Collaborative Research: Characterization of the Two-dimensional/Temporal Mosaic of Drop Size Distributions and Spatial Variability (Structure) in Rain
合作研究:雨中液滴尺寸分布和空间变化(结构)的二维/时间镶嵌特征
基本信息
- 批准号:1230240
- 负责人:
- 金额:$ 32.54万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-09-15 至 2016-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Characteristic scales and structures of precipitation particle distributions have generally been explored over dimensions considerably larger than 1 km, yet for several reasons it is important to characterize their variability on far smaller scales. These include the need to: (1) optimize interpretation of observations made by simple rain gages and disdrometers and the translation of such measurements to much larger scales, as needed for validation of numerical weather forecasts and flood warnings; (2) better understand drop interactions and evolution in a multi-dimensional context rather than just the classical time dependent treatment in the vertical for falling precipitation (as has often been considered adequate for representation of processes including raindrop collision, coalescence and break-up); (3) achieve a more complete description of how radar-emitted microwaves interact with rain; and (4) ultimate connection and perhaps translation of 1-D observations of drop size distributions to larger 2-D domains.The intellectual merit of this project derives from quantification of small-scale precipitation structures via combined use of a 2-D video disdrometer in conjunction with a networked array of optical disdrometers, through which investigators will calculate pair-correlation functions in rain to derive improved measures of any given precipitation field's horizontal geometry. Disdrometer observations (whose horizontal separation may be readily adjusted) will also allow examination a wide range of distances for possible scaling, self-similarity and functional structures of drop size distributions so as to better connect with remote-sensor measurements of precipitation covering large areas. The over-arching objective of this work is to collect and analyze time-series observations of rainfall over horizontal scales ranging from centimeters (as observed using a 2-D video disdrometer) up to several tens to perhaps a hundred meters or more. Broader Impacts will come through potential contributions to improved flood prediction and monitoring as well as better processes relevant to soil erosion, through support of hands-on student involvement in, and through improved observational infrastructure at an undergraduate institution serving underrepresented groups.
降水颗粒分布的特征尺度和结构通常是在远大于 1 公里的维度上进行探索的,但由于多种原因,在小得多的尺度上表征其变化性非常重要。其中包括需要:(1)根据验证数值天气预报和洪水警报的需要,优化对简单雨量计和测速仪观测结果的解释,并将此类测量结果转换为更大的尺度; (2) 更好地理解多维背景下的水滴相互作用和演化,而不仅仅是垂直降水的经典时间相关处理(这通常被认为足以表示雨滴碰撞、合并和分裂等过程); (3) 更完整地描述雷达发射的微波如何与雨水相互作用; (4) 将水滴尺寸分布的一维观测结果最终连接到更大的二维域。该项目的智力优点源于通过结合使用二维视频测速仪和光学测速仪网络阵列对小规模降水结构进行量化,研究人员将通过它计算降雨中的成对相关函数,从而得出任何给定降水场水平的改进测量值 几何学。 测速仪观测(其水平间隔可以很容易地调整)也将允许检查大范围的距离,以了解可能的尺度、自相似性和液滴尺寸分布的功能结构,以便更好地与覆盖大面积降水的遥感器测量相连接。 这项工作的首要目标是收集和分析水平尺度降雨量的时间序列观测结果,范围从厘米(使用二维视频测速仪观测)到几十米甚至一百米或更远。 更广泛的影响将通过对改进洪水预测和监测以及更好的土壤侵蚀相关流程的潜在贡献来实现,通过支持学生的实践参与,并通过改善服务于代表性不足群体的本科机构的观测基础设施。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Refinements to Data Acquired by 2-Dimensional Video Disdrometers
对二维视频测距仪采集的数据进行改进
- DOI:10.3390/atmos11080855
- 发表时间:2020
- 期刊:
- 影响因子:2.9
- 作者:Larsen, Michael L.;Blouin, Christopher K.
- 通讯作者:Blouin, Christopher K.
