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Ocean mixing

海洋混合

基本信息

批准号：
313012-2006
负责人：
Kunze, Eric
金额：
$ 2.19万
依托单位：
University of Victoria
依托单位国家：
加拿大
项目类别：
Discovery Grants Program - Individual
财政年份：
2007
资助国家：
加拿大
起止时间：
2007-01-01 至 2008-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=366325
关键词：
Ocean mixing

项目摘要

Turbulent ocean mixing controls processes ranging from the meridional thermohaline overturning cell (also known as the global conveyor belt) and so ocean climatological timescales, nutrient supply to sunlit surface waters, and dispersion of anthropogenic and natural material. In the stratified ocean interior, turbulence is largely controlled by breaking of internal gravity wave. The past decade has established that mixing is weak in the interior, focussing attention on ocean boundaries. My research group will continue to collect and interpret observations relating mixing, turbulence and internal waves with particular attention to topographically-generated turbulence in canyons, over ridges and on the continental slope seeking pathways between deep and shallow waters. We will also continue to use and test turbulence parameterizations that rely on internal wave shear and strain. Turbulent mixing must be parameterized as a subgridscale process in global and regional numerical models. Improved parameterizations that can relate mixing to larger-scale resolved model quantities are important because they will improve the forecasting reliability in regional and climate models, thus improving our ability to predict the response of Earth's climate and local waters to natural and anthropogenic forcing. Our longterm goal is the development of such improved parameterizations.

湍流海洋混合控制着各种过程，从经向温盐翻转单元（也称为全球传送带）到海洋气候时间尺度、向阳光照射的地表水的营养供应，以及人为和自然物质的分散。在分层的海洋内部，湍流很大程度上是由内部重力波的破碎来控制的。过去十年已经证实，海洋内部的混合作用很弱，这将注意力集中在海洋边界上。我的研究小组将继续收集和解释有关混合、湍流和内波的观测结果，特别关注峡谷、山脊和大陆斜坡上的地形产生的湍流，寻找深水和浅水之间的路径。我们还将继续使用和测试依赖于内波剪切和应变的湍流参数化。在全球和区域数值模式中，湍流混合必须作为亚网格尺度过程参数化。能够将混合与更大尺度分辨率模式量联系起来的改进的参数化是重要的，因为它们将提高区域和气候模式的预测可靠性，从而提高我们预测地球气候和局部水域对自然和人为强迫响应的能力。我们的长期目标是开发这种改进的参数化。