首页> 外文期刊>Journal of Hydroinformatics >Evaluation of a near-real time nexrad DSP product in evolution of heavy rain events on the upper Guadalupe River Basin, Texas
【24h】

Evaluation of a near-real time nexrad DSP product in evolution of heavy rain events on the upper Guadalupe River Basin, Texas

机译:德克萨斯州瓜达卢佩河上游大雨事件演变过程中的近实时nexrad DSP产品评估

获取原文
获取原文并翻译 | 示例
           

摘要

This study evaluates the Next Generation Weather Radar (NEXRAD) Digital Storm-Total Precipitation product (DSP) by analyzing 30 rain events on the Upper Guadalupe River Basin, Texas, from September 2006 to May 2007. The DSP product provides relatively accurate information on the evolution of rain events at high spatial and temporal resolutions in near-real time. This is particularly important for rainfall estimation of heavy rain events and flash flood forecasting. The DSP's accuracy is comparable to the other NEXRAD product MPE (multisensor precipitation estimator, at hourly resolution and 4 km grid spacing) at both hourly and event total scales for some heavy rain events, although the DSP is inferior to the MPE product for total rainfall of all 30 rain events analyzed, especially for light rain events. The DSP product shows the best agreement with gauges at ranges of 50-150 km from the radar (with mean absolute estimation bias (MAEB) of +15-22% for total rainfall of 30 rain events), while underestimating precipitation at both close ranges (<30 km) and far ranges (>180 km). The DSP product also tends to underestimate (overestimate) precipitation during event growth (dissipation). However, the total rainfall estimate for all rain events over a long period from DSP shows range dependence and is not recommended for calculation of water resource budget.
机译:本研究通过分析2006年9月至2007年5月在得克萨斯州瓜达卢佩河上游的30次降雨事件,评估了下一代气象雷达(NEXRAD)数字暴风雨总降水量产品(DSP)。高时空分辨率下近实时的降雨事件演变。这对于暴雨事件的降雨估计和山洪预报尤其重要。在某些暴雨事件的小时和事件总尺度上,DSP的精度可与其他NEXRAD产品MPE(每小时分辨率和4 km网格间距的多传感器降水量估算器)相比,尽管DSP在总降雨方面不及MPE产品分析的所有30个降雨事件中,特别是小雨事件。 DSP产品与距雷达50-150 km范围内的仪表显示出最佳一致性(对于30次降雨事件的总降雨量,其平均绝对估计偏差(MAEB)为+ 15-22%),同时低估了两个近距离上的降水量(<30 km)和远距离(> 180 km)。在事件增长(耗散)过程中,DSP产品还倾向于低估(高估)降水。但是,DSP长期提供的所有降雨事件的总降雨量估算显示出范围相关性,因此不建议用于水资源预算的计算。

著录项

  • 来源
    《Journal of Hydroinformatics》 |2013年第2期|464-485|共22页
  • 作者单位

    School of Geography and Planning,and Guangdong Key Laboratory for urbanizatior and Geo-simulation, Sun Yat-sen University, Guangzhou, China;

    Department of Geological Science, University of Texas at San Antonio, 1UTSA Circle, San Antonio, TX 78249, USA;

    Department of Geological Science, University of Texas at San Antonio, 1UTSA Circle, San Antonio, TX 78249, USA;

    NOAA/National Weather Service, Austin/San Antonio Weather Forecast Office, New Braunfels, TX 78130, USA;

    Department of Civil Engineering, University of Texas at San Antonio, 1UTSA Circle, San Antonio, TX 78249,USA;

    Department of Geological Science, University of Texas at San Antonio, 1UTSA Circle, San Antonio, TX 78249, USA;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    DSP; evaluation; MPE; NEXRAD; rain;

    机译:DSP;评估;MPE;NEXRAD;雨;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号