🧲 Tormenta

A machine-learning nowcast of the geomagnetic Kp index (0–9) from solar-wind measurements taken about an hour upstream of Earth. CT-378 Machine Learning, NED University, Fall 2026 · Alizeh & HRK.

Results on unseen years (2020 to Jan 2026)

0.573RMSE (Kp units)
0.808R²
34%lower error than persistence
80.8%coverage of the 80% range
Nowcast of the May 2024 storm compared with observed Kp
The May 2024 storm, the strongest in 20 years, which the model never saw in training. Predicted peak 8.6, observed 9.

How it works

Model comparison (test years)

ModelRMSER²RMSE on storm hours
Persistence (previous Kp)0.8620.5661.368
Linear Regression0.6650.7421.470
KNN0.6570.7481.337
SVR0.6050.7861.079
Random Forest0.6060.7850.972
HistGradientBoosting0.5730.8080.846
Error and bias by storm level for each model
Error by storm level. Every model under-predicts the largest storms, and HistGradientBoosting the least.

Live check

Live nowcast compared with GFZ and NOAA Kp over five days
Real-time snapshot, 25–30 Oct 2026: RMSE 0.59 against GFZ quick-look Kp, in line with the test error.

Limitations