Statistical characteristics, circulation patterns, and environmental features of severe convective wind events in Beijing
            
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                更新:2025-04-09 10:44:58
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                张贴报告
            
            
            
                摘要
                A climatological study of 206 severe convective wind (SCW) events from April to September during 2016–2023 in Beijing was conducted. Results show events primarily occur in summer, with a peak in the afternoon and a much weaker secondary peak in the early morning. They are relatively more frequent in mountainous areas than in plains,with the southern foothills of Yanshan Mountain being the most affected area.
Circulation patterns associated with SCW events, ranked by frequency, include the low-pressure vortex-subtropical high, deep trough, low-level jet, subtropical high periphery, transverse trough, dual low-pressure vortex, and easterly flow patterns. Convective organization modes, also ranked by frequency, consist of cluster cells, broken line, nonlinear-shaped systems, hybrid systems, squall line, individual cell, and bow echo. SCW events are mainly triggered by convective systems coming from the northwest and west. In environments with high precipitable water, such as the low-level jet and subtropical high periphery patterns, nonlinear-shaped and hybrid systems are more prevalent. In contrast, in very dry environments, such as the deep trough pattern, broken lines and cluster cells occur more frequently. Strongly organized convective systems, such as squall lines and bow echoes, often exist in circulations with a westerly low-pressure vortex. Generally, a drier atmospheric environment tends to produce stronger winds, while moist conditions increase the frequency of SCW events. These findings highlight the influence of circulation patterns and environmental conditions in SCW events.
             
            
                关键词
                Severe convective wind,Circulation pattern,Convective organization mode,Environmental feature,Severe weather
             
            
            
                    稿件作者
                    
                        
                                    
                                                                                                                        
                                    杨慧鑫
                                    中国气象科学院灾害天气科学与技术国家重点实验室
                                
                                    
                                        
                                                                            
                                    夏茹娣
                                    中国气象科学院灾害天气科学与技术国家重点实验室
                                
                                    
                                                                                                                        
                                    于波
                                    北京市气象局
                                
                                    
                                                                                                                        
                                    李丰
                                    中国气象科学院灾害天气科学与技术国家重点实验室
                                
                                             
                          
    
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