AI Model for AR Emergence (VIDEO)
Caption
This visualization shows the emergence of solar active region AR11158 using observations of the Sun's magnetic field, continuum intensity and acoustic power derived from Doppler-velocity measurements. Warm and cool colors represent opposite magnetic polarities. The tracked region is divided into smaller patches to monitor changes over time. A drop in acoustic power appears first, providing an early signature of active-region emergence, followed by changes in continuum intensity and magnetic field as the active region becomes visible. The visualization illustrates the data analysis pipeline used by EarlyDetect, the machine learning model developed to forecast active-region emergence. The model is not yet operational.
Credit
Irina N. Kitiashvili (NASA Ames Research Center) and Spiridon Kasapis (Princeton University).
Usage Restrictions
To be used only accompanying coverage of this study.
License
Original content