首页> 外文期刊>Asia-Pacific journal of atmospheric sciences >Evaluation of Supercell Storm Triggering Factors Based on a Cloud Resolving Model Simulation
【24h】

Evaluation of Supercell Storm Triggering Factors Based on a Cloud Resolving Model Simulation

机译:基于云解析模型模拟的超围栏风暴触发因子评估

获取原文
获取原文并翻译 | 示例
       

摘要

An attempt has been made in this study to examine the conditional instability parameters in the selected area and to determine the main ingredients responsible for initiation and evolution of supercell storm over Skopje, Macedonia on 6 August 2016. WRF model forecasts provide the basic meteorological parameters for cloud model initialization and the detail information about atmospheric instability potential as triggering factor for severe convection. The cloud model simulation has been performed with very fine spatial and temporal resolution capable to resolve the detail aspects of convection. The results utilizing this novel method suggest that, upper level lifting, moisture advection, large CAPE, near surface convergence and increased potential vortices in the selected area play substantial role in early assessment of the atmospheric status, convective instability and storm potential. In addition the directional wind shear (veering) at the near surface layer, high storm helicity index, differential heating induced by the strong local forcing environment serve as triggering factors for initiation of supercell storm with rotational updrafts-mesocyclone. The cloud model simulation with fine resolution allows more detail insight into the storm dynamics and the mechanism of generation of rotational updrafts and mesocyclone, a hook echo signature and the presence of bounded weak echo region as ingredients for supercellular structure and evolution. The overshooting top of 15km, peak updraft speed of 40m/s, wind gust of 35m/s and reflectivity which exceeds 70 dBZ indicates to the occurrence of a very severe storm. A longer live cycle of storm and the intense water production, with extreme rainfall rate of 38mm/5min, contribute to formation of excessive torrential rainfall and local catastrophic flooding.
机译:在本研究中取得了一种尝试,以检查所选区域的条件不稳定参数,并确定2016年8月6日在马其顿的马其顿斯科普布的超级细胞风暴启动和演变的主要成分。WRF模型预测提供了基本的气象参数云模型初始化和关于大气不稳定电位的细节信息作为严重对流的触发因子。云模型模拟已经使用非常精细的空间和时间分辨率进行,能够解决对流的详细方面。利用这种新方法的结果表明,上层升降,水分平流,大斗篷,近地表收敛和所选区域中的潜在涡流在早期评估大气状态,对流不稳定性和风暴潜力的早期评估中起重要作用。此外,近表面层的定向风剪(转向),高风暴肝脏指数,由强大的局部强制环境引起的差异加热用作旋转上升草鞘芯的超级细胞风暴的引发因素。具有精细分辨率的云模型模拟允许更详细地了解风暴动态和旋转上升流和中间胞链轴的产生机制,钩子回波签名和界限弱回声区域的存在作为超细结构和进化的成分。 15km的过冲顶部,峰值上升速度为40m / s,35米/秒的风力阵风和超过70dbz的反射率表明发生了非常严重的风暴。较长的风暴活循环和强烈的水产产量,极端的降雨率为38mm / 5min,有助于形成过度暴雨和局部灾难性的洪水。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号