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Learning to Advect: A Neural Semi-Lagrangian Architecture for Weather Forecasting
Machine-learning approaches to weather forecasting often employ a monolithic architecture in which distinct physical mechanisms, such as advection, diffusive mixing, thermodynamic processes, and forcing, are represented implicitly within a single large neural network. This is particularly problemati
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