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A method for preserving large-scale flow patterns in low-resolution ocean simulations

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Title: A method for preserving large-scale flow patterns in low-resolution ocean simulations
Authors: Shevchenko, I
Berloff, P
Item Type: Journal Article
Abstract: It is typical for low-resolution simulations of the ocean to miss not only small- but also large-scale patterns of the flow dynamics compared with their high-resolution analogues. It is usually attributed to the inability of coarse-grid models to properly reproduce the effects of the unresolved small-scale dynamics on the resolved large scales. In part, the reason for that is that coarse-grid models fail to at least keep the coarse-grid solution within the region of phase space occupied by the true solution (the high-resolution solution projected onto the coarse grid). In this paper we offer a solution to this problem by computing the image point in the phase space restricted to the region of the true flow dynamics. The proposed method shows encouraging results for both low- and high-dimensional phase spaces, it takes a near-zero effort to implement into existing numerical codes and has ample room for further improvements.
Issue Date: 1-May-2021
Date of Acceptance: 16-Mar-2021
URI: http://hdl.handle.net/10044/1/88765
DOI: 10.1016/j.ocemod.2021.101795
ISSN: 1463-5003
Publisher: Elsevier BV
Start Page: 1
End Page: 6
Journal / Book Title: Ocean Modelling
Volume: 161
Copyright Statement: Crown Copyright © 2021 Published by Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor/Funder: Natural Environment Research Council (NERC)
The Leverhulme Trust
Natural Environment Research Council (NERC)
Natural Environment Research Council (NERC)
Funder's Grant Number: NE/R011567/1
RPG-2019-024
NE/T002220/1
EP/V520354/1
Keywords: 0405 Oceanography
0911 Maritime Engineering
Oceanography
Publication Status: Published
Article Number: ARTN 101795
Online Publication Date: 2021-03-26
Appears in Collections:Applied Mathematics and Mathematical Physics
Grantham Institute for Climate Change
Mathematics



This item is licensed under a Creative Commons License Creative Commons