Dimensionality-Reduction of Climate Data using Deep Autoencoders

J. A. Saenz, N. Lubbers, N. M. Urban

We explore the use of deep neural networks for nonlinear dimensionality reduction in climate applications. We train convolutional autoencoders (CAEs) to encode two temperature fiel…