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Advances in Meteorology
Volume 2016 (2016), Article ID 8320189, 11 pages
Research Article

Improving the Predictability of Severe Convective Weather Processes by Using Wind Vectors and Potential Temperature Changes: A Case Study of a Severe Thunderstorm

1College of Meteorological Observation, Chengdu University of Information Technology, Chengdu 610225, China
2College of Management, Chengdu University of Information Technology, Chengdu 610225, China
3Key Laboratory of Meteorological Disasters, Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China
4College of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, China

Received 4 April 2016; Revised 14 June 2016; Accepted 20 June 2016

Academic Editor: Eduardo García-Ortega

Copyright © 2016 Hao Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.