Mechanisms Controlling the Probability of Tornadogenesis in Supercell Thunderstorms

控制超级单体雷暴中龙卷风发生概率的机制

• 批准号: 1748715
• 负责人: Matthew Parker
• 金额: $ 58.71万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-03-15 至 2023-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1748715&HistoricalAwards=false
• 关键词: Mechanisms; Controlling; Probability; Tornadogenesis; Supercell

The characteristics of supercell thunderstorms that form tornadoes are well-known. However, a large fraction of the supercells that exhibit those characteristics do not develop tornadoes. This research award will use high-resolution numerical modeling to investigate why tornadogenesis so frequently fails in environments that are otherwise favorable. The work has the potential to improve forecasting, nowcasting and warnings for tornadoes. The award will also contribute to training and mentoring of early-career research scientists, ensuring a diverse and highly capable workforce.The research team will conduct a numerical modeling study to analyze the within-storm attributes and associated environmental traits that distinguish simulated tornadic from non-tornadic supercells. The researchers suggest that more study needs to happen at the point at which tornadogenesis succeeds or fails, rather than focusing on the origin of the rotation. The Cloud Model 1 (CM1) model will be used in idealized simulation ensembles, multi-storm simulations, and toy model simulations to: 1) Explain why supercells with large surface vertical vorticity often fail to produce significant tornadoes, 2) Establish the environmental proxies that are most directly, physically linked to supercells with a high probability of tornadogenesis, and 3) Explain why multiple supercells within the same environment can differ dramatically in terms of tornado production.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

形成龙卷风的超级电池雷暴的特征是众所周知的。 但是，表现出这些特征的大部分超级细胞不会产生龙卷风。 该研究奖将使用高分辨率的数值建模来研究为什么龙卷风发生在原本有利的环境中经常失败。 这项工作有可能改善对龙卷风的预测，现象和警告。 该奖项还将为早期职业研究科学家的培训和指导做出贡献，确保多样化且功能强大的劳动力。研究团队将进行一项数值建模研究，以分析区分模拟的龙卷风与非龙核超级细胞区分开的内部属性和相关的环境特征。 研究人员认为，需要更多的研究在龙卷风发生成功或失败的时刻进行，而不是专注于旋转的起源。 云模型1（CM1）模型将用于理想化的模拟集合，多声明模拟和玩具模型模拟，以：1）解释为什么具有较大表面垂直涡流的超级细胞通常无法产生重要的龙卷风，2）建立与超级宣言的高细胞相同的环境，以及3）的环境链接，以及3）在龙卷风生产方面，这一奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响审查标准的评估来支持的。

项目成果

How Well Must Surface Vorticity Be Organized for Tornadogenesis?

龙卷风发生时表面涡量的组织必须如何？

• DOI: 10.1175/jas-d-22-0195.1
• 发表时间: 2023
• 期刊: Journal of the Atmospheric Sciences
• 影响因子: 3.1
• 作者: Parker, Matthew D.

Is There a “Tipping Point” between Simulated Nontornadic and Tornadic Supercells in VORTEX2 Environments?

VORTEX2 环境中模拟的非龙卷风和龙卷风超级单体之间是否存在“临界点”？

• DOI: 10.1175/mwr-d-18-0050.1
• 发表时间: 2018
• 期刊: Monthly Weather Review
• 影响因子: 3.2
• 作者: Coffer, Brice E.;Parker, Matthew D.
• 通讯作者: Parker, Matthew D.

Insights into Supercells and Their Environments from Three Decades of Targeted Radiosonde Observations

从三个十年的定向无线电探空仪观测中深入了解超级细胞及其环境

• DOI: 10.1175/mwr-d-20-0105.1
• 发表时间: 2020
• 期刊: Monthly Weather Review
• 影响因子: 3.2
• 作者: Coniglio, Michael C.;Parker, Matthew D.
• 通讯作者: Parker, Matthew D.

Low-level Updraft Intensification in Response to Environmental Wind Profiles

低层上升气流增强对环境风廓线的响应

• DOI: 10.1175/jas-d-20-0354.1
• 发表时间: 2021
• 期刊: Journal of the Atmospheric Sciences
• 影响因子: 3.1
• 作者: Goldacker, Nicholas A.;Parker, Matthew D.
• 通讯作者: Parker, Matthew D.

Supercell Low-Level Mesocyclones: Origins of Inflow and Vorticity

超级单体低层中气旋：流入和涡度的起源

• DOI: 10.1175/mwr-d-22-0269.1
• 发表时间: 2023
• 期刊: Monthly Weather Review
• 影响因子: 3.2
• 作者: Coffer, Brice E.;Parker, Matthew D.;Peters, John M.;Wade, Andrew R.
• 通讯作者: Wade, Andrew R.