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

1 code implementation • 30 Nov 2022 • Daniel Getter, Julie Bessac, Johann Rudi, Yan Feng

For each downscaling factor, we consider three CNN configurations that generate super-resolved predictions of fine-scale wind speed, which take between 1 to 3 input fields: coarse wind speed, fine-scale topography, and diurnal cycle.

Super-Resolution