SM013
Magnetosphere-Ionosphere-Thermosphere Coupling Using Observations, Physics-based Model Simulations, and Machine Learning
Session ID#: 249097
Session Description:
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 [IONOSPHERE]
2736 Magnetosphere/ionosphere interactions [MAGNETOSPHERIC PHYSICS]
2753 Numerical modeling [MAGNETOSPHERIC PHYSICS]
2788 Magnetic storms and substorms [MAGNETOSPHERIC PHYSICS]
Primary Convener: Amani Reddy, University of Alaska Fairbanks, Fairbanks, AK, United States
Conveners: Vikas S Sonwalkar, University of Alaska Fairbanks, Fairbanks, AK, United States, Joseph D Huba, Syntek Technologies, Fairfax, United States and Gang Lu, National Center for Atmospheric Research, High Altitude Observatory, Boulder, CO, United States
Super Fourtain Effect during May 2024 Storm: GITM-SAMI3 Simulation (1863209)
Zihan Wang1, Joseph D Huba2, Gang Lu3, Shasha Zou4, Yue Deng5 and Cheng Sheng5, (1)University of Texas at Arlington, Arlington, United States, (2)Syntek Technologies, Fairfax, United States, (3)National Center for Atmospheric Research, High Altitude Observatory, Boulder, CO, United States, (4)University of Michigan, Climate and Space Sciences and Engineering, Ann Arbor, United States, (5)University of Texas Arlington, Arlington, United States
Storm-time Electric Field Effects on Early Morning Ionospheric Plasma Drift During the June 2015 Geomagnetic Storm (1882624)
Dr. Tiju JOSEPH Mathew, Department Of Physics, Christian College, Chengannur, Kerala, India, Alappuzha, India and Blessy Varghese, Department Of Physics, Christian College, Chengannur, Kerala, India, Chengannur, India
Dynamic responses of ionosphere and plasmasphere during 2024 October super storm by GITM-SAMI3 (1896090)
Yulu Peng, University of Michigan Ann Arbor, Ann Arbor, MI, United States, Shasha Zou, University of Michigan, Climate and Space Sciences and Engineering, Ann Arbor, United States, Zihan Wang, University of Texas at Arlington, Arlington, United States, Aaron J Ridley, Univ Michigan, Ann Arbor, United States and Joseph Huba, Syntek Technologies Inc, Fairfax, United States
A new approach to map high-spatial resolution plasma convection using SuperDARN (1901299)
Bharat Kunduri1, Joseph B. H. Baker2, J. Michael Ruohoniemi1 and Bill Bristow3, (1)Virginia Polytechnic Institute and State University, Blacksburg, United States, (2)Virginia Tech, Blacksburg, United States, (3)Pennsylvania State University Main Campus, University Park, PA, United States
Investigating EMIC Wave Conjunctions: Linking Ground-Based and Space Observations Using Machine Learning (1902371)
Marcela Moura, New Jersey Institute of Technology, Edison, NJ, United States, Hyomin Kim, New Jersey Institute of Technology, Center for Solar-Terrestrial Research, Newark, United States, Sungjun Noh, Los Alamos National Laboratory, Physics, Los Alamos, United States and Marc Lessard, University of New Hampshire, Durham, United States
Influence of Dynamic Magnetospheric Shielding on Solar Energetic Proton Precipitation and the resultant Atmospheric Ionization (1923662)
Murong Qin1, Wen Li2, Brian T Kress3, Xiaohua Fang4, Mary Hudson5, Luisa Capannolo6 and Xiaochen Shen6, (1)Boston University, Boston, MA, United States, (2)UCLA, Los Angeles, United States, (3)University of Colorado, Boulder, CO, United States, (4)University of Colorado at Boulder, Boulder, United States, (5)Dartmouth College, Department of Physics and Astronomy, Hanover, United States, (6)Boston University, Boston, United States
The impacts of different types of auroral precipitation on the thermosphere and ionosphere (1931312)
Wenbin Wang, High Altitude Observatory, Boulder, CO, United States, Dong Lin, NCAR, Boulder, United States and Haonan Wu, National Center for Atmospheric Research, High Altitude Observatory, Boulder, United States
Joule heat energetics of non-extreme magnetic storms in 2023-2024 using SuperDARN data assimilated AI emulator (1935268)
B Nilam, OIST Okinawa Institute of Science and Technology, Okinawa, Japan, Ryuho Kataoka, Okinawa Institute of Science and Technology, Okinawa, Japan, Shinya Nakano, The Institute of Statistical Mathematics, Tachikawa, Japan, Sachin Reddy, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Tikemani Bag, Centre for Environmental Remote Sensing, University of Chiba, Chiba, Japan and Sessai Yukimatu, National Institute of Polar Research, Tachikawa, Tokyo, Japan
Advancing Modeling of Magnetosphere-Ionosphere Coupling with the Enhanced OpenGGCM-GITM Framework (1938117)
