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M2Weather introduces a benchmark for joint multi-station and multi-variable weather forecasting, collecting 2,809 stations across France, Europe, and Global scales, and proposing a plug-and-play adapter that improves forecasting by modeling station-variable relationships.
StationPDE is a station-oriented surface PDE learning model for multi-station multivariate weather forecasting that constructs terrain-aware continuous fields and models physical dynamics to outperform state-of-the-art baselines with a 9.6% MSE reduction.