Surface-Atmosphere Couplings and Convection Processes

表面大气耦合和对流过程

• 批准号: 249561-2012
• 负责人: Hanesiak, John
• 金额: $ 1.97万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=507672
• 关键词: Surface; Atmosphere; Couplings; Convection; Processes

Deep convection initiation (DCI), the initial stage of most summer severe weather, is one of the most perplexing and complex issues in meteorology today - the prediction of if, when and where DCI takes place generally has low accuracy. Numerical weather prediction models also have significant difficulties in predicting the timing and location of DCI. Improving predictions of DCI and associated atmospheric conditions will ultimately improve severe weather warnings (mode, severity, location and lead times). These statements apply to both daytime and overnight convection. Given this, the research questions to be addressed in this proposal are:

深对流起始(DCI)是大多数夏季恶劣天气的初始阶段，是当今气象学中最令人困惑和复杂的问题之一--对DCI是否发生、何时发生和发生在哪里的预测精度普遍较低。数值天气预报模式在预测DCI的时间和位置方面也有很大困难。改进对DCI和相关大气条件的预测最终将改善恶劣天气警告(模式、严重程度、位置和提前期)。这些说法适用于白天和夜间的对流。有鉴于此，本提案中要解决的研究问题如下：