Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification

Daniel Getter, Julie Bessac, Johann Rudi +1

Machine learning models have been employed to perform either physics-free data-driven or hybrid dynamical downscaling of climate data. Most of these implementations operate over re…