Conecast
CME arrival modeling with HUXt and Gaussian-process surrogates
Conecast is a local, self-contained workflow for emulating coronal mass ejection (CME) arrival at Earth with HUXt and Gaussian-process surrogates.
| Project guide | Input-preparation tutorial | GitHub repository | Notebook guide |
What it does
- prepares solar-wind boundary conditions from GONG magnetograms via WSA+
- runs HUXt-based CME simulations for curated events
- trains per-event GP surrogate models for hit or miss classification and arrival-time regression
- provides tutorial notebooks and Colab entry points
| Hit probability | Arrival time | HUXt heliosphere |
|---|---|---|
 |  |  |
Conecast combines WSA+, HUXt, and Gaussian-process surrogates to turn curated CME events into reproducible forecasting experiments.
Quick start
python scripts/fetch_wsaplus_checkpoint.py
python scripts/generate_huxt_input.py --event 2017-09-06
python scripts/gp_huxt_surrogate.py --event 2017-09-06 design --n 300
python scripts/gp_huxt_surrogate.py --event 2017-09-06 run --limit 20
python scripts/gp_huxt_surrogate.py --event 2017-09-06 fit
python scripts/gp_huxt_surrogate.py --event 2017-09-06 analyze
The repository does not ship large runtime data. WSA+ checkpoints, magnetograms, boundary files, and run outputs are downloaded or generated on demand.