Improving the Predictability of Severe Convective Weather Processes by Using Wind Vectors and Potential Temperature Changes: A Case Study of a Severe Thunderstorm
Improving the Predictability of Severe Convective Weather Processes by Using Wind Vectors and Potential Temperature Changes: A Case Study of a Severe Thunderstorm
复制标题
利用风矢量和潜在温度变化提高强对流天气过程的可预测性：以强雷暴为例
DOI：
10.1155/2016/8320189
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发表时间：
2016-07
影响因子：
2.9
通讯作者：
Tang Shunxian
中科院分区：
文献类型：
--
作者：
Wang Hao;Chen Gangyi;Lei Huanhuan;Wang Yongqian;Tang Shunxian
强烈的局部对流天气事件能够造成广泛的破坏，但分辨率有限的天气观测系统和雷达监测通常只能提供几分钟到几小时的预警时间。本文对一次极端强对流天气过程中若干特征量的累积演变进行了综合分析。研究结果表明，强对流天气的主要特征是大气中热能的不均匀分布，而这种热能分布的结构决定了大气的不稳定程度。在过程开始时，风场结构中出现垂直的“顺时针滚动流”，并伴随着对流层顶部温度的迅速下降。当这些迹象出现在个案研究中，雷达技术被用来细化的降水区域和空间特征的逼近风暴。雷达回波的高度和垂直变化表明了该系统在空间中移动的特点。这一发现对提高强对流天气预报时效有一定的参考价值。
Strong, local convective weather events are capable of causing extensive damage, but weather observation systems with limited resolution and radar monitoring can typically provide only a few minutes to hours of prior warning time. This paper presents a comprehensive case study of the cumulative evolution of several characteristic quantities during one extremely severe convective weather process. The research results indicate that the main feature of strong convective weather is the uneven distribution of thermal energy in the atmosphere, and the structure of this heat distribution determines the level of instability in the atmosphere. A vertical “clockwise rolling current” occurs in the wind field structure at the beginning of the process, and this is accompanied by a rapid drop in temperature at the top of the troposphere. When these signs occurred in the case study, radar technology was used to refine the precipitation region and spatial characteristics of the approaching storm. The height and vertical evolution of radar echoes were indicative of the characteristics of the system’s movement through space. Such findings may be useful for improving the forecasting times for strong convective weather.
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影响因子：
3.2
作者：
R. A. Madden;Jill Williams
通讯作者：
R. A. Madden;Jill Williams
影响因子：
8
作者：
A. Showalter
通讯作者：
A. Showalter
DOI：
10.1201/9781420087468
发表时间：
2010-03
期刊：
--
影响因子：
--
作者：
Yi Lin;S. Ouyang
通讯作者：
Yi Lin;S. Ouyang
DOI：
--
发表时间：
2002
期刊：
Journal of Chengdu Institute of Meteorology
影响因子：
--
作者：
Peng Li-ping
通讯作者：
Peng Li-ping
DOI：
--
发表时间：
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期刊：
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影响因子：
--
作者：
通讯作者：
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