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Prediction of severe thunderstorms over Sriharikota Island by using the WRF-ARW Operational Model

机译:利用WRF-ARW运行模型预测Sriharikota岛上的强雷暴

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Operational short range prediction of Meso-scale thunderstorms for Sriharikota(13.7~0N ,80.18~0E) has been performed using two nested domains 27 & 9Km configuration of Weather Research & Forecasting-Advanced Research Weather Model (WRF- ARW V3.4).Thunderstorm is a Mesoscale system with spatial scale of few kilometers to a couple of 100 kilometers and time scale of less than an one hour to several hours, which produces heavy rain, lightning, thunder, surface wind squalls and down-bursts. Numerical study of Thunderstorms at Sriharikota and its neighborhood have been discussed with its antecedent thermodynamic stability indices and Parameters that are usually favorable for the development of convective instability based on WRF ARW model predictions. Instability is a prerequisite for the occurrence of severe weather, the greater the instability, the greater will be the potential of thunderstorm. In the present study, K Index, Total totals Index (TTI), Convective Available Potential Energy (CAPE), Convective Inhibition Energy (CINE), Lifted Index (LI), Precipitable Water (PW), etc. are the instability indices used for the short range prediction of thunderstorms. In this study we have made an attempt to estimate the skill of WRF ARW predictability and diagnosed three thunderstorms that occurred during the late evening to late night of 31st July, 20th September and 2nd October of 2015 over Sriharikota Island which are validated with Local Electric Field Mill (EFM), rainfall observations and Chennai Doppler Weather Radar products. The model predicted thermodynamic indices (CAPE, CINE, K Index, LI, TTI and PW) over Sriharikota which act as good indicators for severe thunderstorm activity.
机译:使用天气研究与预报-高级研究天气模型(WRF-ARW V3.4)的两个嵌套域27和9Km配置,对Sriharikota(13.7〜0N,80.18〜0E)的中尺度雷暴进行了业务短程预测。雷暴是一种中尺度系统,空间尺度在几公里到几百公里之间,时间尺度不到一小时到几小时,会产生大雨,雷电,雷雨,地面狂风和暴风雨。讨论了斯里哈里科塔及其附近地区雷暴的数值研究,及其前期热力学稳定性指标和基于WRF ARW模型预测通常有利于对流不稳定的参数。不稳定是发生恶劣天气的先决条件,不稳定程度越大,雷暴的可能性就越大。在本研究中,K指数,总总指数(TTI),对流可用势能(CAPE),对流抑制能(CINE),提升指数(LI),可沉淀水(PW)等是用于雷暴的短期预测。在这项研究中,我们尝试估算WRF ARW的可预测性,并诊断出2015年7月31日,9月20日和10月2日晚在斯里兰卡哈里科塔岛上发生的三场雷暴,并已通过当地电场验证磨(EFM),降雨观测和钦奈多普勒天气雷达产品。该模型预测了Sriharikota上的热力学指数(CAPE,CINE,K指数,LI,TTI和PW),可作为严重雷暴活动的良好指标。

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