Enhanced generation of internal tides under global warming

Yang, Zhibin, Jing, Zhao, Zhai, Xiaoming, Vic, Clément, Sun, Hui, de Lavergne, Casimir and Yuan, Man (2024) Enhanced generation of internal tides under global warming. Nature Communications, 15. ISSN 2041-1723

Preview

PDF (Yang_etal_2024_NatureComms) - Published Version Available under License Creative Commons Attribution. Download (2MB) | Preview

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.

Item Type:	Article
Additional Information:	Data availability statement: All data needed to evaluate the conclusions in the paper can be downloaded from the following links: WOA18: https://www.ncei.noaa.gov/products/world-ocean-atlas37; SRTM15+: https://figshare.com/articles/online_resource/Tozer_et_al_2019_SRTM15_GMT_Grids/797978047; CMIP6 models: https://esgf-node.llnl.gov/search/cmip6/24; TPXO8: https://www.tpxo.net/global50. Source data of the main figures is provided with this paper. Source data are provided with this paper. Code availability: Code link to reproduce the results: https://doi.org/10.5281/zenodo.13346979. Funding information: This work was supported by the National Natural Science Foundation of China (42325601 and 92358303 to Z.J. and 42306013 to Z.Y.), and Marine S&T Fund of Shandong Province for Laoshan Laboratory (2022QNLM010302 to Z.J.). Computational resources were provided by Laoshan Laboratory.
Faculty \ School:	Faculty of Science > School of Environmental Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	27 Aug 2024 12:30
Last Modified:	02 Oct 2024 23:59
URI:	https://ueaeprints.uea.ac.uk/id/eprint/96352
DOI:	10.1038/s41467-024-52073-3

Downloads

Actions (login required)

View Item