On the importance of learning non-local dynamics for stable data-driven climate modeling: A 1D gravity wave-QBO testbed

Hamid A. Pahlavan, Pedram Hassanzadeh, M. Joan Alexander

Machine learning (ML) techniques, especially neural networks (NNs), have shown promise in learning subgrid-scale parameterizations for climate models. However, a major problem with…