Mechanistic Analyses of Weather Regime Transitions in the Community Climate Model

社区气候模型中天气状况转变的机制分析

• 批准号: 9634667
• 负责人: Robert Black
• 金额: $ 22.33万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-11-15 至 2000-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9634667&HistoricalAwards=false
• 关键词: Mechanistic; Analyses; Weather; Regime; Transitions

9634667 Black Anomalous weather regimes are an important component of the short term climate system, causing persistent extremes in regional weather. Where many studies have focused on the maintenance of persistent weather patterns, under this award, the principal investigator (PI) will consider the full time evolution of these systems and the processes responsible for their evolution. In this study, the PI will analyze both gridded observational data sets and model simulations produced with the Community Climate Model (CCM) of the National Center for Atmospheric Research (NCAR). The detailed analyses will done using a reformulated (for nonconservative flow on a sphere) version of a methodology known as piecewise tendency diagnosis. They will be focused on determining the roles of diabatic and frictional processes in regime transitions. In addition, Dr. Black will conduct numerical experiments in which the model's sensitivity to initial large-scale anomaly structure and model physics are assessed. The results of this study are likely to provide important insights into the intraseasonal variability of the midlatitude troposphere which will allow improvements in extended range weather forecasting. ***

小行星9634667 异常天气系统是短期气候系统的重要组成部分，导致区域性天气的持续极端。 在许多研究都集中在持续天气模式的维持，在这个奖项下，首席研究员（PI）将考虑这些系统的全时演变及其演变过程。 在这项研究中，PI将分析网格观测数据集和国家大气研究中心（NCAR）社区气候模型（CCM）产生的模型模拟。 详细的分析将使用一种被称为分段趋势诊断的方法的重新表述的版本（对于球体上的非保守流）来完成。 他们将集中在确定非绝热和摩擦过程中的政权过渡的作用。 此外，布莱克博士将进行数值实验，评估模型对初始大规模异常结构和模型物理的敏感性。 这项研究的结果可能会提供重要的见解的季节内变化的中纬度对流层，这将使扩大范围的天气预报的改进。 ***