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气象:2026,52(1):56-69
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基于X波段相控阵雷达的辽宁抚顺短时暴雨过程中多涡旋观测特征研究
平凡,杨磊,袁亮,曹世腾,杨雪,袁潮,郭益嘉,王改利,孙丽
(全国暴雨研究中心,武汉 430000; 中国气象科学研究院灾害天气科学与技术全国重点实验室,北京 100081; 成都信息工程大学大气科学学院,成都 610225; 中国气象局沈阳大气环境研究所,沈阳 110166; 辽宁省盘锦市气象局,盘锦 124010; 辽宁省气象灾害监测预警中心,沈阳 110166)
Observation Characteristics of Multi-Vortices During Short-Time Rainstorm in Fushun of Liaoning Province Based on X-Band Phased Array Radar
PING Fan, YANG Lei,YUAN Liang,CAO Shiteng,YANG Xue, YUAN Chao,GUO Yijia,WANG Gaili,SUN Li
(Heavy Rainfall Research Center of China, Wuhan 430000; State Key Laboratory of Severe Weather Meteorological Science and Technology, Chinese Academy of Meteorological Sciences, Beijing 100081; School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225; Shenyang Instiute of Atmospheric Environment, CMA, Shenyang 110166; Panjin Meteorological Office of Liaoning Province, Panjin 124010; Liaoning Meteorological Disaster Monitoring and Early Warning Centre, Shenyang 110166)
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投稿时间:2024-10-09    修订日期:2025-09-14
中文摘要: 2023年8月4日夜间,受罕见的伴有16个γ中尺度涡旋(简称为MV)的降水系统影响,辽宁抚顺发生了局地短时暴雨天气。文章利用X波段相控阵雷达等多源资料,研究了此次过程中多MV的形成原因,归纳了产生强降水MV的观测特征。此次过程中,抚顺受高空槽和低空切变线影响,具有充沛水汽、较低抬升凝结高度等有利于短时暴雨发生的环境条件。在强垂直风切变的背景下,当辐合线和等温线的夹角加大时,X波段相控阵雷达监测到辐合线上出现16个MV,MV的持续时间、厚度和顶高的平均值分别为17 min、1.7 km和3.5 km,为低空浅薄的MV。风暴在出现MV后,出现强降水(5 min降水量超过10 mm)多达49次,强降水与MV的平均距离仅为6.2 km。其中第1个和第4个生成的MV共产生44次强降水,占所有强降水的89%,属于强降水MV。相比于其他MV,这两个强降水MV具有更长的生命史和移动路径,旋转强度更强,厚度也更厚。强降水MV均生成于边界层急流显著增强、0~1 km风矢量差超过15 m·s-1和地面气温高达28℃的阶段;在生成初期,其低空旋转速度更强,旋转强度达到中等强度中气旋标准,强降水MV上空的风暴发展旺盛,此时附近没有出现强降水;当强降水MV旋转速度减弱时,风暴高度快速下降,其附近立刻出现强降水。另外,存在多个较弱MV与强降水MV合并的现象,这有利于强降水MV的维持。因而,MV位置和旋转强度的演变是提前预判强降水的关键。
Abstract:Affected by a rare precipitation system with 16 mesovortices (referred to as MV), a local short-time rainstorm process occurred in Fushun of Liaoning Province on the night of 4 August 2023. In this paper, the formation mechanism of MV and the observation characteristics of MV that produced heavy precipitation are analyzed based on multi-source data such as X-band phased array radar. The results show that Fushun was influenced by the high-level trough and low-level shear line and had the abundant water vapor and low lifting condensation height, which were favorable environmental conditions for short-time rainstorm. When the angle between the convergence line and the isotherm line increased under the strong vertical wind shear, a total of 16 MV were detected by X-band phased array radar. The average duration, thickness and top height of the MV were 17 min, 1.7 km and 3.5 km, respectively. These vortices are low-level shallow MV. There were up to 49 times of heavy precipitation with the rainfall amount reaching 10 mm within 5 min, and the average distance between the heavy precipitation stations and MV was only 6.2 km. There were 44 times of heavy precipitation caused by the first and fourth MV, accounting for 89% of all heavy precipitation. Compared to other MV, the two MV that produced heavy precipitation had a longer lifetime and moving distance, with stronger rotation intensity and greater thickness. The two MV were both generated during the stage where the boundary layer jet was significantly enhanced, the 0-1 km wind vector difference exceeded 15 m·s-1 and the surface temperature was higher than 28℃. In the early stage of the MV, the low-level rotation was even stronger reaching the standard of moderate intensity mesoscale cyclones, with vigorous storm developing above. There was no heavy precipitation near the MV at this time. Subsequently, the rotational speed of the MV diminished, and the storm height rapidly decreased. At this moment, heavy precipitation occurred immediately near the MV. In addition, there was a phenomenon of several weaker MV merging with MV that produced heavy precipitation, which was beneficial for the MV sustainment. In conclusion, the evolution of the position and rotational intensity of MV was crucial for the forecasting of heavy precipitation.
