Collaborative Research: Use of NEXRAD Data to Estimate Rainfall Rate and Rainfall Kinetic Energy Flux

9528886史密斯，拟议的研究将侧重于描述降水及其侵蚀性的各个方面。这项工作将展示如何利用雷达同时提供降雨量和降雨动能，同时以高时空分辨率覆盖大片区域。降雨强度和动能是与土壤侵蚀有关的降水方面的特征，必须对其进行准确监测，以获得更好的土壤流失估计。相对稀疏的雨量计网络被用来估计长期的土壤流失。使用雷达的最大潜在好处之一是扩大这种稀疏测量网络，为易受侵蚀的地区提供全面的复盖。利用WSR-88D的下一代天气雷达(NEXRAD)网络(天气监测雷达-1988多普勒)提供的最新雷达信息，有可能获得更好的估计和更大的灵活性，并创造研究机会。我们将深入探讨雷达在土壤侵蚀研究中的作用和局限性，调查降雨率和降雨动能的时空分布。将进行详细的比较，以测试基于雷达的方法估计降水侵蚀力的性能，与目前完全依赖雨量记录的做法相比。这项研究将基于在密西西比州北部古德温溪研究分水岭收集的数据进行。这一分水岭在两个NEXRAD WSR-88D的雷达覆盖下，孟菲斯(田纳西州)和小石城(阿肯色州)。我们将使用孟菲斯雷达的数据，因为它离集水区很近。除了已经配备了大量仪器的Goodwin Creek分水岭的现有雨量计外，我们还将部署一台滴度计，用于自动测量雨滴的大小分布。

9528886 Smith The proposed research will focus on describing aspects of precipitation and its erosivity. The work will show how to make use of radar to provide rainfall rate and rainfall kinetic energy concurrently, while covering a large area with high spatial and temporal resolution. Rainfall intensity and kinetic energy characterize the aspects of precipitation relevant to soil erosion and have to be monitored accurately to obtain improved soil loss estimates. Relatively sparse networks of raingauges have been used to estimate long-term soil loss. One of the largest potential benefits of using radar is augmenting such sparse gauge networks to provide comprehensive coverage for areas that are subject to erosion. Improved estimation and greater flexibility are likely to be gained and research opportunities created by making use of the newly available radar information provided by the Next Generation Weather Radar (NEXRAD) network of WSR-88D (Weather Surveillance Radar - 1988 Doppler). We will explore in depth the usefulness and limitations of radar for soil erosion studies and investigate and spatial and temporal distributions of rain rate and rainfall kinetic energy. Detailed comparisons will be made to test the performance of the radar-based approach to estimate precipitation erosivity versus present practice which depends exclusively on raingauge records. The study will be made on the basis of data collected in the Goodwin Creek research watershed in northern Mississippi. This watershed is under radar coverage from two NEXRAD WSR-88Ds, Memphis (Tennessee) and Little Rock (Arkansas). We will use data from the Memphis radar because of its proximity to the catchment. In addition to the existing raingauges in the already highly instrumented Goodwin Creek watershed, we will deploy a disdrometer for the automated measurement of raindrop size Distributions.