Enhanced generation of internal tides under global warming

A primary driver of deep-ocean mixing is breaking of internal tides generated via interactions of barotropic tides with topography. It is important to understand how the energy conversion from barotropic to internal tides responds to global warming. Here we address this question by applying a linear model of internal tide generation to coupled global climate model simulations under a high carbon emission scenario. The energy conversion to high-mode internal tides is projected to rise by about 8% by the end of the 21st century, whereas the energy conversion to low-mode internal tides remains nearly unchanged. The intensified near-bottom stratification under global warming increases energy conversion into both low and high-mode internal tides. In contrast, the intensified depth-averaged stratification reduces the modal horizontal wavenumber of internal tides, leading to increased (decreased) energy conversion into high (low)- mode internal tides. Our findings imply stronger mixing over rough topography under global warming, which should be properly parameterized in climate models for more accurate projections of future climate changes. The authors use a linear model of internal tide generation and an ensemble of coupled global climate model simulations under a high emission scenario, and find a significant enhancement of energy conversion to high-mode internal tides by the end of the 21st century.

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Publication Details

Journal
Nature Communications
Published
2024-09-03
DOI
https://doi.org/10.1038/s41467-024-52073-3
Citations
7
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
3.37

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article

Enhanced generation of internal tides under global warming

Hui Sun, Zhibin Yang, Zhao Jing, Casimir de Lavergne et al.
7 citations
Nature Communications
Oceanographic and Atmospheric Processes
3.37
article

Enhanced generation of internal tides under global warming

Hui Sun, Zhibin Yang, Zhao Jing, Casimir de Lavergne, Clément Vic, Xiaoming Zhai, Man Yuan
article en
7 citations

Abstract

A primary driver of deep-ocean mixing is breaking of internal tides generated via interactions of barotropic tides with topography. It is important to understand how the energy conversion from barotropic to internal tides responds to global warming. Here we address this question by applying a linear model of internal tide generation to coupled global climate model simulations under a high carbon emission scenario. The energy conversion to high-mode internal tides is projected to rise by about 8% by the end of the 21st century, whereas the energy conversion to low-mode internal tides remains nearly unchanged. The intensified near-bottom stratification under global warming increases energy conversion into both low and high-mode internal tides. In contrast, the intensified depth-averaged stratification reduces the modal horizontal wavenumber of internal tides, leading to increased (decreased) energy conversion into high (low)- mode internal tides. Our findings imply stronger mixing over rough topography under global warming, which should be properly parameterized in climate models for more accurate projections of future climate changes. The authors use a linear model of internal tide generation and an ensemble of coupled global climate model simulations under a high emission scenario, and find a significant enhancement of energy conversion to high-mode internal tides by the end of the 21st century.

Nature CommunicationsVol. 15(1)
University of East Anglia (GB), Centre National de la Recherche Scientifique (FR), Ifremer (FR), Université de Bretagne Occidentale (FR), Sorbonne Université (FR), Laboratory for Ocean Physics and Satellite Remote Sensing (FR), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (FR), Institut Universitaire Européen de la Mer (FR), Institut de Recherche pour le Développement (FR), Laoshan Laboratory, Ocean University of China (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 8%
Oceanographic and Atmospheric Processes
3.37
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