Improving the Predictability of Severe Convective Weather Processes by Using Wind Vectors and Potential Temperature Changes: A Case Study of a Severe Thunderstorm
Joint Authors
Wang, Hao
Chen, Gangyi
Lei, Huanhuan
Wang, Yongqian
Tang, Shunxian
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-07-19
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wang, Hao& Chen, Gangyi& Lei, Huanhuan& Wang, Yongqian& Tang, Shunxian. 2016. Improving the Predictability of Severe Convective Weather Processes by Using Wind Vectors and Potential Temperature Changes: A Case Study of a Severe Thunderstorm. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1095674
Modern Language Association (MLA)
Wang, Hao…[et al.]. Improving the Predictability of Severe Convective Weather Processes by Using Wind Vectors and Potential Temperature Changes: A Case Study of a Severe Thunderstorm. Advances in Meteorology No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1095674
American Medical Association (AMA)
Wang, Hao& Chen, Gangyi& Lei, Huanhuan& Wang, Yongqian& Tang, Shunxian. Improving the Predictability of Severe Convective Weather Processes by Using Wind Vectors and Potential Temperature Changes: A Case Study of a Severe Thunderstorm. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1095674
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095674