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Evaluating Predictor-Corrector Dependence in Hard-Constrained Climate Emulators
Climate emulators often enforce physical constraints by correcting each state predicted by a neural network, but evaluating only the corrected forecast conflates predictor skill with the effect of the correction. We introduce an evaluation framework that separates these contributions by comparing co
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