Subramanian, Aneesh C.
Kartadikaria, Aditya R.
KAUST DepartmentBeacon Development Company
Earth Fluid Modeling and Prediction Group
Earth Science and Engineering Program
Physical Science and Engineering (PSE) Division
Red Sea Research Center (RSRC)
Online Publication Date2016-07-10
Print Publication Date2016-07
Permanent link to this recordhttp://hdl.handle.net/10754/614396
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AbstractThe budget of eddy kinetic energy (EKE) in the Red Sea, including the sources, redistributions and sink, is examined using a high-resolution eddy-resolving ocean circulation model. A pronounced seasonally varying EKE is identified, with its maximum intensity occurring in winter, and the strongest EKE is captured mainly in the central and northern basins within the upper 200 m. Eddies acquire kinetic energy from conversion of eddy available potential energy (EPE), from transfer of mean kinetic energy (MKE), and from direct generation due to time-varying (turbulent) wind stress, the first of which contributes predominantly to the majority of the EKE. The EPE-to-EKE conversion occurs almost in the entire basin, while the MKE-to-EKE transfer appears mainly along the shelf boundary of the basin (200 miso-bath) where high horizontal shear interacts with topography. The EKE generated by the turbulent wind stress is relatively small and limited to the southern basin. All these processes are intensified during winter, when the rate of energy conversion is about four to five times larger than that in summer. The EKE is redistributed by the vertical and horizontal divergence of energy flux and the advection of the mean flow. As a main sink of EKE, dissipation processes is ubiquitously found in the basin. The seasonal variability of these energy conversion terms can explain the significant seasonality of eddy activities in the Red Sea. This article is protected by copyright. All rights reserved.
CitationThe eddy kinetic energy budget in the Red Sea 2016 Journal of Geophysical Research: Oceans
SponsorsThe research reported in this manuscript was supported by King Abdullah University of Science and Technology (KAUST) and made use of the resources of the Supercomputing Laboratory and computer clusters at KAUST. The data used in this study may be obtained from the authors upon request (email@example.com).
PublisherAmerican Geophysical Union (AGU)