AI studies 100 years of Sun images to track bright solar regions from the Kodaikanal Solar Observatory
AI Enhances Solar Activity Studies Using Historical Data
Artificial Intelligence has been used to trace the shift in magnetically active patches on the Sun from 1916 to 2007 by scanning 100 years of hand-drawn Sun records from the Kodaikanal Solar Observatory (KoSO). This could give a much longer view of how solar activity changes over time.
For over a hundred years, scientists have tried to understand the Sun’s magnetic activity cycles, which affect sunspots, flares, and eruptions. Disruptions caused by these cycles impact satellites, navigation systems, and power grids on Earth.
This research directly pertains to understanding solar activity and its impact on Earth, relevant for both environmental studies and technological assessments in UPSC exams.
