Short range prediction and monitoring of downbursts over Indian region

C. Johny, V. S. Prasad, S. K. Singh, S. Basu
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Abstract

Convective downdraft motions and related outflow wind considered as an eventual source of potential damage which can be more severe in the aviation sector. A great variety of atmospheric environments can produce these downdraft motions. These events are not easily detectable using conventional weather radar or wind shear alert systems, while Doppler radars are useful for identifying these Downbursts. In order to identify the situations that can cause these downdraft events different diagnostic tools are designed. Recently launched Indian satellite INSAT-3D, with atmospheric sounder and imager on board, is capable of identifying regions of downburst occurrence and can help in monitoring them in real time. Some Downburst events reported over different parts of India, during January-April period is investigated using Microburst Wind Speed Potential Index (MWPI) and thermodynamic characteristics derived from the NCMRWF GFS (NGFS) model. An attempt is made to make a short range prediction of these events using MWPI computed from NGFS model forecasts. The results are validated with in-situ observations and also by employing INSAT-3D data and it is shown that the method has a reasonable success. All the investigated downdraft events are associated with the hybrid Microburst environment.
印度地区俯冲暴的短期预报和监测
对流下降气流运动和相关的流出风被认为是潜在损害的最终来源,在航空领域可能更为严重。各种各样的大气环境都能产生这种下降气流运动。使用传统的气象雷达或风切变警报系统不容易检测到这些事件,而多普勒雷达对于识别这些下暴是有用的。为了识别可能导致这些下沉气流事件的情况,设计了不同的诊断工具。最近发射的印度卫星INSAT-3D配有大气测深仪和成像仪,能够识别下暴发生的区域,并有助于实时监测。本文利用微暴风速势指数(MWPI)和NCMRWF GFS (NGFS)模式的热力学特征对1 - 4月期间印度不同地区报道的一些下暴事件进行了研究。尝试利用NGFS模式预报计算的MWPI对这些事件进行短期预报。通过现场观测和INSAT-3D数据对结果进行了验证,表明该方法取得了一定的成功。所有研究的下沉气流事件都与混合型微爆环境有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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