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Impacts of tidally driven internal mixing in the Early Eocene Ocean
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  • Jean-Baptiste Ladant,
  • Jeanne Millot-Weil,
  • Casimir de Lavergne,
  • Mattias Green,
  • Sébastien Nguyen,
  • Yannick Donnadieu
Jean-Baptiste Ladant
Laboratoire des Sciences du Climat et de l'Environnement

Corresponding Author:[email protected]

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Jeanne Millot-Weil
Laboratoire des Sciences du Climat et de l'Environnement
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Casimir de Lavergne
LOCEAN Laboratory, Sorbonne Université‐CNRS‐IRD‐MNHN,
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Mattias Green
Bangor University
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Sébastien Nguyen
Laboratoire des Sciences du Climat et de l'Environnement
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Yannick Donnadieu
CEREGE (Centre Européen de Recherche et d'Enseignement des Géosciences de l'Environnement)
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Abstract

Diapycnal mixing in the ocean interior is largely fueled by internal tides. Mixing schemes that represent the breaking of internal tides are now routinely included in ocean and earth system models applied to the modern and future. However, this is more rarely the case in climate simulations of deep-time intervals of the Earth, for which estimates of the energy dissipated by the tides are not always available. Here, we present and analyze two IPSL-CM5A2 earth system model simulations of the Early Eocene made under the framework of DeepMIP. One simulation includes mixing by locally dissipating internal tides, while the other does not. We show how the inclusion of tidal mixing alters the shape of the deep ocean circulation, and thereby of large-scale biogeochemical patterns, in particular dioxygen distributions. In our simulations, the absence of tidal mixing leads to a deep North Atlantic basin mostly disconnected from the global ocean circulation, which promotes the development of a basin-scale pool of oxygen-deficient waters, at the limit of complete anoxia. The absence of large-scale anoxic records in the deep ocean posterior to the Cretaceous anoxic events suggests that such an ocean state most likely did not occur at any time across the Paleogene. This highlights how crucial it is for climate models applied to the deep-time to integrate the spatial variability of tidally-driven mixing as well as the potential of using biogeochemical models to exclude aberrant dynamical model states for which direct proxies do not exist.
05 Dec 2023Submitted to ESS Open Archive
07 Dec 2023Published in ESS Open Archive