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Statements Author contributions Both authors contributed equally to this work

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Specifically, convolutional neural networks (CNNs) are particularly well suited for handling spatially distributed data and for the super-resolution task and being able to capture complex, nonlinear mappings identifying crucial features and have already been successfully applied to weather downscaling (e.g., Bao Medina et al., 2020

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