Semi‐Automatic Tuning of Coupled Climate Models With Multiple Intrinsic Timescales: Lessons Learned From the Lorenz96 Model

Semi‐Automatic Tuning of Coupled Climate Models With Multiple Intrinsic Timescales: Lessons Learned From the Lorenz96 Model

Abstract 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 severa...

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Bibliographic Details
Main Authors: Redouane Lguensat, Julie Deshayes, Homer Durand, Venkatramani Balaji
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2023-05-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
model tuning
Gaussian processes
surrogate modeling
history matching
Lorenz 96
uncertainty quantification
Online Access:https://doi.org/10.1029/2022MS003367

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