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Earth observation embeddings are effective sub-grid descriptors for probabilistic weather downscaling

Sousa, Pedro et al.
arXiv (All) · Papers
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atmospheric-and-oceanic-physicsmachine-learning
Global weather reanalyses and forecasts resolve the evolving atmospheric state on coarse grids, but site-specific applications require predictions at arbitrary locations where near-surface conditions also depend on unresolved terrain and land-surface properties. Existing probabilistic downscalers ad
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