Collaborative Research: Gravity Current Entrainment CPT

将成立一个气候过程小组，开发重力流携流的参数化，以便纳入海洋环流模式。在气候模式中更好地表示溢流过程对于更好地捕捉温盐环流的变率（包括气候突变）至关重要。首先，将仔细检查观察和过程研究中的夹带，并将利用所得知识发展夹带的新参数化。最近的几个观测项目已经研究了溢流重力流中的夹带现象，许多最近的实验室和数值过程研究已经阐明了导致夹带的各种物理过程。已经提出了将这些过程纳入气候模式的几种可能的形式。对于等周期和z坐标海洋环流模式（OGCM），重力流的初步参数化可以进行修改，以更好地纳入对夹带物理的新认识。新的参数化将在三类ogcm中实现和评估。提出的活动的更广泛影响：重力流夹带是海洋气候环流的一个重要组成部分，这项研究将增强我们对这一过程及其在气候中的作用的理解。本研究将加强建模中心与学术机构之间的联系；以新的参数化形式提供可供整个气候模拟界使用的具体产品；使对气候变率的预测更加可靠，从而造福社会；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讲习班传播成果；促进代表性不足的群体（女性协调PI）。

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).