Spherical Physics-Informed Neural Operator with Multi-Scale Coupling for Meteorological Downscaling
The Spherical Physics-informed Neural Operator is proposed, which utilizes a Spherical Laplacian Decomposition to partition atmospheric fields into hierarchical frequency components, maintaining exact point-wise correspondence across scales.