Physics-informed machine learning framework achieving cross-hemispheric transfer in airport fog prediction. Trained on Santiago, Chile (SCEL) and validated at Puerto Montt (SCTE), San Francisco (KSFO), and London (EGLL), the model learns radiative balance, boundary-layer stability, and thermodynamic processes without using geographic coordinates.