Collaborative Research: Gravity Current Entrainment CPT

将组建一个气候过程团队来开发重力流夹带的参数化，以纳入海洋环流模型。在气候模型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，将仔细检查观察和过程研究中的夹带，并将使用所得知识来开发新的夹带参数化。最近的几个观测计划已经检查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导致夹带的各种物理过程。已经开发出几种将此类过程纳入气候模型的可能形式。对于等密度和 z 坐标海洋环流模型 (OGCM)，存在重力流的初步参数化，可以对其进行修改，以更好地融入对夹带物理学的新理解。新的参数化将在三类 OGCM 中实施和评估。拟议活动的更广泛影响：重力流夹带是海洋气候环流的重要组成部分，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。这项研究将加强建模中心和学术机构之间的联系；以新参数化形式提供可供整个气候建模界使用的具体产品；通过更可靠地预测气候变化来造福社会；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（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).