the PCMDI Metrics Package
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A PMP-inspired Evaluation Framework for Assessing Deep-Learning Earth System Models
arXiv:2604.06567v3 Announce Type: replace Abstract: In recent years, Deep-Learning Earth System Models (DL-ESMs) have emerged as promising, computationally efficient complements to traditional Earth system models. Here, we present an evaluation framework for testing DL-ESMs from an Earth system model-development perspective using standardized diagnostics from the PCMDI Metrics Package (PMP). This framework allows DL-ESMs, including Ai2's ACE2 and Google's NeuralGCM, to be assessed with...