Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh
Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh
Key Points: • A U-Net is refined to forecast seven atmospheric variables on global scale, falling behind the state-of-the-art by only one day. • Forecasts are generated on the HEALPix mesh, facilitating the development of location invariant convolution kernels. • Without converging to climatology, the model produces stable and realistic …