30 citations · 63 across the 12 of their papers we have counts for
3 papers · 1 filter
Harnessing expressive capacity of Machine Learning modeling to represent complex coupling of Earth's auroral space weather regimes
Jack Ziegler, Ryan M. Mcgranaghan
We develop multiple Deep Learning (DL) models that advance the state-of-the-art predictions of the global auroral particle precipitation. We use observations from low Earth orbitin…
Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition
Panagiotis Tigas, Téo Bloch, Vishal Upendran +6
Modeling and forecasting the solar wind-driven global magnetic field perturbations is an open challenge. Current approaches depend on simulations of computationally demanding model…
Critical Risk Indicators (CRIs) for the electric power grid: A survey and discussion of interconnected effects
Judy P. Che-Castaldo, Rémi Cousin, Stefani Daryanto +15
The electric power grid is a critical societal resource connecting multiple infrastructural domains such as agriculture, transportation, and manufacturing. The electrical grid as a…