2024
Validating Climate Models with Spherical Convolutional Wasserstein Distance
NeurIPS 2024spotlight
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. This new similarity measure accounts for spati…