Global Electron Precipitation Driven by Whistler Mode Waves Using a Combination of Deep Learning and Physics-Based Models

2024 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)(2024)

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摘要
Wave-particle interactions play a pivotal role in determining the radiation belt electron evolution, especially during periods of geomagnetically disturbed times. When electrons are scattered into the loss cone, they undergo precipitation into Earth's atmosphere and consequently are lost from the magnetosphere. This process significantly affects the physical and chemical processes in the atmosphere, as well as the radiation belt dynamics in the magnetosphere. However, due to limited observational data of wave activity in space, quantifying the amount of electron precipitation loss from wave-particle interactions-especially when compared to precipitating electron fluxes observed by low-Earth-orbit (LEO) satellites-poses a substantial challenge and is often limited to a few individual conjunction events.
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关键词
Deep Learning Models,Combination Of Deep Learning,Electron Precipitation,Whistler-mode Waves,Active Space,Earth’s Atmosphere,Atmospheric Processes,Space Weather,Total Electron Density,Earth’s Magnetosphere
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