Abstract

The characteristics and influence of the dynamical, thermal, and microphysical processes of a squall line are studied using the WRF model. This squall line occurred in the Yangtze and Huaihe river basins in Anhui Province on 5 July 2013. The active cold pool and the downdraft caused by the rear inflow contribute to the development of the squall line. The cold pool develops strongly, moves ahead of the storm, and then cuts off the supply of the warm air to the updraft, leading to the storm’s demise. Analysis of the microphysics budget shows that snow crystals contribute to the rainfall rate most during the evolution of the squall line. The heating effect is predominant at the high level, whereas cooling plays an important role at the low level. A typical stratified ‘seeder–feeder’ structure of the cloud exists primarily in the convective region of the squall line. The heights of the cloud ice and snow layers decrease continuously with time, and both the seeder and feeder cloud decrease dramatically in the dissipation stage, which leads to the reduced rainfall rate.

Details

Title
Real-time simulation and mechanistic analysis of a squall line case in East China
Author
Yang, SU 1 ; Fan, PING 2 ; Xin-Yong, SHEN 1 ; Chun-Sheng MIAO 3 

 Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China; Laboratory of Cloud-Precipitation Physics and Severe Storms (LACS), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China 
 Laboratory of Cloud-Precipitation Physics and Severe Storms (LACS), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China 
 Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China 
End page
400
Publication year
2016
Publication date
Sep 2016
Publisher
KeAi Publishing Communications Ltd
ISSN
16742834
e-ISSN
23766123
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2215241501
Copyright
© 2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.