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An embedded bottom boundary layer formulation for z-coordinate ocean models (2000)
| Venue: | J. Ocean Atmos. Tech |
| Citations: | 5 - 1 self |
BibTeX
@ARTICLE{Song00anembedded,
author = {Y. Tony Song and Yi Chao},
title = {An embedded bottom boundary layer formulation for z-coordinate ocean models},
journal = {J. Ocean Atmos. Tech},
year = {2000},
pages = {546--560}
}
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Abstract
An embedded bottom boundary layer (EBBL) scheme is developed to improve the bottom topographic representation in z-coordinate ocean general circulation models. The EBBL scheme is based on the combined techniques of an embedded topography-following slab (Beckmann and Doscher 1997; Gnanadesikan et al. 1998), an explicit turbulent bottom boundary layer (BBL) (Killworth and Edwards 1998), and a gener-alized pressure gradient formulation (Song 1998). The coupling between the interior z-level model and the EBBL model is achieved by exchanging entrainment/detrainment and pressure gradients at the bottom layer surface which allows temporal and spatial variations. The EBBL is implemented into one of the most widely used z-coordinate models, the Modular Ocean Model (MOM). A test problem with a source of dense water on a slope is used. The new EBBL produces significantly more realistic plume spreading than the existing BBL scheme of Killworth and Edwards (1998) and is comparable to the results from a topography-following coordinate model (SCRUM, Song and Haidvogel 1994),
Keyphrases
embedded bottom boundary layer formulation z-coordinate ocean model realistic plume combined technique modular ocean model embedded topography-following slab ebbl model test problem spatial variation dense water topography-following coordinate model entrainment detrainment bottom topographic representation ebbl scheme gener-alized pressure gradient formulation explicit turbulent bottom boundary layer new ebbl z-coordinate model embedded bottom boundary layer bottom layer surface z-coordinate ocean general circulation model pressure gradient interior z-level model bbl scheme
