Storms - Multiscale Simulation and Analysis

Cotton和他的团队将继续研究对流风暴的分析和数值模拟。他们将专注于多尺度方面（对流细胞成线和簇的组织，与天气尺度系统的相互作用）和恶劣天气事件（山洪暴发、强风、龙卷风）的起源。这项工作结合了交互式嵌套网格模型的使用，即科罗拉多州立大学的区域大气模拟系统（RAMS），以及高分辨率观测系统收集的数据分析，包括科罗拉多州立大学的国家研究设施——chir雷达。模式和观测之间的联系提供了通过数值模拟对假设的反复检验、模式的验证和改进以及对风暴的客观分析文件。最后一个功能将取决于所开发的四维数据同化程序（4DDA）。计划工作的一个重要组成部分在于RAMS物理和数值的新发展。棉花过去的生产力记录（在学生和公众中）预示着对满足美国天气研究计划产生的需求的重大贡献，以及未来十年国家在天气系统现代化方面的努力。

Cotton and his group will continue their research on the analysis and numerical simulation of convective storms. They will focus on multi-scale aspects (organization of convective cells into lines and clusters, interaction with synoptic scale systems) and on the genesis of severe weather events (flash floods, strong winds, tornadoes). The work combines the use of an interactive, nested- grid model, viz. CSU's Regional Atmospheric Modeling System (RAMS) with analysis of data gathered by high-resolution observational systems, including the CHILL-radar, a national research facility housed at CSU. The linkage between modelling and observations provides iterative testing of hypotheses by numerical simulations, validation and refinement of the models and objectively analysed documentation of storms. This last function will depend on four dimensional data assimalation procedures (4DDA) to be developed. A significant element of the planned work lies in new developments in the RAMS' physics and numerics. Cotton's past record of productivity (in students and public- ations) foreshadows a significant contribution toward meeting the demands generated by the U.S. Weather Research Program, and the national effort in weather system modernization over the next decade.