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基金项目:全国暴雨研究开放基金(BYKJ2024M03)、中国气象局创新发展专项(CXFZ2022J059、CXFZ2023J013)、中国气象局青年创新团队(CMA2024QN05)、中国气象局复盘专项(FPZJ2024030、FPZJ2024026)、灾害天气国家重点实验室开放课题(2024LASW-B25)、中国气象局东北冷涡实验室开放基金(2024SYIAEKFZD02)、辽宁省科技计划联合计划(2024-MSLH-232)、中国气象科学研究院基本科研业务费项目(2023Z019)和辽宁省气象局核心攻关项目(HXGGZ202402)共同资助
作者单位
平凡 全国暴雨研究中心武汉 430000 中国气象科学研究院灾害天气科学与技术全国重点实验室北京 100081 成都信息工程大学大气科学学院成都 610225 中国气象局沈阳大气环境研究所沈阳 110166 辽宁省盘锦市气象局盘锦 124010 
杨磊 全国暴雨研究中心武汉 430000 中国气象科学研究院灾害天气科学与技术全国重点实验室北京 100081 中国气象局沈阳大气环境研究所沈阳 110166 辽宁省气象灾害监测预警中心沈阳 110166 
袁亮 成都信息工程大学大气科学学院成都 610225 
曹世腾 全国暴雨研究中心武汉 430000 中国气象科学研究院灾害天气科学与技术全国重点实验室北京 100081 中国气象局沈阳大气环境研究所沈阳 110166 辽宁省气象灾害监测预警中心沈阳 110166 
杨雪 全国暴雨研究中心武汉 430000 中国气象科学研究院灾害天气科学与技术全国重点实验室北京 100081 中国气象局沈阳大气环境研究所沈阳 110166 辽宁省气象灾害监测预警中心沈阳 110166 
袁潮 中国气象局沈阳大气环境研究所沈阳 110166 辽宁省盘锦市气象局盘锦 124010 
郭益嘉 中国气象局沈阳大气环境研究所沈阳 110166 
王改利 中国气象科学研究院灾害天气科学与技术全国重点实验室北京 100081 
孙丽 中国气象局沈阳大气环境研究所沈阳 110166 
Author NameAffiliation
PING Fan Heavy Rainfall Research Center of China, Wuhan 430000 State Key Laboratory of Severe Weather Meteorological Science and Technology, Chinese Academy of Meteorological Sciences, Beijing 100081 School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225 Shenyang Instiute of Atmospheric Environment, CMA, Shenyang 110166 Panjin Meteorological Office of Liaoning Province, Panjin 124010 
YANG Lei Heavy Rainfall Research Center of China, Wuhan 430000 State Key Laboratory of Severe Weather Meteorological Science and Technology, Chinese Academy of Meteorological Sciences, Beijing 100081 Shenyang Instiute of Atmospheric Environment, CMA, Shenyang 110166 Liaoning Meteorological Disaster Monitoring and Early Warning Centre, Shenyang 110166 
YUAN Liang School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225 
CAO Shiteng Heavy Rainfall Research Center of China, Wuhan 430000 State Key Laboratory of Severe Weather Meteorological Science and Technology, Chinese Academy of Meteorological Sciences, Beijing 100081 Shenyang Instiute of Atmospheric Environment, CMA, Shenyang 110166 Liaoning Meteorological Disaster Monitoring and Early Warning Centre, Shenyang 110166 
YANG Xue Heavy Rainfall Research Center of China, Wuhan 430000 State Key Laboratory of Severe Weather Meteorological Science and Technology, Chinese Academy of Meteorological Sciences, Beijing 100081 Shenyang Instiute of Atmospheric Environment, CMA, Shenyang 110166 Liaoning Meteorological Disaster Monitoring and Early Warning Centre, Shenyang 110166 
YUAN Chao Shenyang Instiute of Atmospheric Environment, CMA, Shenyang 110166 Panjin Meteorological Office of Liaoning Province, Panjin 124010 
GUO Yijia Shenyang Instiute of Atmospheric Environment, CMA, Shenyang 110166 
WANG Gaili State Key Laboratory of Severe Weather Meteorological Science and Technology, Chinese Academy of Meteorological Sciences, Beijing 100081 
SUN Li Shenyang Instiute of Atmospheric Environment, CMA, Shenyang 110166 
引用文本:
平凡,杨磊,袁亮,曹世腾,杨雪,袁潮,郭益嘉,王改利,孙丽,2026.基于X波段相控阵雷达的辽宁抚顺短时暴雨过程中多涡旋观测特征研究[J].气象,52(1):56-69.
PING Fan,YANG Lei,YUAN Liang,CAO Shiteng,YANG Xue,YUAN Chao,GUO Yijia,WANG Gaili,SUN Li,2026.Observation Characteristics of Multi-Vortices During Short-Time Rainstorm in Fushun of Liaoning Province Based on X-Band Phased Array Radar[J].Meteor Mon,52(1):56-69.