首页> 外文学位 >Forecasting storm duration using radar storm tracking.
【24h】

Forecasting storm duration using radar storm tracking.

机译:使用雷达风暴跟踪预测风暴持续时间。

获取原文
获取原文并翻译 | 示例

摘要

Although flash flooding is one of the leading causes of weather-related fatalities; it is one of the least researched topics in meteorology. This research focuses on developing a more reliable measure for flash flood forecasting that will help forecasters identify areas that are threatened by heavy rainfall totals.; Calculation of the rear edge locations/velocities of storm cells are compared to the centroid locations/velocities to determine storm cell durations, which are then compared to precipitation totals measured by WATADS and two rain gauges. Several flash flood and non-flash flood events are examined to show that the rear edge velocity is slower than the centroid velocity which could underestimate the storm duration and the precipitation totals produced.; Analysis conducted of the rear edge in the cases used shows that it moves on average 2.5 ms-1 slower than the centroid velocities in the flash flood events, while only 0.6 ms-1 slower in the non-flash flood events. Estimated storm durations provide little correlation with the precipitation totals, which implies that storm duration should be used along with other factors in the process of forecasting for precipitation totals and the occurrence of flash floods.
机译:尽管山洪泛滥是与天气有关的死亡的主要原因之一;它是气象学研究最少的主题之一。这项研究的重点是为山洪预报制定一种更可靠的措施,这将有助于预报员确定受到强降雨总量威胁的地区。将风暴单元的后边缘位置/速度的计算与质心位置/速度进行比较,以确定风暴单元的持续时间,然后将其与通过WATADS和两个雨量计测得的降水总量进行比较。考察了几次暴洪和非暴洪事件,表明后边缘速度比质心速度慢,这可能低估了风暴持续时间和产生的降水总量。在所用情况下,对后边缘的分析表明,在闪洪事件中,其后移速度平均比质心速度慢2.5 ms-1,而在非闪洪事件中,其后移速度仅慢0.6 ms-1。估计的风暴持续时间与降水总量几乎没有关联,这意味着在预测降水总量和山洪暴发的过程中,应将风暴持续时间与其他因素一起使用。

著录项

  • 作者

    Jankowski, David M.;

  • 作者单位

    University of Missouri - Columbia.;

  • 授予单位 University of Missouri - Columbia.;
  • 学科 Atmospheric Sciences.
  • 学位 M.S.
  • 年度 2006
  • 页码 86 p.
  • 总页数 86
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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