SM040
Understanding and modeling of the inner magnetosphere
Session ID#: 81146
Session Description:
The inner magnetosphere is an essential link in the solar-terrestrial system, and a harsh environment in terms of radiation. Our increasing dependence on space based infrastructure bolsters demand for reliable forecasts of energetic particles, which can affect satellites. The inner magnetosphere is a home to plasmas with very different physical characteristics, such as the plasmasphere, ring current, and radiation belts. Particles from the tail are injected into Earth’s inner magnetosphere and interact with these plasmas in various ways. In addition, the waves are an important component of the system known to cause acceleration and loss through wave-particle interactions. Modelling such a complex system requires a complimentary approach using first principles and machine-learning. The goal of this session is to showcase new research in modeling the inner magnetosphere, including the plasmasphere, radiation belts, ring current and waves. We encourage all types of models, MHD, kinetic, particle-in-cell, system-science, data-assimilation, machine-learning and hybrid.
Index Terms:
1910 Data assimilation, integration and fusion [INFORMATICS]
1942 Machine learning [INFORMATICS]
7924 Forecasting [SPACE WEATHER]
7984 Space radiation environment [SPACE WEATHER]
Primary Convener: Richard Boynton, University of Sheffield, Sheffield, S10, United Kingdom
Conveners: Stepan Dubyagin, Finnish Meteorological Institute, Helsinki, Finland and Dmitri A Kondrashov, University of California Los Angeles, Atmos. Sci, Los Angeles, CA, United States
Primary Liaison: Richard Boynton, University of Sheffield, Sheffield, S10, United Kingdom
Particle-in-cell simulations of fast magnetosonic waves on a drift shell surface in the dipole magnetic field (500459)
Kyungguk Min, KASI Korea Astronomy and Space Science Institute, Daejeon, Korea, Republic of (South), Kaijun Liu, Southern University of Science and Technology, Shenzhen, China, Richard Eugene Denton, Dartmouth College, Department of Physics and Astronomy, Hanover, NH, United States, Scott A Boardsen, NASA Goddard SFC, Greenbelt, MD, United States and Frantisek Nemec, Charles University, Prague, 180, Czech Republic
Analysis of E x B drifts in Earth’s magnetosphere during geomagnetic reversals: potential consequences for plasmasphere behavior and stability (503732)
Joe Caggiano, University of Oregon, Earth Sciences, Eugene, OR, United States and Carol S Paty, University of Oregon, Department of Earth Sciences & Clark Honors College, Eugene, OR, United States
Modelling the Acceleration, Transport and Loss of Radiation Belt Electrons with the Rad-Sat Project (Invited) (534215)
Richard Bertram Horne1, Sarah A Glauert1, Nigel Peter Meredith1, Michael A Balikhin2, Jonathan Rae3, Clare Watt4 and Jonathan P Eastwood5, (1)British Antarctic Survey, Cambridge, United Kingdom, (2)Univ Sheffield, Sheffield, United Kingdom, (3)University College London, Mullard Space Science Laboratory, London, United Kingdom, (4)University of Reading, Reading, RG6, United Kingdom, (5)Imperial College London, Physics, London, United Kingdom
The model of outer radiation belt electron lifetimes based on combined Van Allen Probes and Cluster VLF measurements (537760)
Homayon Aryan1, Oleksiy V. Agapitov2, Anton Artemyev3, Michael A Balikhin4, Didier Mourenas5 and Richard Boynton1, (1)University of Sheffield, Sheffield, S10, United Kingdom, (2)University of California Berkeley, Berkeley, CA, United States, (3)University of California Los Angeles, Earth, Planetary, and Space Sciences, Los Angeles, CA, United States, (4)Univ Sheffield, Sheffield, United Kingdom, (5)CEA/DAM- ILE DE FRANCE, Arpajon, France
Bagging and Ensemble of Cloud-NARMAX Models for Understanding and Predicting Geomagnetic Indices (573206)
Hua-Liang Wei1, Michael A Balikhin2, Yuanlin Gu3, Simon N Walker1 and Richard Boynton1, (1)University of Sheffield, Sheffield, S10, United Kingdom, (2)Univ Sheffield, Sheffield, United Kingdom, (3)University of Sheffield, Sheffield, United Kingdom
Neural Network-Based Model of Radiation Belt Electron Flux Near GEO (579505)
Daji Landis, Deutsches GeoForschungsZentrum GFZ, Potsdam, Germany, Irina S Zhelavskaya, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany, Yuri Shprits, GFZ German Research Centre for Geosciences, Potsdam, Germany and Nikita Aseev, University of California Los Angeles, Los Angeles, CA, United States
