"Embedding machine-learnt sub-grid variability improves climate model biases."

Daniel Giles et al. (2024)

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DOI: 10.48550/ARXIV.2406.09551

access: open

type: Informal or Other Publication

metadata version: 2024-07-24

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  - journals/corr/abs-2406-09551
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  - https://dblp.org/rec/journals/corr/abs-2406-09551
Daniel Giles, James Briant, Cyril Morcrette, Serge Guillas:
Embedding machine-learnt sub-grid variability improves climate model biases. CoRR abs/2406.09551 (2024)

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