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- Princeton UniversityUS32 papers
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4 papers · 1 filter
Global geomagnetic perturbation forecasting using Deep Learning
Vishal Upendran, Panagiotis Tigas, Banafsheh Ferdousi +6
Geomagnetically Induced Currents (GICs) arise from spatio-temporal changes to Earth's magnetic field which arise from the interaction of the solar wind with Earth's magnetosphere,…
Impact angle control of local intense d/d variations during shock-induced substorms
Denny M. Oliveira, James M. Weygand, Eftyhia Zesta +7
The impact of interplanetary shocks on the magnetosphere can trigger magnetic substorms that intensify auroral electrojet currents. These currents enhance ground magnetic field per…
Toward a Next Generation Particle Precipitation Model: Mesoscale Prediction Through Machine Learning (a Case Study and Framework for Progress)
Ryan M. McGranaghan, Jack Ziegler, Téo Bloch +7
We advance the modeling capability of electron particle precipitation from the magnetosphere to the ionosphere through a new database and use of machine learning (ML) tools to gain…
Ionospheric response to Strong Geomagnetic Storms during 2000-2005: An IMF clock angle perspective
Sumanjit Chakraborty, Sarbani Ray, Abhirup Datta +1
This paper presents the equatorial ionospheric response to eleven strong-to-severe geomagnetic storms that occurred during the period 2000-2005, the declining phase of the solar cy…