在美国西部上空下击暴流产生的对流风暴的电行为
Electrical Behavior of Downburst-Producing Convective Storms over the Western United States
摘要：
关于对流风暴中微下击暴流生成的大量研究文献集中于对流前环境的热力学因素以及雷达图像观测到的风暴形态。基于GOES探测器数据的衍生产品在热力学环境研究中特别有用。然而，解决得少得多，经常是对流风暴电气化，闪电现象和下击暴流生成之间的关系。以前的研究表明，对流风暴产生的闪电，带电，现象（即闪光率，密度）和极性取决于周围大气的热力学结构，特别是垂直水分分层。因此，描述热力学设置的相关参数将包括对流可用位能（CAPE），由于其对上升气流强度的影响，以及云液态水含量，由于其与降水物理过程的关系。浮力能和水分层结是对流风暴发展和下击暴流产生的重要因素，这一点已经得到讨论。这项研究工作调查和推导出对流风暴和下击暴流生成的闪电现象之间的定性关系。将通过比较GOES微下击暴流产品所描绘的对流前环境、雷达图像所描绘的风暴形态以及NLDN数据所指示的电行为来分析产生下击暴流的对流风暴。
英文摘要：
A great body of research literature pertaining to microburst generation in convective storms has focused on thermodynamic factors of the pre-convective environment as well as storm morphology as observed by radar imagery. Derived products based on GOES sounder data have been found to be especially useful in the study of thermodynamic environments. However, addressed much less frequently is the relationship between convective storm electrification, lightning phenomenology and downburst generation. Previous research in lightning production by convective storms has identified that electrification, phenomenology (i.e. flash rate, density), and polarity are dependent upon the thermodynamic structure of the ambient atmosphere, especially vertical moisture stratification. Thus, relevant parameters to describe the thermodynamic setting would include convective available potential energy (CAPE), due to its influence on updraft strength, and cloud liquid water content, due to its relationship to precipitation physical processes. It has already been addressed that buoyant energy and moisture stratification are important factors in convective storm development and downburst generation. This research effort investigates and derives a qualitative relationship between lightning phenomenology in convective storms and downburst generation. Downburst-producing convective storms will be analyzed by comparing pre-convective environments, as portrayed by GOES microburst products, storm morphology, as portrayed by radar imagery, and electrical behavior, as indicated by NLDN data.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
