This study develops a new method to reconstruct daily three-dimensional ocean temperature and salinity fields in the northwestern Pacific using only real-time sea surface temperature and height data. By combining deep learning and attention mechanisms, the approach captures complex vertical structures and temporal changes. The results provide more accurate and consistent subsurface information, helping improve ocean monitoring and climate research.