FDL 2019: LIVING WITH OUR STAR
SUPER-RESOLUTION MAPS OF SOLAR MAGNETIC FIELD COVERING 40 YEARS OF SPACE WEATHER EVENTS

Predicting geoeffective 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.