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https://github.com/kingabzpro/magnet-model-the-geomagnetic-field
In this challenge, your task is to develop models for forecasting Dst that push the boundary of predictive performance, under operationally viable constraints, using the real-time solar-wind (RTSW) data feeds from NOAA’s DSCOVR and NASA’s ACE satellites. Improved models can provide more advanced warning of geomagnetic storms and reduce errors in magnetic navigation systems.
https://github.com/kingabzpro/magnet-model-the-geomagnetic-field
deep-neural-networks forecasting-dst geomagnetic geomagnetic-storms nasa noaa satellites time-series
Last synced: about 1 month ago
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In this challenge, your task is to develop models for forecasting Dst that push the boundary of predictive performance, under operationally viable constraints, using the real-time solar-wind (RTSW) data feeds from NOAA’s DSCOVR and NASA’s ACE satellites. Improved models can provide more advanced warning of geomagnetic storms and reduce errors in magnetic navigation systems.
- Host: GitHub
- URL: https://github.com/kingabzpro/magnet-model-the-geomagnetic-field
- Owner: kingabzpro
- License: mit
- Created: 2021-05-31T16:20:10.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-06-26T09:45:55.000Z (over 3 years ago)
- Last Synced: 2024-01-27T10:18:07.718Z (11 months ago)
- Topics: deep-neural-networks, forecasting-dst, geomagnetic, geomagnetic-storms, nasa, noaa, satellites, time-series
- Language: Jupyter Notebook
- Homepage:
- Size: 22.8 MB
- Stars: 4
- Watchers: 1
- Forks: 1
- Open Issues: 1