Validating Model Predicted Coronal Holes with Syncronic Coronal Hole Maps

This study focuses on predicting space weather by analyzing patterns in coronal mass ejections (CMEs) from the sun. These CMEs can produce rapid solar winds, significantly impacting human activities and satellite operations. Utilizing data from NASA's Solar Dynamics Observatory (SDO, 2010) and the STEREO Observatory, we pinpointed the specific locations of coronal holes using the SDO/AIA and STEREO/EUVI instruments.

We developed a semi-manual method using Python to assess the precision of an existing automatic detection program. This approach confirmed the program's effectiveness in identifying the general shape and location of coronal holes, but also highlighted discrepancies in border delineation. Future work will investigate these discrepancies to enhance the automatic program's accuracy. This research is crucial for advancing our understanding of space weather phenomena and improving predictive models.