Numerical Modeling of the Global Atmosphere

该项目的长期目标是开发改进的全球天气和气候系统的大气环流模式。根据这项奖励，主要研究人员将构建和测试可用于大气GCM的物理过程的新参数。它们是：(1)行星边界层(PBL)过程的多层整体参数化；(2)中尺度地形变率热效应的参数化；(3)统一的云参数化。PBL参数化结合了湍流涡旋的局地和非局地效应，结合了目前加州大学洛杉矶分校大气GCM中使用的整体公式的积极方面。热效应的参数化将是一个新的贡献，因为目前的模型没有考虑这种影响。统一云参数化放弃了网格和次网格尺度之间的人为分离，发展了一个既可用于层状云又可用于积云的统一逻辑框架。这一努力的产品将不是特定于型号的，尽管它们将首先在加州大学洛杉矶分校GCM的框架内进行测试。

The long-term goal of this project is to develop improved general circulation models (GCMs) of the global weather and climate system. Under this award the principal investigators will construct and test new parameterizations for physical processes that can be used in atmospheric GCMs. These are : (1) a multi-layer bulk parameterization of planetary boundary layer (PBL) processes, (2) a parameterization of the thermal effects of mesoscale orographic variability, and (3) a unified cloud parameterization. The PBL parameterization combines the local and nonlocal effects of turbulent eddies in a way that incorporates the positive aspects of bulk formulation used in the current UCLA atmospheric GCM. The thermal effects parameterization will be a new contribution in that current models do not account for this effect. The unified cloud parameterization abandons the artificial separation between grid- and sub-grid scales, and develops a unified logical framework that can be used for both stratiform clouds and cumulus clouds. The products from this effort will not be model-specific, although they will be tested first in the framework of the UCLA GCM.