Wed. May 28, 2025 10:45 AM - 12:15 PM 302 (International Conference Hall, Makuhari Messe)

convener:Kunihiro Keika(Department of Earth and Planetary Science, Graduate School of Science, The University of Tokyo ), Yoshizumi Miyoshi(Institute for Space-Earth Environmental Research, Nagoya University), Jerry Goldstein(Southwest Research Institute), YIXIN Sun(Peking University), Chairperson:Kazuhiro Yamamoto(Institute for Space-Earth Environmental Research), Kunihiro Keika(Department of Earth and Planetary Science, Graduate School of Science, The University of Tokyo), Claudia Martinez-Calderon(Nagoya University)

The inner magnetosphere is a highly dynamic and variable region full of cold plasma, energetic particles and wave activities, which is primarily influenced by changes in energy input from the solar wind via the magnetotail, the plasma supply from the ionosphere, and electrodynamic magnetosphere-ionosphere coupling. This complex, driven and self-modifying system - of both plasmas and neutrals - is shaped by various processes that involve cross-regional, cross-scale, and cross-energy coupling. To achieve a deeper understanding of this dynamic environment, it is crucial to conduct comprehensive studies utilizing coordinated observations from multi-point satellite measurements, ground-based networks, and theoretical modeling. During the 24th and 25th solar cycles, advancements in this area have been facilitated by multiple satellite missions (including the Van Allen Probes, MMS, THEMIS, DSX, Arase, and CubeSats), as well as coordinated ground-based observations (such as THEMIS-GBO, SuperDARN, EISCAT, magnetometers, and riometers) and numerical simulations (encompassing global kinetic models, MHD models, micro PIC, hybrid models, and particle tracing simulations).
This session invites submissions of papers highlighting recent research findings related to the inner magnetosphere and its interactions with adjacent regions, including the ionosphere and the outer magnetosphere. We welcome relevant data analysis and contributions from various models and simulations. The initial results of recent severe storm events, such as May and October 2024, are also highly welcome. We encourage papers that discuss new projects, such as sounding rocket experiments, data assimilation and machine learning approaches, and CubeSat projects, as well as insights into future spacecraft missions.