Deep mixed ocean volume in the Labrador Sea in highresMIP models

Koenigk, Torben; Fuentes-Franco, Ramon; Meccia, Virna L.; Gutjahr, Oliver; Jackson, Laura C.; New, Adrian ORCID:; Ortega, Pablo; Roberts, Christopher D.; Roberts, Malcolm J.; Arsouze, Thomas; Iovino, Doroteaciro; Moine, Marie-Pierre; Sein, Dmitry V.. 2021 Deep mixed ocean volume in the Labrador Sea in highresMIP models. Climate Dynamics.

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Simulations from seven global coupled climate models performed at high and standard resolution as part of the high resolution model intercomparison project (HighResMIP) are analyzed to study deep ocean mixing in the Labrador Sea and the impact of increased horizontal resolution. The representation of convection varies strongly among models. Compared to observations from ARGO-foats and the EN4 data set, most models substantially overestimate deep convection in the Labrador Sea. In four out of fve models, all four using the NEMO-ocean model, increasing the ocean resolution from 1° to 1/4° leads to increased deep mixing in the Labrador Sea. Increasing the atmospheric resolution has a smaller efect than increasing the ocean resolution. Simulated convection in the Labrador Sea is mainly governed by the release of heat from the ocean to the atmosphere and by the vertical stratifcation of the water masses in the Labrador Sea in late autumn. Models with stronger sub-polar gyre circulation have generally higher surface salinity in the Labrador Sea and a deeper convection. While the high-resolution models show more realistic ocean stratifcation in the Labrador Sea than the standard resolution models, they generally overestimate the convection. The results indicate that the representation of sub-grid scale mixing processes might be imperfect in the models and contribute to the biases in deep convection. Since in more than half of the models, the Labrador Sea convection is important for the Atlantic Meridional Overturning Circulation (AMOC), this raises questions about the future behavior of the AMOC in the models.

Item Type: Publication - Article
Digital Object Identifier (DOI):
Programmes: NOC Programmes > Marine Systems Modelling
ISSN: 0930-7575
Date made live: 24 Aug 2021 12:32 +0 (UTC)

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