RUI: Study of the Structure and Dynamics of Great Lakes Winter Storms
RUI:五大湖冬季风暴的结构和动力学研究
基本信息
- 批准号:9224384
- 负责人:
- 金额:$ 35.58万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:1993
- 资助国家:美国
- 起止时间:1993-08-15 至 1998-01-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
9224384 Byrd Precipitation from winter storms in the form of snow and freezing rain are among the most disruptive of meteorological phenomena. Under a previous award, the Principal Investigators have used observational data and a numerical model to study the extremely heavy snowfalls that occur on the lee side of the Great Lakes. Accomplishments have included identifying critical boundary layer and atmospheric parameters that are conducive to producing locally heavy snowfalls. The Principal Investigators in cooperation with the National Weather Service will continue this research. Planned activities include developing a more sophisticated numerical model and expansion of their investigations to include the local influence of the Great Lakes on cyclonic winter storms. Research objectives include: 1. Documenting the spatial and temporal variability of meteorological fields within and upwind of lake-effect snow regions, focussing on the role of boundary layer stability, depth, moisture and wind shear in modulating these disturbances; 2. Investigating the role of dynamical forcing mechanisms in the formation and maintenance of mesoscale lake-effect snow bands and mesoscale precipitation structures associated with winter season wave cyclones of the Great Lakes region; 3. Studying the effect of multiple-lake interactions on the formation and maintenance of lake-effect snow bands; 4. Investigating the effects of orography on the distribution and behavior of lake-effect snow bands; 5. Determining the importance of the Great Lakes and the surrounding topography in the distribution and behavior of mesoscale precipitation features associated with winter season cyclones in the Great Lakes region. ***
小行星9224384 冬季风暴以降雪和冻雨的形式产生的降水是最具破坏性的气象现象之一。 根据以前的一项奖励,主要调查人员使用观测数据和数值模型来研究五大湖背风侧发生的特大降雪。 所取得的成就包括确定有助于在当地造成大雪的关键边界层和大气参数。 主要研究人员与国家气象局合作将继续这项研究。 计划开展的活动包括开发一个更复杂的数值模型,并扩大调查范围,以包括五大湖对冬季气旋风暴的当地影响。 研究目标包括: 1. 记录湖泊效应雪区内和上风处气象场的空间和时间变化,重点是边界层稳定性、深度、湿度和风切变在调节这些扰动方面的作用; 2. 调查动力学强迫机制在形成和维持与五大湖地区冬季波浪气旋有关的中尺度湖效应雪带和中尺度降水结构方面的作用; 3. 研究多湖相互作用对湖效应雪带形成和维持的影响; 4. 调查地形对湖效应雪带的分布和行为的影响; 5. 确定五大湖和周围地形在与五大湖地区冬季气旋有关的中尺度降水特征的分布和行为中的重要性。 ***
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Gregory Byrd其他文献
Board 82: Remote, Hands-on ECE Teaching: Project RECET
Board 82:远程实践 ECE 教学:RECET 项目
- DOI:
10.18260/1-2--42962 - 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Kenneth Connor;Douglas Mercer;Daniel Stancil;John H. Booske;Michael Devetsikiotis;Barry Sullivan;Kathy Gullie;Michelle Klein;Gregory Byrd - 通讯作者:
Gregory Byrd
Gregory Byrd的其他文献
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{{ truncateString('Gregory Byrd', 18)}}的其他基金
Architectures and Applications for Three-Dimensional Chip Multiprocessors
三维芯片多处理器的架构和应用
- 批准号:
0702294 - 财政年份:2007
- 资助金额:
$ 35.58万 - 项目类别:
Standard Grant
Multiprocessor Performance Optimization using Slipstream Execution Mode
使用 Slipstream 执行模式优化多处理器性能
- 批准号:
0310847 - 财政年份:2003
- 资助金额:
$ 35.58万 - 项目类别:
Continuing Grant
New Prediction Paradigms for Parallel and Distributed Systems
并行和分布式系统的新预测范式
- 批准号:
0105628 - 财政年份:2001
- 资助金额:
$ 35.58万 - 项目类别:
Standard Grant
A Satellite Meteorology Course for University Faculty (with Emphasis on the Application of GOES Data)
大学教师卫星气象学课程(重点是GOES数据的应用)
- 批准号:
9752722 - 财政年份:1998
- 资助金额:
$ 35.58万 - 项目类别:
Standard Grant
A Computer Laboratory for Interactive Analysis and Display of Meteorological Data
气象数据交互分析与显示计算机实验室
- 批准号:
9251000 - 财政年份:1992
- 资助金额:
$ 35.58万 - 项目类别:
Standard Grant
RUI: Field Study and Modeling of Lake-Effect Snow Near Lake Ontario
RUI:安大略湖附近湖泊效应雪的实地研究和建模
- 批准号:
8914546 - 财政年份:1990
- 资助金额:
$ 35.58万 - 项目类别:
Continuing Grant
A Portable Radiosonde System For Meteorological Observationsand Field Research
用于气象观测和野外研究的便携式无线电探空仪系统
- 批准号:
9052261 - 财政年份:1990
- 资助金额:
$ 35.58万 - 项目类别:
Standard Grant
A UNIDATA System for Meteorological Education and Research
用于气象教育和研究的 UNIDATA 系统
- 批准号:
8816254 - 财政年份:1988
- 资助金额:
$ 35.58万 - 项目类别:
Standard Grant
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