Sig-PCA combines path signatures, PCA, neural networks, and deep kriging to correct climate model outputs using sparse observations, improving distributional and spatial correlation match.
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Summary Statistics of Large-scale Model Outputs for Observation-corrected Outputs
Sig-PCA combines path signatures, PCA, neural networks, and deep kriging to correct climate model outputs using sparse observations, improving distributional and spatial correlation match.