Validating Climate Models with Spherical Convolutional Wasserstein Distance Robert C. Garrett 1 Trevor Harris
–Neural Information Processing Systems
The validation of global climate models is crucial to ensure the accuracy and efficacy of model output. We introduce the spherical convolutional Wasserstein distance to more comprehensively measure differences between climate models and reanalysis data.
Neural Information Processing Systems
Nov-19-2025, 13:56:38 GMT
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