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For both datasets, the projection layer is a 2D convolutional layer with a unitary kernel size used to increase the number of channels, and the analysis is a sequence of four 2D adaptive Fourier neural operator (AFNO) blocks (following Pathak et al., 2022), used to extract relevant features