Articles | Volume 19, issue 15
https://doi.org/10.5194/gmd-19-7135-2026
https://doi.org/10.5194/gmd-19-7135-2026
Model description paper
 | 
04 Aug 2026
Model description paper |  | 04 Aug 2026

New classes of climate model emulators to improve paleoclimate reconstructions

Auguste Gaudin and Myriam Khodri

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Cited articles

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Bank, D., Koenigstein, N., and Giryes, R.: Autoencoders, arXiv [preprint], https://doi.org/10.48550/arXiv.2003.05991, 2021. 
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Short summary
Reconstructing past climate variability requires computationally efficient models able to capture the behaviour of complex climate systems. We develop a suite of climate model emulators that improve the representation, reconstruction, and prediction of spatial climate variability compared to traditional approaches. Results highlight the importance of predictability-oriented representations and nonlinear dynamical memory for scalable emulators suited to paleoclimate data assimilation frameworks.
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