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WindINR: Latent-State INR for Fast Local Wind Query and Correction in Complex Terrain
Many decisions in complex terrain require fast wind estimates at specific locations and heights rather than dense forecasts on fixed grids. We present WindINR, a latent-state implicit neural representation framework for continuous high-resolution local wind queries and correction using sparse observ
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