Tannaz G. Chegini

Sparse-Observation Atmospheric Thermal Forecasting with Physics-Informed Neural Networks for Climate-Aware Digital Twins

Evaluated physics-informed neural network for potential-temperature forecasting is constrained by a pressure-coordinate thermodynamic advection-source equation and a diabatic-source closure fit from the preceding 12-hour period and frozen before future-time training, indicating that the physics constraint's benefit gro...