首页> 外文期刊>Current Science: A Fortnightly Journal of Research >Monitoring fog at IGI Airport and analysis of its runway-wise spatio-temporal variations using Meso-RVR network
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Monitoring fog at IGI Airport and analysis of its runway-wise spatio-temporal variations using Meso-RVR network

机译:使用Meso-RVR网络监控IGI机场的雾气并分析其跑道时空变化

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摘要

Fog affects aviation severely at the Indira Gandhi International (IGI) Airport. With nearly 700 flights operating daily, it requires efficient coordination among various stakeholders for mitigating the effect of fog. The Meteorological Watch Office (MWO) at the IGI Airport aims at providing best fog monitoring and forecasting solution through an integrated system by adopting innovative methods. In the present article, we briefly outline the fog monitoring, forecasting and dissemination system implemented by the India Meteorological Department (IMD) at the IGI Airport for providing weather service to all the three runways at the airport. In view of the following winter of 2008-2009 experienced very high duration of 147 h of CAT-III dense fog, attempts have been made to find their unique characteristics based on various visibility ranges by analysing hourly general visibility data of the season of 2008-2009 and similar data since 1981. Fog occurrence being a highly meso-scale event, another objective was to find runway-wise spatio-temporal variations of these fog characteristics, at various runway visual ranges (RVRs), using data from a very high resolution network of seven RVR instruments installed at these three runways.
机译:雾对英迪拉·甘地国际(IGI)机场的航空业造成严重影响。每天有近700趟航班运行,因此需要各种利益相关者之间的有效协调以减轻雾的影响。 IGI机场的气象监视办公室(MWO)旨在通过采用创新方法的集成系统,提供最佳的雾气监测和预报解决方案。在本文中,我们简要概述了由印度气象局(IMD)在IGI机场实施的雾气监测,预报和传播系统,该系统为机场的所有三个跑道提供气象服务。由于接下来的2008-2009年冬季经历了147小时的CAT-III浓雾持续时间非常长的情况,因此已尝试通过分析2008-2009年季节的每小时总体能见度数据,根据各种能见度范围找到其独特特征。 2009年和1981年以来的类似数据。雾的发生是高度中尺度的事件,另一个目标是使用来自非常高分辨率的数据,在各种跑道视程(RVR)下找到这些雾特征在跑道上的时空变化。在这三个跑道上安装的七台RVR仪器组成的网络。

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