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...
Tannaz G. Chegini, E. Shivanian, Behzad Karimi et al.
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