Liang Wang1, Kai Germaschewski2, Dogacan Su Ozturk3, Choong Min Um4, Jing Liao2, Chuanfei Dong5, Hyunju KIM Connor6 and Joachim Raeder7, (1)Boston University, Center for Space Physics, Boston, MA, United States, (2)University of New Hampshire, Durham, United States, (3)University of Alaska, Fairbanks, United States, (4)University of New Hampshire Main Campus, Space Science Center, Durham, United States, (5)Boston University, Boston, United States, (6)NASA Goddard Space Flight Center, Greenbelt, United States, (7)University of New Hampshire, Institute for the Study of Earth, Oceans, and Space, Durham, NH, United States
ML-IMEF: A Machine Learning Approach to Global Modeling of the Inner Magnetospheric Electric Field and Potential for Evaluating Stormtime Dynamics (1938533)
Brianna Isola1, Matthew R Argall2, James Andrew Edmond3, Alireza Motazedian4 and Roy B Torbert2,5, (1)University of New Hampshire Main Campus, Physics & Astronomy, Durham, NH, United States, (2)University of New Hampshire, Durham, United States, (3)Air Force Research Laboratory Albuquerque, Albuquerque, United States, (4)University of New Hampshire Main Campus, Durham, NH, United States, (5)Southwest Research Institute San Antonio, San Antonio, United States
Simulation of the Gannon Storm with the Comprehensive Inner Magnetosphere-Ionosphere (CIMI) Model (1953791)
Mei-Ching Hannah Fok1, George V Khazanov2, John Dorelli3, Cristian Ferradas4, Suk-Bin Kang5, Sandeep Kumar4, Yihua Zheng6, Mikhail I. Sitnov7, Grant Killian Stephens7, Natalia Buzulukova8 and Alex Glocer9, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)NASA/GSFC, Greenbelt, MD, United States, (3)NASA-GSFC, Rockville, MD, United States, (4)Catholic University of America, Washington DC, United States, (5)Catholic University of America, Washington, United States, (6)Community Coordinated Modeling Center, NASA Goddard Space Flight Center, Greenbelt, United States, (7)Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States, (8)University of Maryland College Park, Astronomy Department, College Park, MD, United States, (9)NASA/GSFC, Greenbelt, United States
Exploring Cross Polar Cap Potential in Global Simulation of the Gannon Storm (1959525)
Austin Brenner1,2, Tuija I Pulkkinen2, David G Sibeck3, Eliah M. T. São Sabbas4, Daniel T Welling5, Aaron J Ridley6, Sai Gowtam Valluri7 and Nithin Sivadas8, (1)Catholic University of America, Washington, United States, (2)University of Michigan Ann Arbor, Department of Climate and Space Sciences and Engineering, Ann Arbor, MI, United States, (3)NASA/GSFC, Greenbelt, United States, (4)NASA Goddard Space Flight Center, Heliophysics Division, Greenbelt, United States, (5)University of Michigan, Ann Arbor, MI, United States, (6)Univ Michigan, Ann Arbor, United States, (7)NASA Goddard Space Flight Center, Greenbelt, United States, (8)Catholic University of America, Washington, DC, United States
OpenGGCM's Coupling Framework and its Postprocessing and Visualization Library ggcmpy (1960144)
Kai Germaschewski1, Liang Wang2, Choong Min Um3, Dogacan Su Ozturk4, Jing Liao1, Chuanfei Dong2, Hyunju KIM Connor5 and Joachim Raeder6, (1)University of New Hampshire, Durham, United States, (2)Boston University, Boston, United States, (3)University of New Hampshire Main Campus, Space Science Center, Durham, United States, (4)University of Alaska, Fairbanks, United States, (5)NASA Goddard Space Flight Center, Greenbelt, United States, (6)University of New Hampshire, Institute for the Study of Earth, Oceans, and Space, Durham, NH, United States
Using Machine Learning for Estimating Chorus -Driven Energetic Electron Precipitation (1967631)
Joshua Pettit, Alexander Bibeau2, Luisa Capannolo3, Justin Peyton Bernardo Morales2 and Sadie Elliott4, (1)George Mason University Fairfax, Astronomy and Physics, Fairfax, United States, (2)Boston University, Boston, United States, (3)University of Minnesota, Minneapolis, United States
Assessing High-latitude Electrodynamics: Validation and Characterization of Perturbations in the Coupled Ionosphere-Thermosphere System (1969885)
Dogacan Su Ozturk, University of Alaska Fairbanks, Fairbanks, AK, United States, Katrina Bossert, Arizona State University, Tempe, United States, Aaron J Ridley, Univ Michigan, Ann Arbor, United States and Thomas E Berger, University of Colorado, Space Weather Technology, Research, and Education Center, Boulder, United States
Observations and Physics-Based Model Understanding of Electron Auroral Precipitation Mechanism and Backscatter Characteristics (1985476)
John P Dombeck, University of Minnesota, Minneapolis, United States, Alberto Giraldo, University of Minnesota Twin Cities, School of Physics and Astronomy, Minneapolis, MN, United States, Brian Ackerman, University of Minnesota Twin Cities, School of Pyhsics and Astronomy, Minneapolis, United States, Sherryl Ooi, University of Minnesota Twin Cities, School of Physics and Astronomy, Minneapolis, United States and Joshua H Magnus, University of Arizona, Wyant College of Optical Science, Tucson, United States
