Cumulus Ensemble Sensitivities

积云系综敏感性

• 批准号: 0555570
• 负责人: Brian Mapes
• 金额: --
• 依托单位: University of Miami
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2009-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0555570&HistoricalAwards=false
• 关键词: Cumulus; Ensemble; Sensitivities

Fields of convective clouds exhibit coherent weather and climate variability on time and space scales that are very large with respect to individual cumulus clouds and cloud systems. In the absence of adequate observations, this study will employ cloud resolving models to explore the sensitivity of atmospheric convection to its large-scale setting. Three hypotheses will be tested: 1.) The occurrence of deep convection has a large sensitivity to humidity in the free troposphere. 2.) The occurrence of deep convection is more sensitive to temperature anomalies in the lower than the upper troposphere. 3.) Large-scale variations of convection depend importantly on large-scale variations of the statistics of small-scale fluctuations, and not just on large-scale variations of mean conditions.It is expected that the results from this study will usefully inform cumulus parameterization efforts in atmospheric models. The project involves the participation of a post-doctoral associate.

对流云场在时间和空间尺度上表现出连贯的天气和气候变率，就单个积云和云系而言，这种变率非常大。在缺乏足够观测资料的情况下，本研究将利用云解析模式来探讨大气对流对大尺度环境的敏感性。将检验三个假设： 1.）的人。深对流的发生对自由对流层的湿度有很大的敏感性。 2.）的情况。深对流的发生对对流层低层温度异常比对流层高层温度异常更敏感。 3.）第三章对流的大尺度变化重要地依赖于小尺度波动统计的大尺度变化，而不仅仅是大尺度平均conditions.It预计，从这项研究的结果将有用地通知积云参数化努力在大气模式。该项目涉及一名博士后助理的参与。