WindINR achieves continuous high-resolution local wind queries and sparse-observation correction in complex terrain by updating only a compact latent state, delivering 2.6x speedup over full-network fine-tuning in OSSEs over Senja.
Vae-var: Variational autoencoder- enhanced variational methods for data assimilation in meteorology
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WindINR: Latent-State INR for Fast Local Wind Query and Correction in Complex Terrain
WindINR achieves continuous high-resolution local wind queries and sparse-observation correction in complex terrain by updating only a compact latent state, delivering 2.6x speedup over full-network fine-tuning in OSSEs over Senja.