Preprint
Sep 2026
GCMagicc v1: a fast generative emulator for multivariate climate-impact ensembles
GCMagicc is a hybrid model that pairs a simple physical climate model with machine learning to generate ensembles of 10 climate variables at the resolution of full-scale Earth system models, without relying on GPU resources or retraining for new scenarios.
N. Meinshausen, M. Meinshausen, J. Lewis et al.
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