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Michael Larsen其他文献
Randomized sham-controlled trial of the 6-month swallowable gas-filled intragastric balloon system for weight loss.
对为期 6 个月的可吞咽充气胃内气球系统进行减肥的随机假对照试验。
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:3.1
- 作者:
Shelby Sullivan;J. Swain;G. Woodman;S. Edmundowicz;T. Hassanein;V. Shayani;John Fang;M. Noar;G. Eid;Wayne J. English;N. Tariq;Michael Larsen;S. Jonnalagadda;D. Riff;J. Ponce;D. Early;E. Volckmann;A. Ibele;Matthew D. Spann;K. Krishnan;J. Bucobo;A. Pryor - 通讯作者:
A. Pryor
Petechial hemorrhages of the tympanic membrane in attempted suicide by hanging: A case report
- DOI:
10.1016/j.jflm.2012.05.007 - 发表时间:
2013-02-01 - 期刊:
- 影响因子:
- 作者:
Eva Rye Rasmussen;Per Leganger Larsen;Kjeld Andersen;Michael Larsen;Klaus Qvortrup;Hans Petter Hougen - 通讯作者:
Hans Petter Hougen
DIAGNOSTIC VALUE AND COST OF MRCP AND EUS FOR THE EVALUATION OF CHOLEDOCHOLITHIASIS: A RETROSPECTIVE COHORT ANALYSIS
- DOI:
10.1016/j.gie.2024.04.1108 - 发表时间:
2024-06-01 - 期刊:
- 影响因子:
- 作者:
Karena Puldon;Logan Pierce;Patrick Avila;Michael Larsen;Sun-Chuan Dai;Mustafa Arain;Abdul Kouanda - 通讯作者:
Abdul Kouanda
On The Correlation Of Binary M-sequences
- DOI:
10.1023/a:1008383811226 - 发表时间:
1999-01-01 - 期刊:
- 影响因子:1.200
- 作者:
John Friedlander;Michael Larsen;Daniel Lieman;Igor Shparlinski - 通讯作者:
Igor Shparlinski
Tensor product Markov chains and Weil representations
张量积马尔可夫链与韦伊表示
- DOI:
10.1016/j.jalgebra.2025.05.041 - 发表时间:
2025-11-15 - 期刊:
- 影响因子:0.800
- 作者:
Jason Fulman;Michael Larsen;Pham Huu Tiep - 通讯作者:
Pham Huu Tiep
Michael Larsen的其他文献
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{{ truncateString('Michael Larsen', 18)}}的其他基金
RUI: Dynamic Guanidine-based Polymer Networks
RUI:动态胍基聚合物网络
- 批准号:
2105149 - 财政年份:2021
- 资助金额:
$ 32.54万 - 项目类别:
Continuing Grant
Collaborative Research to Explore the Spatial/Temporal Statistical-Physical Structures of Rain in the Vertical Plane
探索垂直平面降雨时空统计物理结构的合作研究
- 批准号:
2001490 - 财政年份:2020
- 资助金额:
$ 32.54万 - 项目类别:
Standard Grant
Developing a Life Sciences Workforce with Strong Quantitative Skills
培养具有强大定量技能的生命科学员工队伍
- 批准号:
1742241 - 财政年份:2018
- 资助金额:
$ 32.54万 - 项目类别:
Standard Grant
Collaborative Research: The Relationship of the Spatial/Temporal Variability of Rain to Scaling
合作研究:降雨的时空变化与尺度的关系
- 批准号:
1823334 - 财政年份:2018
- 资助金额:
$ 32.54万 - 项目类别:
Standard Grant
Collaborative Research: The Meteorological Variability of the Two Dimensional/Temporal Structures of Drop Size Distributions and Rain
合作研究:雨滴尺寸分布和降雨的二维/时间结构的气象变化
- 批准号:
1532977 - 财政年份:2015
- 资助金额:
$ 32.54万 - 项目类别:
Continuing Grant
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