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

基本信息

批准号：
1823072
负责人：
Arthur Jameson
金额：
$ 21.17万
依托单位：
RJH Scientific Incorporated
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-10-01 至 2020-03-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1823072&HistoricalAwards=false
关键词：
Collaborative Research Relationship Spatial Temporal

项目摘要

Scientists have been studying the non-homogeneity of rainfall for decades. Simply put, raindrops collide, break apart, cluster, and spread out on their way to the ground. This introduces a variety of fall speeds, drop sizes, and instantaneous rainfall intensities that have significant impacts on a wide range of topics from flood forecasting to erosion to communications system availability. This research project will take advantage of a newly developed network of rain sensors to conduct a multitude of studies on rainfall characteristics. The main societal impacts fall under the umbrella of public safety and productivity. Rainfall characteristics are important for weather radars and weather forecast models for flood prediction, and for the prediction of communications drop-outs along land links and satellites. Undergraduate students will participate in the research, allowing for development of the next generation of scientists.The research team will continue their studies into the spatial and temporal variability of rainfall with an enhanced focus on scaling. The team will perform structural and statistical exploration of rain by collecting and analyzing time series rain observations over a newly configured network that consists of two 2D video disdrometers (2DVD), six 1D optical disdrometers (1DVD), and 21 Laser Precipitation Monitors (LPM). The objectives to be addressed during the work period include: exploring the frequency of the statistical heterogeneity of rain in a wider variety of meteorological conditions, comparing 2DVD observations to those interpolated over a small network of LPMs, characterizing the 1DVD estimates with those of different neighboring instruments, using 2DVD data to detect structures having scales relevant to radar Bragg scatter from precipitation, expanding our understanding of the scaling of DSD and their integrated parameters in statistically homogeneous conditions and in a variety of different meteorological conditions, beginning preliminary observations of the effect of measurements at different heights above ground, and combining 2DVD observations from two instruments for unique simultaneity studies.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

几十年来，科学家一直在研究降雨的非同质性。简而言之，雨滴碰撞，分解，簇状并散布在地面的路上。这引入了各种秋季速度，大小和瞬时降雨强度，这些降雨强度对从洪水预测到侵蚀到通信系统的可用性有重大影响。该研究项目将利用新开发的雨传感器网络来进行大量有关降雨特征的研究。主要的社会影响属于公共安全和生产力的保护。降雨特征对于洪水预测的天气雷达和天气预报模型以及沿土地连接和卫星的通信辍学的模型至关重要。本科生将参与研究，允许发展下一代科学家。研究团队将继续研究降雨的空间和时间变化，并增强对扩展的关注。该团队将通过在新配置的网络上收集和分析时间序列的降雨观测来对雨进行结构和统计探索，该网络由两个2D视频序列仪（2DVD），六个1D光学序列仪（1DVD）和21个激光沉淀显示器（LPM）组成。在工作期间要解决的目标包括：在更广泛的气象条件下探索雨水统计异质性的频率，将2DVD观察结果与在LPM的少量网络中插值的观察结果进行比较，从而表征了1DVD估计的估计值，以范围的范围与范围相关的范围，该估算的范围相关的范围是范围的范围。 DSD及其在统计均匀条件下以及各种不同的气象条件下的综合参数开始，开始初步观察，即在地面以上不同高度处的测量效果的初步观察，并结合了两种工具的2DVD观察结果，以实现独特的同步研究。这些奖项通过NSF的法定宣称和范围进行了良好的影响。标准。