Reduced Warm Bias in the Surface Southern Ocean by Improved Parameterization of Wind‐Driven Vertical Mixing in an Eddy‐Resolving Coupled Global Climate Model

Abstract The sea surface temperature (SST) in the Southern Ocean (SO) exerts widespread effects on the climate. Yet there is a persistent warm SST bias in the SO across generations of coupled global climate models (CGCMs). Existing literature blames such bias primarily on the deficiencies of model‐simulated atmospheric processes or basin‐scale ocean circulations. In this study, we show that the warm SST bias in the SO can be mitigated by parameterizing the vertical mixing induced by wind‐driven near‐inertial internal waves (NIWs) in the thermocline. By representing NIW‐induced vertical mixing in the thermocline of an eddy‐resolving CGCM, the warm SST bias in the SO is significantly reduced due to the enhanced downward heat flux from the surface boundary layer to the ocean interior. Our findings provide a new pathway to alleviate the warm SST bias in the SO, helping in improving the fidelity of model projected future climate changes.

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Publication Details

Journal
Geophysical Research Letters
Published
2025-09-16
DOI
https://doi.org/10.1029/2025gl115504
Primary Topic
Climate variability and models
Type
article
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article

Reduced Warm Bias in the Surface Southern Ocean by Improved Parameterization of Wind‐Driven Vertical Mixing in an Eddy‐Resolving Coupled Global Climate Model

Tianshi Du, Zhao Jing, Fengfei Song, Haiyuan Yang et al.
Geophysical Research Letters
Climate variability and models
article

Reduced Warm Bias in the Surface Southern Ocean by Improved Parameterization of Wind‐Driven Vertical Mixing in an Eddy‐Resolving Coupled Global Climate Model

Tianshi Du, Zhao Jing, Fengfei Song, Haiyuan Yang, Man Yuan, Lixin Wu, Hong Wang, Zhuoran Li, Zhuo Song
article en

Abstract

Abstract The sea surface temperature (SST) in the Southern Ocean (SO) exerts widespread effects on the climate. Yet there is a persistent warm SST bias in the SO across generations of coupled global climate models (CGCMs). Existing literature blames such bias primarily on the deficiencies of model‐simulated atmospheric processes or basin‐scale ocean circulations. In this study, we show that the warm SST bias in the SO can be mitigated by parameterizing the vertical mixing induced by wind‐driven near‐inertial internal waves (NIWs) in the thermocline. By representing NIW‐induced vertical mixing in the thermocline of an eddy‐resolving CGCM, the warm SST bias in the SO is significantly reduced due to the enhanced downward heat flux from the surface boundary layer to the ocean interior. Our findings provide a new pathway to alleviate the warm SST bias in the SO, helping in improving the fidelity of model projected future climate changes.

Geophysical Research LettersVol. 52(18)
China Meteorological Administration (CN), Laoshan Laboratory, Ocean University of China (CN)
Openalex Percentile: Top 76%
Climate variability and models
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