SUPER-RESOLUTION MAPS OF THE SOLAR MAGNETIC FIELD CHALLENGE

Challenge Summary:
Predicting geo-effective space-weather events is challenged by the time-limited coverage of SDO data (2010-present).

This challenge proposes to address this problem by using deep learning solutions to upscale lower resolution images from earlier missions, thereby allowing for a second neural net to normalize and combine a much longer temporally-composited data product from multiple solar observation missions.