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Author

Mike Pritchard

2 papers indexed here

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Open access Sep 2026

Probabilistic multi-fidelity climate model parameterization for better generalization

It is shown that a multi-fidelity approach can provide the best of both worlds: it generalizes to a warmer climate for which high fidelity data are not available, guided by abundant low-fidelity data from an even warmer climate, while retaining the accuracy of high-fidelity data, by learning a nonlinear mapping from lo...

B. Balogh, M. A. Bhouri, L. Peng et al. · 0 citations
#machine learning Preprint Oct 2026

ClimateBench v2.0: Probabilistic Climate Model Benchmarking

We present ClimateBench v2, a standardized protocol for evaluating climate models on diagnostics expected to be informative for their skill in projecting mid-century regional temperature and precipitation changes. The protocol is designed to evaluate any physics-based, data-driven, or hybrid climate model on equal foot...

Duncan Watson-Parris, Willa Tobin, Aytaç Paçal et al. · 0 citations

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