169 citations
- University of California, Los AngelesUS4 papers
- University of Colorado BoulderUS4 papers
- West Virginia UniversityUS4 papers
- California Institute of TechnologyUS3 papers
- Laboratory for Atmospheric and Space PhysicsUS3 papers
- Chalmers University of TechnologySE2 papers
- Goddard Space Flight CenterUS2 papers
- KU LeuvenBE2 papers
- Max Planck Institute for AstronomyDE2 papers
- Nicolaus Copernicus Astronomical CenterPL2 papers
- Space Research InstituteRU2 papers
- Universidad Católica del NorteCL2 papers
10 papers · 1 filter
Electron Heat Flux and Whistler Instability in the Earth's Magnetosheath
Ida Svenningsson, Emiliya Yordanova, Yuri V. Khotyaintsev +4
Despite heat flux's role in regulating energy conversion in collisionless plasmas, its properties and evolution in the magnetosheath downstream of the Earth's bow shock are scarcel…
Calibrated and Enhanced NRLMSIS 2.0 Model with Uncertainty Quantification
Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer +2
The Mass Spectrometer and Incoherent Scatter radar (MSIS) model family has been developed and improved since the early 1970's. The most recent version of MSIS is the Naval Research…
Science through Machine Learning: Quantification of Poststorm Thermospheric Cooling
Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer +3
Machine learning (ML) is often viewed as a black-box regression technique that is unable to provide considerable scientific insight. ML models are universal function approximators…
The current state and future directions of modeling thermosphere density enhancements during extreme magnetic storms
Denny M. Oliveira, Eftyhia Zesta, Piyush M. Mehta +4
Satellites, crewed spacecraft and stations in low-Earth orbit (LEO) are very sensitive to atmospheric drag. A satellite's lifetime and orbital tracking become increasingly inaccura…
Relativistic electron flux model in the outer radiation belt using a neural network approach
Xiangning Chu, Donglai Ma, Jacob Bortnik +10
We present a machine-learning-based model of relativistic electron fluxes >1.8 MeV using a neural network approach in the Earth's outer radiation belt. The Outer RadIation belt Ele…
Modeling the dynamic variability of sub-relativistic outer radiation belt electron fluxes using machine learning
Donglai Ma, Xiangning Chu, Jacob Bortnik +6
We present a set of neural network models that reproduce the dynamics of electron fluxes in the range of 50 keV 1 MeV in the outer radiation belt. The Outer Radiation belt E…