Articles | Volume 19, issue 16
https://doi.org/10.5194/gmd-19-7767-2026
https://doi.org/10.5194/gmd-19-7767-2026
Development and technical paper
 | 
21 Aug 2026
Development and technical paper |  | 21 Aug 2026

Optimizing Gaussian process emulation and generalized additive model fitting for rapid, reproducible earth system model analysis

Kunal Ghosh and Leighton A. Regayre

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Short summary
Understanding which parts of climate models cause uncertainty requires many large computer experiments. We developed a new workflow that greatly improves the speed and efficiency of these studies. It can analyse millions of model variations up to 25 times faster without losing accuracy, allowing scientists to explore uncertainty in more detail and make climate predictions more reliable.
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