课题基金 / 基金详情

PRAC: Understanding the development and evolution of violent tornadoes in supercell thunderstorms

PRAC: Understanding the development and evolution of violent tornadoes in supercell thunderstorms
PRAC:了解超级单体雷暴中猛烈龙卷风的发展和演变
批准号:
1614973
负责人:
Leigh Orf
金额:
$3.84万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2019-08-31

项目摘要

项目成果

Leigh Orf的其他基金

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中文摘要
翻译
每年,龙卷风在美国造成数百万至数十亿美元的财产损失。自1990年以来,平均每年有78名美国公民死于龙卷风。2011年,美国48个州共发生了1,690次龙卷风,其中59次导致553人丧生。尽管观测和建模/计算技术取得了进步,龙卷风的行为仍然是一个谜。我们目前无法预测给定的雷暴是否会产生龙卷风,更不用说它是短暂而微弱的,还是长期而强大的。该项目将利用Blue沃茨模拟不同分辨率的龙卷风,从龙卷风的产生到消散,通过模拟不同环境中的风暴,该项目希望确定最具破坏性的龙卷风形成和维持的因素,并了解更多关于其结构和演变的信息。这项工作有可能改善对最具破坏性的风暴的预测,最终挽救生命。一旦在蓝色沃茨的模拟中确定了与长期暴力龙卷风的发生和维持有关的特定特征,现场研究人员就可以在观测到的风暴中搜索这些特征。在气象雷达上发现的这些特征可以帮助预报员对异常猛烈的龙卷风发出具体的、有针对性的警告。此外,对研究中使用的代码CM 1的修改将与天气建模社区共享。在之前的工作中,该项目在Blue Waters上进行了突破性的超高分辨率模拟(30米网格间距),模拟了一个长寿命的暴力龙卷风,该龙卷风是基于2011年5月24日在俄克拉荷马州中部的EF 5龙卷风超级单体。 该项目建议在先前工作的基础上,探索2011年5月24日风暴中龙卷风形态对云微物理学、湍流参数化和低层环境风切变等参数的敏感性。 此外,该项目还将在CM 1中使用任意拉伸的垂直网格,以便将分辨率集中在关键的垂直水平上,例如近地面。 此外,该项目将以物理现实的方式应用表面摩擦力,为CM 1增加功能,使其能够在强烈旋转的地区消除雨和冰雹,并探索发生剧烈龙卷风的其他风暴环境。 最后,该项目将增加能力,为CM 1插值重新启动文件从一个粗糙的网格到一个更精细的网格,允许模型模拟periodsof风暴?的生命周期,其中极端的决议是集中在风暴的核心。
英文摘要
Each year, tornadoes cause millions to billions of dollars of property damage in the United States.Since 1990, an average of 78 U.S. citizens were killed annually by tornadoes. In2011, 553 lost their lives from 59 tornadoes out of 1,690 that occurred that year in 48 states.Despite advances in observational and modeling/computing technology, thebehavior of tornadoes remains a mystery. We are currently unable to predict whether agiven thunderstorm will produce a tornado, much less whether it will be short-lived and weak, orlong-lived and powerful. The proposed work will use Blue Waters to simulate many different violent tornadoes at resolutions in which the tornado is resolved from its genesis through its dissipation.By simulating many storms in different environments, the project hopes to identify the factors involved inthe formation and maintenance of the most devastating tornadoes, as well as learn more about itsstructure and evolution. This work has the potential to improve the forecasting of the most devastatingstorms, ultimately saving lives. Once specific features related to the genesis and maintenance oflong-lived violent tornadoes are identified in simulations on Blue Waters, field researchers can search forsuch features in observed storms. Such features identified on operational weather radar could helpforecasters issue specific, targeted warnings for unusually violent tornadoes. Furthermore, modificationsto the code used in the study, CM1, will be shared with the weather modeling community.In a prior work, the project conducted a breakthrough ultra-high resolution simulation (30 meter grid spacing) on Blue Watersof a long-lived violent tornado spawned from a supercell that was based upon the observed24 May 2011 EF5 tornadic supercell in central Oklahoma. The project proposes to build upon this previous work to explore thesensitivity of tornado morphology in the 24 May 2011 storm to parameters such as cloud microphysics,turbulence parameterization and low-level environmental wind shear. In addition, the project will enable the useof arbitrarily stretched vertical grids in CM1 in order to focus resolution at key vertical levels, suchas near the ground. Moreover, the project will apply surface friction in a physically realistic manner, add functionalityto CM1 that enables the centrifuging of rain and hail in regions of intense rotation, and exploreother storm environments in which violent tornadoes occurred. Finally, the project will add the ability for CM1 tointerpolate restart files from a coarser mesh to a finer mesh, allowing the model to simulate periodsof the storm?s life cycle where extreme resolution is focused on the core of storm.
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Collaborative Research: Detection and Estimation of Multi-Scale Complex Spatiotemporal Processes in Tornadic Supercells from High Resolution Simulations and Multiparameter Radar
  • 批准号:
    2114757
  • 项目类别:
    Standard Grant
  • 资助金额:
    $34.15万
  • 财政年份:
    2021
  • 负责人:
    Leigh Orf
  • 依托单位:
Frontera Travel Grant: High Resolution Thunderstorm Modeling and Analysis
  • 批准号:
    2031921
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.75万
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    2020
  • 负责人:
    Leigh Orf
  • 依托单位:
Collaborative Research: Understanding Tornado Development and Maintenance in Supercells with an Emphasis on "High-End" Events
  • 批准号:
    1832327
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $59.04万
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    2019
  • 负责人:
    Leigh Orf
  • 依托单位:
Collaborative Research: SI2-SSI: Inquiry-Focused Volumetric Data Analysis Across Scientific Domains: Sustaining and Expanding the yt Community
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    1663954
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    Standard Grant
  • 资助金额:
    $27.7万
  • 财政年份:
    2017
  • 负责人:
    Leigh Orf
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国内基金
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