Collaborative Research: Gravity Current Entrainment Climate Process Team

将组建一个气候过程小组，制定重力流卷吸的参数化方法，以纳入海洋环流模型。在气候模式中更好地表示溢出过程对于更好地捕捉温盐环流的变化，包括气候突变至关重要。首先，夹带在观测和过程研究将密切审查和派生的知识将被用来开发新的参数化夹带。最近的几个观测项目已经研究了溢出重力流中的夹带，并且许多最近的实验室和数值过程研究已经阐明了各种有助于夹带的物理过程。已经提出了几种可能的形式，将这些过程纳入气候模式。对于等密度和z坐标海洋环流模式（OGCM），重力流的初步参数化存在，可以修改，以更好地纳入新的理解物理卷吸。新的参数化将在三类OGCMs.Broader影响的拟议活动中实施和评估：重力流卷吸是海洋气候环流的重要组成部分，这项研究将加强我们对这个过程及其在气候中的作用的理解。这项研究将加强模拟中心和学术机构之间的联系;以新参数化的形式提供具体产品，可供整个气候模拟界使用;通过更可靠地预测气候变率造福社会;通过资助2名博士后促进跨学科培训;通过涉及更大社区的年度研讨会传播成果;促进代表性不足的群体（负责协调PI的女性）。

A Climate Process Team will be assembled to develop parameterizations of gravity current entrainment for inclusion in ocean general circulation models. A better representation of overflow processes in climate models is crucial to better capture the variability of the thermohaline circulation, including abrupt climate change. First, entrainment in observations and process studies will be closely examined and the derived knowledge will be used to develop new parameterizations of entrainment. Several recent observational programs have examined the entrainment in overflow gravity currents, and many recent laboratory and numerical process studies have elucidated a variety of physical processes contributing to entrainment. Several possible formalisms for including such processes into climate models have been developed. For both isopycnal and z-coordinate Ocean General Circulation Models (OGCM), preliminary parameterizations of gravity currents exist which can be modified to better incorporate new understanding of the physics of entrainment. The new parameterizations will be implemented and evaluated in three classes of OGCMs.Broader impacts of the proposed activity: Gravity current entrainment is an important component of the ocean climate circulation, and this study will enhance our understanding of this process and its role in the climate. This study will enhance links between modeling centers and academic institutions; provide concrete products in the form of new parameterizations which can be used by the whole climate modeling community; benefit society by enabling more reliable predictions of climate variability; promote interdisciplinary training through funding of 2 post-docs; disseminate results through annual workshops involving the larger community; promote underrepresented groups (female coordinating PI).