Prediction of severe thunderstorms over Sriharikota Island by using the WRF-ARW operational model

P. G., Rajasekhar M., P. R., Sreeshna T., R. M, S. Ramakrishna
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引用次数: 12

Abstract

Operational short range prediction of Meso-scale thunderstorms for Sriharikota(13.7°N ,80.18°E) 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.
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使用WRF-ARW运作模式预测斯里赫里哥达岛的强雷暴
利用WRF- ARW V3.4气象研究与预报高级气象研究模式(WRF- ARW V3.4) 27和9Km两个嵌套域配置,对斯里赫里哥达省(13.7°N,80.18°E)中尺度雷暴进行了短期业务预报。雷暴是一种中尺度系统,空间尺度从几公里到几百公里,时间尺度从一小时到几小时,产生大雨、闪电、雷声、地面风飑和骤雨。基于WRF ARW模式预报,讨论了Sriharikota及其邻近地区雷暴的前期热力学稳定性指数和有利于对流不稳定性发展的参数。不稳定是恶劣天气发生的先决条件,不稳定越大,雷暴发生的可能性就越大。在本研究中,K指数、总总量指数(TTI)、对流有效势能(CAPE)、对流抑制能(CINE)、抬升指数(LI)、可降水量(PW)等是用于雷暴短时预报的不稳定指标。在本研究中,我们尝试估计WRF ARW可预测性的技能,并诊断了2015年7月31日,9月20日和10月2日在斯里赫里戈达岛发生的三次雷暴,这些雷暴发生在2015年7月31日深夜至深夜,并通过当地电场磨(EFM),降雨观测和钦奈多普勒天气雷达产品进行了验证。该模式预测了斯里赫里戈达省的热力指数(CAPE、CINE、K指数、LI、TTI和PW),这些指数可以作为强雷暴活动的良好指标。
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