Parameterization of Convective Momentum Transport Using Cloud Resolving and Single Column Models

积云对流动量的垂直输送对维持大尺度大气环流非常重要，但在一般的大气环流模式中没有得到充分的体现。对流动量输运参数化的发展对气候和数值天气预报的发展具有极其重要的意义。张博士将研究与对流动量传输和对流动量参数化方案相关的基本问题。具体来说，他将研究对流诱导的压力梯度力在垂直动量传输中的作用。他将采用二维和三维云解析模型和单柱模型，以及热带海洋环境和中纬度大陆环境的观测结果。云解析模式的结果将用于了解压力梯度力的作用，然后改进参数化。然后将通过使用单列模型的模拟测试几个参数化。最终，这些结果将提高我们对对流动量输送对大气大尺度环流影响的认识。

The vertical transport of momentum by cumulus convection is very important in maintaining the large-scale atmospheric circulation, but the process is not adequately represented in general circulation models of the atmosphere. The development of parameterizations of convective momentum transport is extremely important to the advancement of climate and numerical weather prediction in general. Dr. Zhang will investigate fundamental issues related to convective momentum transport and the development of a convective momentum parameterization scheme. Specifically he will examine the role of the convection-induced pressure gradient force across clouds in vertical momentum transport. He will employ two- and three-dimensional cloud resolving models and a single column model as well as observations from both a tropical maritime environment and a midlatitude continental environment. The cloud resolving model results will be used to understand the role of the pressure gradient forces and then refine the parameterization. Several parameterizations will then be tested through simulations with a single column model. Ultimately the results should improve our understanding of the effect of convective momentum transport on the large-scale circulation of the atmosphere.