Storms - Multiscale Simulation and Analysis

科顿和他的小组将继续研究 对流风暴的分析和数值模拟。他们将 关注多尺度方面（对流单体组织成 线和集群，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）。这项工作结合了使用一个互动的，嵌套的- 格网模式，即CSU的区域大气模拟系统（RAMS） 通过分析高分辨率观测卫星收集的数据， 系统，包括CHILL-radar，一个国家研究设施 在CSU。建模与观测之间的联系 通过数值模拟提供假设的迭代测试， 验证和完善的模型，并客观地分析 风暴的记录。最后一个函数将取决于四个 三维数据同化程序（4DDA）有待开发。一 计划中的工作的一个重要组成部分是新的发展， RAMS的物理学和数学 棉花过去的生产率记录（在学生和公众中- 这是一个巨大的贡献，为满足 美国天气研究计划产生的需求，以及 国家在未来一段时间内对天气系统现代化的努力 十年

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.