Numerical Modeling of the Global Atmosphere

全球大气的数值模拟

• 批准号: 0071345
• 负责人: Carlos Mechoso
• 金额: $ 48.9万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-07-01 至 2004-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0071345&HistoricalAwards=false
• 关键词: Numerical; Modeling; Global; Atmosphere

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.

该项目的长期目标是改进全球天气和气候系统的大气环流模型。 根据该奖项，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化。 这些是：（1）行星边界层（PBL）过程的多层整体参数化，（2）中尺度地形变率热力效应的参数化，（3）统一的云参数化。 边界层参数化结合了当地和非当地的湍流涡旋的影响，在某种程度上，结合了目前加州大学洛杉矶分校的大气GCM散装配方的积极方面。 热效应参数化将是一个新的贡献，因为目前的模式不考虑这种影响。 统一云参数化摒弃了网格尺度和次网格尺度之间的人为分离，并发展了一个统一的逻辑框架，可用于层状云和积云。 这项工作的产品将不会是特定于模型的，尽管它们将首先在UCLA GCM的框架中进行测试。