[E] Oral

P (Space and Planetary Sciences ) » P-EM Solar-Terrestrial Sciences, Space Electromagnetism & Space Environment

[P-EM16] Coupling Processes in the Atmosphere-Ionosphere System

Mon. May 25, 2026 1:45 PM - 3:15 PM 304 (International Conference Hall, Makuhari Messe)

Chairperson:Otsuka Yuichi(Institute for Space-Earth Environmental Research, Nagoya University), Chang Loren(Department of Space Science and Engineering, National Central University)

The Atmosphere-Ionosphere (A-I) system forms the so-called near-Earth space. Recent rapidly expanding use of satellite constellations in low Earth orbit (LEO) drives a high demand for better understanding and accurate forecast of the global A-I system for scientific and operational purposes. This session aims to provide a forum for research advances and frontiers related to these aspects, and we invite presentations on global A-I coupling at all temporal and spatial scales. This includes but is not limited to: A-I coupling via atmospheric waves (tides, gravity waves, planetary waves) and trace gases (CO2, O3, H2O), A-I response to Space Weather events (solar flares, CMEs, CIRs), polar-equatorial, inter-hemispheric coupling via TADs/TIDs/disturbance dynamo/penetration electric field, ionospheric plasma irregularities, and ionospheric currents. Observations, theoretical studies, model simulations, data assimilation, instruments development are all highly welcome.

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1:45 PM - 2:00 PM

[PEM16-25] Evening Solar Terminator Waves in the Terrestrial Thermosphere: Recent Observations and Modeling

★Invited Papers

*Lilias Claire Gasque¹, Brian Harding¹, Thomas J Immel¹, Yen-Jung Wu¹, Astrid I Maute² (1. Univ. of California, Berkeley, 2. Leibniz Inst. of Atmospheric Physics)

2:00 PM - 2:15 PM

[PEM16-26] Common mechanisms underlying seasonal variations of Rossby and Rossby–gravity normal modes revealed by long-term reanalysis JAWARA

*Hiroto Sekido¹, Kaoru Sato¹ (1. Department of Earth and Planetary Science, Graduate School of Science, The University of Tokyo)

2:15 PM - 2:30 PM

[PEM16-27] Multi-instrument Characterization of Convectively Generated Gravity Waves Over Japan Using AWE, AIRS, and GNSS Observations

*Jaime Aguilar Guerrero¹, Björn Bergsson¹, Sehin Mesfin¹, Jonathan B Snively¹, Ludger Scherliess², Yucheng Zhao², Pierre-Dominique Pautet² (1. Embry-Riddle Aeronautical Univ., 2. Utah State Univ.)

2:30 PM - 2:45 PM

[PEM16-28] Height-Resolved MSTID Dynamics Revealed by Rapid-Run Ionosondes and Deep-Learning-Based Trace Recognition

*Ruslan Sherstyukov¹, Alexander Kozlovsky¹ (1. Sodankylä geophysical observatory, University of Oulu)

2:45 PM - 3:00 PM

[PEM16-29] Advancing Upper Atmospheric and Ionospheric Research in the Philippines

★Invited Papers

*Ernest P. Macalalad^1,2, Gella Mae Flores² (1. Philippine Space Agency, 2. Mapua University)

3:00 PM - 3:15 PM

[PEM16-30] Machine Learning–Aided Extreme Total Electron Content Prediction Using Extreme Value Theory: Insights from Long-Term GNSS Data

★Invited Papers

*Venkata Ratnam Devanaboyina¹, Yuichi Otsuka², Suneetha Emmela¹, Atsuki Shinbori², Michi Nishioka³, Septi Perwitasari³ (1. KLEF deemed to be University, India, 2. Institute for Space-Earth Environmental Research, Nagoya University, Japan, 3. National Institute of Information and Communications Technology, Tokyo, Japan)

Session information

[P-EM16] Coupling Processes in the Atmosphere-Ionosphere System

[PEM16-25] Evening Solar Terminator Waves in the Terrestrial Thermosphere: Recent Observations and Modeling

★Invited Papers

[PEM16-26] Common mechanisms underlying seasonal variations of Rossby and Rossby–gravity normal modes revealed by long-term reanalysis JAWARA

[PEM16-27] Multi-instrument Characterization of Convectively Generated Gravity Waves Over Japan Using AWE, AIRS, and GNSS Observations

[PEM16-28] Height-Resolved MSTID Dynamics Revealed by Rapid-Run Ionosondes and Deep-Learning-Based Trace Recognition

[PEM16-29] Advancing Upper Atmospheric and Ionospheric Research in the Philippines

★Invited Papers

[PEM16-30] Machine Learning–Aided Extreme Total Electron Content Prediction Using Extreme Value Theory: Insights from Long-Term GNSS Data

★Invited Papers

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