellite systems (GNSS), satellite communications and other space communications applications. …”
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