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Advances in Meteorology
Volume 2016 (2016), Article ID 8320189, 11 pages
http://dx.doi.org/10.1155/2016/8320189
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.

How to Cite this Article

Hao Wang, Gangyi Chen, Huanhuan Lei, Yongqian Wang, and Shunxian Tang, “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, Article ID 8320189, 11 pages, 2016. doi:10.1155/2016/8320189