AI RESEARCH
STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting
arXiv CS.AI
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ArXi:2509.25210v3 Announce Type: replace-cross To gain finer regional forecasts, many works have explored the regional integration from the global atmosphere, e.g., by solving boundary equations in physics-based methods or cropping regions from global forecasts in data-driven methods. However, the effectiveness of these methods is often constrained by static and imprecise regional boundaries, resulting in poor generalization ability.