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

Lguensat, Redouane; Deshayes, Julie; Durand, Homer; Balaji, Venkatramani

doi:10.1029/2022ms003367

i

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

Supporting Files

2023
By Lguensat, Redouane ; Deshayes, Julie ; Durand, Homer ; ...

Details

Journal Title:

Journal of Advances in Modeling Earth Systems
Personal Author:

Lguensat, Redouane ; Deshayes, Julie ; Durand, Homer ; Balaji, Venkatramani
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; GFDL (Geophysical Fluid Dynamics Laboratory)
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.
Keywords:

Environmental Chemistry General Earth And Planetary Sciences Global And Planetary Change General Earth And Planetary Sciences Global And Planetary Change General Earth And Planetary Sciences Global And Planetary Change
Source:

Journal of Advances in Modeling Earth Systems, 15(5)
DOI:

https://doi.org/10.1029/2022ms003367
ISSN:

1942-2466 ; 1942-2466
Format:

PDF
Publisher:

American Geophysical Union (AGU)
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by-nc/4.0/
Rights Information:

CC BY-NC
Compliance:

Library
Main Document Checksum:

urn:sha256:044afe9401b3db9fe9e4df69702b7eb9d873e45a169fa2b03a3ab520e6b63acd
Download URL:

https://repository.library.noaa.gov/view/noaa/53825/noaa_53825_DS1.pdf
File Type:

[PDF - 2.32 MB ]

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