The Direct Breaking of Internal Waves at Steep Topography

被引:27
|
作者
Klymak, Jody M. [1 ]
Legg, Sonya [2 ]
Alford, Matthew H. [3 ,4 ]
Buijsman, Maarten [2 ]
Pinkel, Robert [5 ]
Nash, Jonathan D. [6 ]
机构
[1] Univ Victoria, Sch Earth & Ocean Sci, Victoria, BC V8W 2Y2, Canada
[2] Princeton Univ, Atmospher & Ocean Sci Program, Princeton, NJ 08544 USA
[3] Univ Washington, Appl Phys Lab, Seattle, WA 98105 USA
[4] Univ Washington, Sch Oceanog, Seattle, WA 98195 USA
[5] Univ Calif San Diego, Scripps Inst Oceanog, Marine Phys Lab, La Jolla, CA 92093 USA
[6] Oregon State Univ, Coll Earth Ocean & Atmospher Sci, Corvallis, OR 97331 USA
关键词
TIDAL CONVERSION; KAENA RIDGE; DEEP-OCEAN; ENERGY; TURBULENCE; TIDES; FLOW; REDISTRIBUTION; REFLECTION; MECHANISM;
D O I
10.5670/oceanog.2012.50
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
Internal waves are often observed to break close to the seafloor topography that generates them, or from which they scatter. This breaking is often spectacular, with turbulent structures observed hundreds of meters above the seafloor, and driving turbulence dissipations and mixing up to 10,000 times open-ocean levels. This article provides an overview of efforts to observe and understand this turbulence, and to parameterize it near steep "supercritical" topography (i.e., topography that is steeper than internal wave energy characteristics). Using numerical models, we demonstrate that arrested lee waves are an important turbulence-producing phenomenon. Analogous to hydraulic jumps in water flowing over an obstacle in a stream, these waves are formed and then break during each tidal cycle. Similar lee waves are also observed in the atmosphere and in shallow fjords, but in those cases, their wavelengths are of similar scale to the topography, whereas in the ocean, they are small compared to the water depth and obstacle size. The simulations indicate that these nonlinear lee waves propagate against the generating flow (usually the tide) and are arrested because they have the same phase speed as the oncoming flow. This characteristic allows estimation of their size a priori and, using a linear model of internal tide generation, computation of how much energy they trap and turn into turbulence. This approach yields an accurate parameterization of mixing in numerical models, and these models are being used to guide a new generation of observations.
引用
收藏
页码:150 / 159
页数:10
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