Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Parameterization of Eddy Mass Transport in the Arctic Seas based on the Sensitivity Analysis of Large-scale Flows

Version 1 : Received: 10 December 2022 / Approved: 13 December 2022 / Online: 13 December 2022 (04:19:37 CET)

A peer-reviewed article of this Preprint also exists.

Platov, G.; Iakshina, D.; Golubeva, E. Parametrization of Eddy Mass Transport in the Arctic Seas Based on the Sensitivity Analysis of Large-Scale Flows. Water 2023, 15, 472. Platov, G.; Iakshina, D.; Golubeva, E. Parametrization of Eddy Mass Transport in the Arctic Seas Based on the Sensitivity Analysis of Large-Scale Flows. Water 2023, 15, 472.

Abstract

The characteristics of the eddy mass transport are estimated depending on the values of the parameters of a large-scale flow that forms under the conditions of the shelf seas in the Arctic. For this, the results of numerical simulation of the Kara Sea with a horizontal resolution permitting the development of mesoscale eddies are used. The parameters resulting from numerical experiment are considered as a statistical sample and are analyzed using methods of sensitivity study and clustering of sample elements. Functional dependencies are obtained that are closest to the simulated distributions of quantities. These expressions make it possible, within the framework of large-scale models, to evaluate the characteristics of the cross-isobatic eddy mass transport in the diffusion approximation with a counter-gradient flux. Numerical experiments using the SibCIOM model showed that areas along the Fram branch of the Atlantic waters trajectory in the Arctic as well as the shelf of the East Siberian and Laptev seas with adjacent deep water areas are most sensitive to proposed parameterization of eddy exchanges. Accounting for counter-gradient eddy fluxes turned out to be less important.

Keywords

eddy mass transport; subgrid-scale processes; parametrization; Arctic ocean; sensitivity study; clustering

Subject

Environmental and Earth Sciences, Oceanography

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