Application of the GWR Method to the Tropical Indian OceanSource: Monthly Weather Review:;2001:;volume( 129 ):;issue: 003::page 470Author:Jensen, Tommy G.
DOI: 10.1175/1520-0493(2001)129<0470:AOTGMT>2.0.CO;2Publisher: American Meteorological Society
Abstract: The gravity wave retardation (GWR) method is a simple technique that allows layer models to include bottom topography. Here the method is applied, and its accuracy is evaluated, for monthly climatological wind forcing in an Indian Ocean model with realistic bottom topography. This is an extension of previous studies where the GWR method was applied to idealized wind forcing in oceans with idealized basin geometry. Comparison to a model integration with a flat bottom demonstrates that GWR integrations with speedup factors of up to 16 indeed capture the influence of the bottom relief and have less error in the deep volume transports. For a speedup factor of that magnitude, a GWR integration is also found to have less error than a reduced gravity model simulation. It is concluded that integrations using the GWR method give remarkably good results for the upper-layer circulation as well as the deep flow with a speedup factor of up to 8.
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contributor author | Jensen, Tommy G. | |
date accessioned | 2017-06-09T16:13:32Z | |
date available | 2017-06-09T16:13:32Z | |
date copyright | 2001/03/01 | |
date issued | 2001 | |
identifier issn | 0027-0644 | |
identifier other | ams-63685.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4204715 | |
description abstract | The gravity wave retardation (GWR) method is a simple technique that allows layer models to include bottom topography. Here the method is applied, and its accuracy is evaluated, for monthly climatological wind forcing in an Indian Ocean model with realistic bottom topography. This is an extension of previous studies where the GWR method was applied to idealized wind forcing in oceans with idealized basin geometry. Comparison to a model integration with a flat bottom demonstrates that GWR integrations with speedup factors of up to 16 indeed capture the influence of the bottom relief and have less error in the deep volume transports. For a speedup factor of that magnitude, a GWR integration is also found to have less error than a reduced gravity model simulation. It is concluded that integrations using the GWR method give remarkably good results for the upper-layer circulation as well as the deep flow with a speedup factor of up to 8. | |
publisher | American Meteorological Society | |
title | Application of the GWR Method to the Tropical Indian Ocean | |
type | Journal Paper | |
journal volume | 129 | |
journal issue | 3 | |
journal title | Monthly Weather Review | |
identifier doi | 10.1175/1520-0493(2001)129<0470:AOTGMT>2.0.CO;2 | |
journal fristpage | 470 | |
journal lastpage | 485 | |
tree | Monthly Weather Review:;2001:;volume( 129 ):;issue: 003 | |
contenttype | Fulltext |