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Energy flux into internal lee waves: sensitivity to future climate changes using linear theory and a climate model

Citation

Melet, A and Hallberg, R and Adcroft, A and Nikurashin, M and Legg, S, Energy flux into internal lee waves: sensitivity to future climate changes using linear theory and a climate model, Journal of Climate, 28, (6) pp. 2365-2384. ISSN 0894-8755 (2015) [Refereed Article]

Copyright Statement

Copyright 2015 American Meteorological Society

DOI: doi:10.1175/JCLI-D-14-00432.1

Abstract

Internal lee waves generated by geostrophic flows over rough topography are thought to be a significant energy sink for eddies and energy source for deep ocean mixing. The sensitivity of the energy flux into lee waves from preindustrial, present, and possible future climate conditions is explored in this study using linear theory. The bottom stratification and geostrophic velocity fields needed for the calculation of the energy flux into lee waves are provided by Geophysical Fluid Dynamics Laboratory’s global coupled ocean–ice–atmosphere model, CM2G. The unresolved mesoscale eddy energy is parameterized as a function of the large-scale available potential energy. Simulations using historical and representative concentration pathway (RCP) scenarios were performed over the 1861–2200 period. The diagnostics herein suggest a decrease of the global energy flux into lee waves on the order of 20% from preindustrial to future climate conditions under the RCP8.5 scenario. In the Southern Ocean, the energy flux into lee waves exhibits a clear annual cycle with maximum values in austral winter. The long-term decrease of the global energy flux into lee waves and the annual cycle of the energy flux in the Southern Ocean are mostly due to changes in bottom velocity.

Item Details

Item Type:Refereed Article
Keywords:ocean mixing, internal waves, climate model, climate change
Research Division:Earth Sciences
Research Group:Oceanography
Research Field:Physical Oceanography
Objective Division:Environment
Objective Group:Climate and Climate Change
Objective Field:Climate Change Models
Author:Nikurashin, M (Dr Maxim Nikurashin)
ID Code:99319
Year Published:2015
Funding Support:Australian Research Council (DE150100937)
Web of Science® Times Cited:5
Deposited By:IMAS Research and Education Centre
Deposited On:2015-03-19
Last Modified:2017-11-01
Downloads:0

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