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LIU Libo, ZHAO Biqiang, ZHANG Ruilong, SUN Wenjie, YU Tingting. New Progress in Research on Mid-and-low-latitude Ionospheric Storms (in Chinese). Chinese Journal of Space Science, 2026, 46(5): 1-13 doi: 10.11728/cjss2026.05.2025-0205
Citation: LIU Libo, ZHAO Biqiang, ZHANG Ruilong, SUN Wenjie, YU Tingting. New Progress in Research on Mid-and-low-latitude Ionospheric Storms (in Chinese). Chinese Journal of Space Science, 2026, 46(5): 1-13 doi: 10.11728/cjss2026.05.2025-0205
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New Progress in Research on Mid-and-low-latitude Ionospheric Storms

doi: 10.11728/cjss2026.05.2025-0205 cstr: 32142.14.cjss.2025-0205
  • 1.

    Key Laboratory of Planetary Science and Frontier Technology, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029

  • 2.

    Heilongjiang Mohe National Observatory of Geophysics, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029

  • 3.

    Beijing National Observatory of Space Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029

  • 4.

    College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049

  • Received Date: 2025-12-02
  • Rev Recd Date: 2026-02-09
    • Available Online: 2026-02-09
    Abstract
  • This article reviews the studies conducted by the team from the Institute of Geology and Geophysics, Chinese Academy of Sciences in the field of ionospheric storms in recent years. The following five aspects will be outlined: the large-scale characteristics and longitude dependence of ionospheric responses to geomagnetic storms in the middle and low latitudes; the coupling process of the ionosphere-thermosphere system during storms; electrodynamics and dynamical response processes and mechanisms of the ionosphere at low latitudes during storms; evolution and mechanism of ionospheric irregularities in the middle and low latitudes during storms; modeling and prediction of parameters during ionospheric storms. These studies, by leveraging global and regional multi-source observations, numerical simulations, statistical analyses, and deep learning, systematically reveal the complicated multi-scale temporal evolution characteristics and spatial dependence of mid-low latitude ionospheric storms, and also explore their underlying physical mechanisms.

     

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