Semi-automatic tuning of coupled climate models with multiple intrinsic timescales: lessons learned from the Lorenz96 model. (arXiv:2208.06243v2 [physics.ao-ph] UPDATED)

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 …

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