Analysis of Mobile Doppler Radar and Lidar Data of Severe Convective Storms

强对流风暴移动多普勒雷达和激光雷达数据分析

• 批准号: 1262048
• 负责人: Howard Bluestein
• 金额: $ 65.49万
• 依托单位: University of Oklahoma Norman Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-04-15 至 2017-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1262048&HistoricalAwards=false
• 关键词: Analysis; Mobile; Doppler; Radar; Lidar

This research project seeks to further our basic physical understanding of severe convective storms and tornadoes, with an emphasis on tornadoes produced by supercells. The overall goal will be accomplished through the analysis of data collected by state-of-the-art mobile Doppler radars and a mobile Doppler lidar (TWOLF: Truck-Mounted Wind Observing Lidar Facility). The former include: 1) a rapid-scan (mechanically scanning), polarimetric, X-band radar (RaXPol); 2) a rapid-scan, phasedarray, X-band radar (MWR-05XP); and 3) a high-resolution, W-band radar (University of Massachusetts-Amherst's W-band radar).Some of the radar data to be analyzed includes datasets collected during VORTEX2 (The 2nd Verification of the Origin of Rotation in Tornadoes Experiment) in the springs of 2009 and 2010. The remainder of the radar data to be analyzed include RaXPol and MWR-05XP data collected a during a small, local, field program during the spring of 2011, RaXPol data collected during the spring of 2012, RaXPol and TWOLF/MWR 05XP data collected during the spring of 2013, and RaXPol data collected during the springs of 2014 and 2015.Intellectual Merit: Using the rapid-scan radars, the evolution of vortex signatures in time and space will be explored in both supercells that produce tornadoes and those that do not. This information can be used to help assess the mechanism(s) of tornado formation. The polarimetric radar will be used to infer information about microphysical processes within supercells and how they might relate to storm structure and evolution, and tornado formation. The high-resolution W-band radar data already collected during VORTEX2 will be further analyzed to document the fine-scale structure of tornadoes and tornado-like vortices. TWOLF will be used mainly to measure the vertical variation in winds in and near tornadoes and mesocyclones in the lowest 100 m, an undertaking, owing to ground clutter contamination, that is difficult with radars and is extremely challenging by in-situ probing. Very little is known about the boundary layer in tornadoes or under storms when they form. The character of the boundary layer is thought to be a very important factor in determining the potential intensity of intense vortices such as tornadoes.Broader Impacts: It is anticipated that forecasts and warnings of tornadoes and other severe weather phenomena such as large hail and straight-line winds will be improved with an increase in a physical understanding of them. The results from this project may be useful to the National Weather Service and private forecasting companies, and could help mitigate property damage and save lives. Graduate students will be trained and become part of the pool of the next-generation of researchers.

这项研究项目旨在加深我们对强对流风暴和龙卷风的基本物理理解，重点是超级单体产生的龙卷风。总体目标将通过分析最先进的移动多普勒雷达和移动多普勒激光雷达(TWOLF：车载测风激光雷达设施)收集的数据来实现。前者包括：1)快速扫描(机械扫描)极化X波段雷达(RaXPol)；2)快速扫描相控阵X波段雷达(MWR-05XP)；3)高分辨率W波段雷达(马萨诸塞大学阿默斯特的W波段雷达)。一些要分析的雷达数据包括2009年和2010年春季VORTEX2(第二次龙卷风旋转起源验证实验)收集的数据集。其余要分析的雷达数据包括在2011年春季的一个小型本地野外项目期间收集的RaXPol和MWR-05XP数据，在2012年春季收集的RaXPol数据，在2013年春季收集的RaXPol和TWOLF/MWR 05XP数据，以及在2014年和2015年春季收集的RaXPol数据。这些信息可以帮助评估龙卷风形成的机制(S)。偏振雷达将用于推断有关超级单体内微物理过程的信息，以及它们可能如何与风暴结构和演变以及龙卷风的形成有关。在VORTEX2期间已经收集的高分辨率W波段雷达数据将被进一步分析，以记录龙卷风和龙卷风状涡旋的精细结构。TWOLF将主要用于测量龙卷风和中气旋在最低100米处及其附近的风的垂直变化，由于地面杂波污染，这项任务对于雷达来说是困难的，通过现场探测极具挑战性。人们对龙卷风或风暴形成时的边界层知之甚少。边界层的性质被认为是决定龙卷风等强涡旋潜在强度的一个非常重要的因素。广泛的影响：预计随着对龙卷风和大冰雹、直线风等恶劣天气现象的物理了解的增加，对龙卷风和其他恶劣天气现象的预报和警告将会得到改善。该项目的结果可能对国家气象局和私人预报公司有用，并可能有助于减少财产损失和拯救生命。研究生将接受培训，成为下一代研究人员队伍的一部分。