Browsing by Subject "Kalman filter"
Now showing items 1-3 of 3
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A Combined Neural Network‐ and Physics‐Based Approach for Modeling Plasmasphere Dynamics
; ; (Journal of Geophysical Research: Space Physics, 2021-03-16)
In recent years, feedforward neural networks (NNs) have been successfully applied to reconstruct global plasmasphere dynamics in the equatorial plane. These neural network‐based models capture the large‐scale dynamics of ... -
Identifying Radiation Belt Electron Source and Loss Processes by Assimilating Spacecraft Data in a Three-Dimensional Diffusion Model
; ; ; ; ; (Journal of Geophysical Research: Space Physics, 2020)
Data assimilation aims to blend incomplete and inaccurate data with physics-based dynamical models. In the Earth's radiation belts, it is used to reconstruct electron phase space density, and it has become an increasingly ... -
Quantifying the Effects of EMIC Wave Scattering and Magnetopause Shadowing in the Outer Electron Radiation Belt by Means of Data Assimilation
; ; ; (Journal of Geophysical Research: Space Physics, 2020)
In this study we investigate two distinct loss mechanisms responsible for the rapid dropouts of radiation belt electrons by assimilating data from Van Allen Probes A and B and Geostationary Operational Environmental ...