Using neural networks to improve simulations in the gray zone
Machine learning represents a potential method to cope with the gray zone problem of representing motions in dynamical systems on scales comparable to the model resolution.Here we explore the possibility of using a neural network to directly learn read more the error caused by unresolved scales.We use a modified shallow water model which includes h