Critical Raindrop Characteristics: Fall Speed, Shape, and Size Distributions

雨滴的关键特征：下落速度、形状和尺寸分布

• 批准号: 1144846
• 负责人: Firat Testik
• 金额: $ 50.42万
• 依托单位: Clemson University
• 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 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1144846&HistoricalAwards=false
• 关键词: Critical; Raindrop; Characteristics; Fall; Speed

The prevailing paradigm in radar meteorology, and precipitation science more generally, has been the assumption that raindrops fall at terminal velocity. However, recent research suggests this is not always the case, revealing an important new aspect of rain that requires further exploration. Under this project a field study designed to uncover new fundamental physics of raindrop fall characteristics will be conducted. More specifically this effort seeks to develop an improved predictive capability for raindrop fall velocity, chord ratio, and size distribution. It is hypothesized deviations from more traditionally-computed terminal velocities may induce deviations from equilibrium chord ratios and in turn introduce errors in inferred drop size distributions. This raises several new questions, the two most important being: (1) What are the actual raindrop fall velocities, chord ratios, and size distributions?; and (2) What are the governing environmental factors and processes responsible for deviations of these quantities away from their equilibrium values, and how can such deviations be predicted for specific conditions (e.g., rainfall rates)? Supported investigators will measure raindrop fall velocity, diameter, and shape using a state-of-the-art high-speed camera and digital image analysis system to seek answers to these and other questions.The intellectual merit of this effort rests in development and interpretation of a unique microphysical dataset that will exploited to uncover raindrop fall characteristics, with a focus on providing relationships with varying rainfall conditions. This approach should lead to improved parameterizations for the drop-size distributions and chord ratio (i.e. drop oblateness, to which polarization-diverse radars are particularly sensitive) in falling precipitation of various types and intensities. This work is thought to be the first systematic study of the actual fall velocity of raindrops and its effects on raindrop geometry and size distribution. Broader impacts will include improved predictive capability for precipitation fall speeds, chord ratios and size distributions, as well as their relationship to rain rates as commonly derived from dual-polarization radar data. These efforts are anticipated to lead to improved retrievals of rainfall rates and accumulations, which may in turn benefit flood prediction, management of water resources, and related inputs to weather, hydrologic and climatological models. Additionally, knowledge gained will serve to improve interpretation of data from a large installed base of Joss-Waldvogel type disdrometers, which typically require a priori assumption of fallspeed to accurately infer rainfall rate. Precipitation research infrastructure at Clemson University will be enhanced through development of an instrumented field site, which will serve as an educational platform for undergraduate and graduate students. Related results will be disseminated via students' dissertations and the peer-reviewed literature.

在雷达气象学和降水科学中，普遍的模式是假设雨滴以终端速度降落。 然而，最近的研究表明，情况并非总是如此，揭示了雨的一个重要的新方面，需要进一步探索。 在这个项目下，将进行一项实地研究，旨在揭示雨滴降落特性的新的基础物理学。 更具体地说，这项工作旨在开发一种改进的预测能力，雨滴下落速度，弦比，和大小分布。 据推测，从更传统的计算终端速度的偏差可能会导致偏离平衡弦比，进而引入推断的液滴尺寸分布的错误。 这就提出了几个新的问题，其中最重要的两个是：（1）雨滴的实际下落速度、弦比和大小分布是什么？以及（2）导致这些量偏离其平衡值的主导环境因素和过程是什么，以及如何在特定条件下预测这种偏离（例如，降雨率）？ 受资助的研究人员将使用最先进的高速摄像机和数字图像分析系统测量雨滴下落的速度、直径和形状，以寻求这些问题和其他问题的答案。这项工作的智力价值在于开发和解释一个独特的微物理数据集，该数据集将被用来揭示雨滴下落的特征，重点是提供与不同降雨条件的关系。 这种方法应导致改进的参数化下降降水的各种类型和强度的水滴尺寸分布和弦比（即下降扁率，极化不同的雷达是特别敏感的）。 这项工作被认为是第一个系统的研究雨滴的实际下降速度及其对雨滴的几何形状和大小分布的影响。 更广泛的影响将包括提高对降水下降速度、弦比和大小分布的预测能力，以及它们与降雨率的关系，这通常是从双极化雷达数据中得出的。 预计这些努力将改善对降雨率和累积量的检索，从而有利于洪水预测、水资源管理以及对天气、水文和气候模型的相关投入。 此外，所获得的知识将有助于改善对大量安装的乔斯-瓦尔德沃格尔型流量计的数据的解释，这些流量计通常需要先验假设下降速度才能准确推断降雨率。 将通过开发仪器化现场来加强克莱姆森大学的降水研究基础设施，该现场将作为本科生和研究生的教育平台。 相关成果将通过学生论文和同行评议文献传播。