Improved Understanding of Nocturnal Mesoscale Convective System Evolution

提高对夜间中尺度对流系统演化的认识

• 批准号: 1624947
• 负责人: William Gallus
• 金额: $ 50.2万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-15 至 2021-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1624947&HistoricalAwards=false
• 关键词: Improved; Understanding; Nocturnal; Mesoscale; Convective

This study seeks to understand the structure and evolution of nocturnal (nighttime) thunderstorms using data collected from the Plains Elevated Convection at Night (PECAN) field campaign conducted in the summer of 2015. The research results from this study have the potential to be very relevant to improving operational forecast models and informing operational weather forecasters. Societal benefits include improved forecasting and increased lead-time to warn citizens of the impending dangers from these nighttime thunderstorms and the associated hazards of high wind, heavy rainfall and flooding. The PI plans to conduct very high-resolution (down to 1km grid spacing) simulations of nocturnal thunderstorms. The underlying science of accurately forecasting warm season (summer) rainfall over the Great Plains of the United States remains elusive. This research will focus on the role of the low-level jet (LLJ), boundary layer processes, and microphysical processes. The PI proposes to use the WRF and NMMB numerical models to conduct the research, and to use special observations from the recent PECAN field experiment, along with routinely available observations, to evaluate the model output.

这项研究旨在了解夜间雷暴的结构和演变，使用2015年夏季进行的平原高架对流夜间（PECAN）现场活动收集的数据。 这项研究的研究结果有可能与改进业务预报模型和通知业务天气预报员非常相关。 社会效益包括改进了预报，增加了提前通知公民这些夜间雷暴即将发生的危险以及大风、暴雨和洪水等相关危险的时间。 PI计划对夜间雷暴进行非常高分辨率（网格间距低至1公里）的模拟。 准确预测美国大平原暖季（夏季）降雨量的基本科学仍然难以捉摸。 这项研究将集中在低空急流（LLJ），边界层过程和微物理过程的作用。 PI建议使用WRF和NMMB数值模式进行研究，并使用最近PECAN现场实验的特殊观测，沿着常规观测，以评估模型输出。