An Innovative Decoupled Spatio-Vertical–Temporal Learning Model Based on Topography Guidance for Wind Vector Forecasting
A novel Topography-Guided Spatio-Vertical–Temporal Transformer for the multi-step forecasting of zonal and meridional wind vectors offers a transferable and physics-informed framework that can be adapted to other terrain-complex regions and extended to related renewable-energy and air-quality forecasting tasks.