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Understanding Perturbed Parameter Ensemble Sensitivities Using A Contrastive Learning Approach
Perturbed parameter ensembles (PPEs) reveal how physics parameters affect climate simulations, but interpreting parameter sensitivities across multivariate, spatially structured outputs remains challenging, particularly when calibrating models against observations. We develop an explainable contrast
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