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Development of Algorithm for Detecting Strong Wind Location due to Gust Using Weather Radar Information

机译:使用天气雷达信息,通过阵风检测强风定位的算法

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摘要

Since gusts such as tornados, gust fronts, and downbursts are localized and short time phenomena, they cannot always be detected with existing anemometers along railways used for train operation. Therefore, to ensure keep the safety of train operations against these gusts, an algorithm was developed for extracting the strong wind areas on the ground. This algorithm is based consists of two parts. The first is to detect gust indices in upper air layers from echo and Doppler wind velocity observed with existing weather radar, and the second is to estimate the surface wind velocity of ground surface from upper air gust indices using cal-culation results of previous gust events using a meteorological model.
机译:由于诸如龙卷风,阵风,镇压的阵风是本地化和短时间的现象,因此不能沿着用于列车运行的铁路的现有风光仪来检测它们。因此,为了确保对这些阵风的列车操作保持安全,开发了一种用于在地面上提取强风区域的算法。该算法基于两个部分。首先是使用现有天气雷达观察到的回波和多普勒风速中的上部空中层中的阵风指数,第二个是使用先前阵风事件的CAL-CULICULE结果来估计地面表面的表面风速。使用气象模型。

著录项

  • 来源
    《Quarterly Report of RTRI 》 |2020年第2期| 96-102| 共7页
  • 作者单位

    Meteorological Disaster Prevention Laboratory Disaster Prevention Technology Division;

    Meteorological Disaster Prevention Laboratory Disaster Prevention Technology Division;

    Meteorological Disaster Prevention Laboratory Disaster Prevention Technology Division;

  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    gust; weather radar; numerical simulation;

    机译:阵风;天气雷达;数值模拟;

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