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  • SM31C: Magnetosphere-Ionosphere-Thermosphere Coupling Using Observations, Physics-Based Model Simulations, and Machine Learning II Poster
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Primary Convener:
Amani Reddy, University of Alaska Fairbanks

Convener:
Vikas Sonwalkar, University of Alaska Fairbanks
Joseph Huba, Syntek Technologies
Gang Lu, National Center for Atmospheric Research

Early Career Convener:
Amani Reddy, University of Alaska Fairbanks

Chair:
Amani Reddy, University of Alaska Fairbanks
Joseph Huba, Syntek Technologies
Dogacan Ozturk, University of Alaska

During geomagnetic storms, the energy deposited at high latitudes into the Earth’s upper atmosphere can increase significantly, leading to large changes in thermospheric winds, temperature, and composition. High-latitude electric fields promptly penetrate to low latitudes. Plasmasphere erodes, then slowly and unevenly refills. These dynamics catalyze field-aligned plasma flows that tightly couple the magnetosphere-ionosphere-thermosphere (MIT) system. Understanding the coupled MIT system is critical for advancing geospace science, improving space weather prediction, and safeguarding technological systems. This session is dedicated to studying the response of the coupled MIT system to changing levels of geomagnetic activity. We invite synergistic studies combining observations and simulations, studies using data from active experiments (e.g., ground- and space-based radio sounding) and naturally occurring plasma wave phenomena (e.g., lightning-generated whistlers), and data assimilation using machine learning techniques to address various aspects of the response of the coupled MIT system to geomagnetic disturbances and physical processes that drive them.

Index Terms
2403 Active experiments
2736 Magnetosphere|ionosphere interactions
2753 Numerical modeling
2788 Magnetic storms and substorms

Neighborhoods:
4. Beyond Earth

Suggested Itineraries:
Space Weather
Machine Learning and AI

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