The Solar Dynamics Observatory (SDO) is a NASA mission to understand the influence of the Sun on the Earth and near-Earth space by studying the solar atmosphere in extreme detail.

SDO hosts three scientific experiments that combine to offer an unprecedented view of our closest star over a broad range of wavelengths. SDO’s combination of multiple instruments and a large temporal baseline make it an ideal candidate for a multi-modal foundation model - a new category of machine learning models trained with large-scale data so that it is generalizable for a large range of use-cases. 

An SDO Foundation Model would streamline many investigations, improve access to large datasets, and potentially unlock yet unidentified physical relationships.  The SDO Foundation Model can be a powerful tool for the Heliophysics community where the integration of AIA, HMI and EVE would create an ML-enabled Digital Twin of the Sun’s complex physical interactions. 

The project will build an end-to-end SDO Foundation Model and adaptors which will be a trailblazer example for the safe application of AI to NASA data.