Learning

Solar Flare and CME Forecasting with Machine Learning

Solar Flares and CMEs: Physics and Eruptive Processes → Capstone: Developing and Validating a Forecasting Model

This learning path guides graduate students in solar physics through the development and application of forecasting methods for solar flares and coronal mass ejections (CMEs). It covers essential observational data, active region analysis, statistical validation, and machine learning techniques, culminating in the design and evaluation of a forecasting model.