Solar Storm Prediction Model
Build a predictive model for solar storms and their impact on Earth's magnetosphere.
Problem Statement
Develop a forecasting system for space weather events:
1. Data Integration
- Solar wind measurements (ACE satellite)
- Magnetometer data (ground stations)
- X-ray flux (GOES satellites)
- Coronal mass ejection (CME) imagery
2. Prediction Targets
- Geomagnetic storm intensity (Kp index)
- Aurora visibility forecasts
- Satellite communication disruptions
- GPS accuracy degradation
3. Time Horizons
- Short-term: 1-6 hours ahead
- Medium-term: 1-3 days ahead
- Alert triggers and confidence levels
4. Model Performance
- Accuracy: >80% for major storms
- False alarm rate: <20%
- Lead time: 6+ hours for warnings
5. Visualization & Alerts
- Global aurora forecast maps
- Storm progression timeline
- Impact severity indicators
- Automated notifications
Deliverables:
- Prediction model and code
- Dashboard interface
- Validation report
- Integration API