Last Updated: 06/06/2023
ORIENT
Version: 1.0A set of Earth’s radiation belt electron flux machine learning model using solar wind and geomagnetic indices as driver.
Caveats:
The real-time of geomagnetic indices might be inaccurate and not accessible. e.g., Real time AE & AL might be not accessible.
Inputs
Time average of solar wind indices (Flow speed and Pressure), geomagnetic indices(AL or AE, SYM-H), location (MLT,MLAT,L)
Outputs
Electron flux at specific energy
Model is time-dependant.
Domains
- Magnetosphere / Inner Magnetosphere / RingCurrent
- Magnetosphere / Inner Magnetosphere / RadiationBelt
Space Weather Impacts
- Near-earth radiation and plasma environment (aerospace assets functionality)
Publications
- Ma, D., Chu, X., Bortnik, J., Claudepierre, S. G., Tobiska, W. K., Cruz, A., et al. (2022). Modeling the dynamic variability of sub-relativistic outer radiation belt electron fluxes using machine learning. Space Weather, 20, e2022SW003079. https://doi.org/10.1029/2022SW003079
- Chu, X., Ma, D., Bortnik, J., Tobiska, W. K., Cruz, A., Bouwer, S. D., et al. (2021). Relativistic electron model in the outer radiation belt using a neural network approach. Space Weather, 19, e2021SW002808. https://doi.org/10.1029/2021SW002808
Code
Code Languages: python
Contacts
- Donglai Ma, UCLA (Model Developer)
- Jacob Bortnik, UCLA (Model Developer)
- Yihua Zheng, NASA GSFC CCMC (CCMC Model Host)
Publication Policy
UCLA Atmospheric & Oceanic Science, Bortnik’s Group
In addition to any model-specific policy, please refer to the General Publication Policy.