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Semi‐Automatic Tuning of Coupled Climate Models With Multiple Intrinsic Timescales: Lessons Learned From the Lorenz96 Model
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2023
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Source: Journal of Advances in Modeling Earth Systems, 15(5)
[PDF-2.32 MB]
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Journal Title:Journal of Advances in Modeling Earth Systems
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Description:The objective of this study is to evaluate the potential for History Matching (HM) to tune a climate system with multi-scale dynamics. By considering a toy climate model, namely, the two-scale Lorenz96 model and producing experiments in perfect-model setting, we explore in detail how several built-in choices need to be carefully tested. We also demonstrate the importance of introducing physical expertise in the range of parameters, a priori to running HM. Finally we revisit a classical procedure in climate model tuning, that consists of tuning the slow and fast components separately. By doing so in the Lorenz96 model, we illustrate the non-uniqueness of plausible parameters and highlight the specificity of metrics emerging from the coupling.
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Source:Journal of Advances in Modeling Earth Systems, 15(5)
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DOI:
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ISSN:1942-2466;1942-2466;
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Rights Information:CC BY-NC
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Compliance:Library
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