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Filtering by: Keyword machine learning, neural network

Dataset for "Energetic Electron Flux Predictions in the near-Earth Plasma Sheet from Solar Wind Driving"

Creator:

Swiger, Brian M, Liemohn, Liemohn W, Ganushkina, Natalia Y, and Dubyagin, Stepan V

Description:

The data included are those that were used in the creation of a model described in the manuscript titled "Predictions of Electron Flux in the near-Earth Plasma Sheet from Solar Wind Driving" by Swiger et al., 2022, published in the Space Weather Journal. doi: pending, TBD and The manuscript describes the development and assessment of a model that predicts electron flux (from 83 eV to 93 keV energies) in a region of Earth's magnetosphere called the plasma sheet. The model uses inputs of solar wind parameters including, but not limited, to solar wind speed and the interplanetary magnetic field.

Keyword:

magnetosphere plasma, machine learning, neural network, space weather forecasting, electrons in space, Earth's plasma sheet, and solar wind driving of magnetosphere

Citation to related publication:

Swiger, B. M., Liemohn, M. W., Ganushkina, N. Y., & Dubyagin, S. V. (2022). Energetic electron flux predictions in the near-Earth plasma sheet from solar wind driving. Space Weather, 20, e2022SW003150. https://doi.org/10.1029/2022SW003150

Discipline:

Science