RAPID: Coordinated Rainfall Analysis of Hurricane Harvey

RAPID：飓风哈维的协调降雨量分析

• 批准号: 1764340
• 负责人: John Nielsen-Gammon
• 金额: $ 9.96万
• 依托单位: Texas A&M University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-11-15 至 2019-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1764340&HistoricalAwards=false
• 关键词: RAPID; Coordinated; Rainfall; Analysis; Hurricane

The landfall and slow movement of Hurricane Harvey created one of the most exceptional precipitation events on record in the United States. This rapid response award will result in the creation of a research-quality rainfall analysis product that can be used by hydrologists, meteorologists, and engineers to study flooding and extreme rainfall events. Traditional rainfall analysis products are limited by potential errors in the underlying data and differences in how ground-based measurements are mixed with weather radar estimates of rainfall. The researchers in this project will collect data about the rain gauges and test the various analysis techniques to provide a product that has high spatial and temporal resolution and quantifiable uncertainty estimates. The impact of the project will be to help improve simulations of urban flooding and to better understand extreme precipitation events. Local high school students will work on teams to collect data for the project, introducing them to scientific research activities.The research team will create a foundational set of rainfall data, metadata, and analyses for use in atmospheric, hydrologic and engineering studies of extreme precipitation events. One of the main project goals is to create a level of consistency and accuracy of the information that goes into the rainfall analyses. The research team will work with other stakeholders to establish metadata needs and standards and then collect the metadata from the network operators. Different rainfall analysis techniques and the sensitivity of the analyses to technique and parameter choices will also be assessed. One result of the project will be to provide analyses and uncertainty quantification to the research community. Other aspects of the research project will be to place Harvey's rainfall into historical context and to establish a dataset for comparison of rain gauge network performance.

飓风哈维的登陆和缓慢移动造成了美国有记录以来最异常的降水事件之一。 这项快速反应奖将产生一种研究质量的降雨分析产品，可供水文学家、气象学家和工程师用于研究洪水和极端降雨事件。 传统的降雨分析产品受到基础数据中潜在错误以及地面测量与天气雷达降雨估计混合方式差异的限制。 该项目的研究人员将收集有关雨量计的数据，并测试各种分析技术，以提供具有高空间和时间分辨率以及可量化的不确定性估计的产品。 该项目的影响将有助于改善城市洪水的模拟，并更好地了解极端降水事件。 当地的高中生将组成团队为项目收集数据，并向他们介绍科学研究活动。研究团队将创建一套基础的降雨数据、元数据和分析，用于极端降水事件的大气、水文和工程研究。 该项目的主要目标之一是使降雨量分析中的信息具有一定程度的一致性和准确性。 研究小组将与其他利益攸关方合作，确定元数据需求和标准，然后从网络运营商那里收集元数据。 还将评估不同的降雨分析技术以及分析对技术和参数选择的敏感性。 该项目的成果之一将是向研究界提供分析和不确定性量化。 该研究项目的其他方面将是将哈维的降雨置于历史背景中，并建立一个数据集，用于比较雨量计网络的性能。