钱维宏^1,2,3,,
艾阳¹,
陈笑晨⁴
1. 北京大学大气与海洋科学系, 北京 100871
2. 中国气象局广州热带海洋气象研究所/广东省区域数值天气预报重点实验室, 广州 510641
3. 厦门市海峡气象开放重点实验室, 厦门 361013
4. 福建省气候中心, 福州 350001

基金项目: 国家自然科学基金项目（41775067，U1811464）和中国气象局/广东省区域数值天气预报重点实验室开放基金（J202001）资助


详细信息

作者简介: 钱维宏, 教授, 主要从事极端天气和异常气候研究.E-mail: qianwh@pku.edu.cn

中图分类号: P461, P456

收稿日期:2020-08-13
修回日期:2021-01-06
上线日期:2021-05-10

Anomalous synoptic environments of a strong convective process with tornado in Kaiyuan City, Liaoning Province

QIAN WeiHong^1,2,3,,
AI Yang¹,
CHEN XiaoChen⁴
1. Department of Atmospheric and Oceanic Sciences, Peking University, Beijing 100871, China
2. Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, Guangzhou 510641, China
3. Xiamen Key Laboratory of Straits Meteorology, Xiamen 361013, China
4. Fujian Climate Center, Fuzhou 350001, China


MSC: P461, P456

--> Received Date: 13 August 2020
Revised Date: 06 January 2021
Available Online: 10 May 2021


摘要
摘要:2019年7月3日下午辽宁部分地区出现短时强降水和冰雹等强对流天气，其中开原市金钩子镇遭遇了龙卷风，造成当地严重的生命财产损失.本文重点分析有利于这次龙卷和冰雹等强对流过程发生的大气变量扰动环境，包括数值模式预报产品中的扰动天气环境以及雷达回波和卫星云图演变对应的大气扰动风场变化特征.结果发现：开原单个龙卷与苏北多次单个龙卷发生的大气温压场扰动环境相似，发生地位于对流层上部下伸到地面的位势高度扰动槽线和近地面水平方向上冷暖温度扰动气团交界线附近，其冷暖扰动气团之间的强度对比较美国多龙卷爆发时的弱小.利用来自欧洲中期天气预报中心（ECMWF）模式产品和美国国家环境预报中心全球预报系统（NCEP/GFS）的实时分析资料进行扰动环流形势分析并与当地实况卫星云图和雷达回波相结合，可以从潜在趋势上定性地推断有利于强对流天气发展的位置.
关键词: 龙卷风/
强对流天气/
扰动变量/
模式产品/
卫星云图/
雷达回波

Abstract:On 3 July 2019, a severe convective weather process with heavy rainfall, hail and tornado happened on some areas in Liaoning Province. The tornado occurred in the Jingouzi Town, Kaiyuan City and caused the loss of life and property. This paper reveals the strong convective weather process including hails and a single tornado associated with some anomalous environments by using model forecast products, reanalysis atmospheric variables, satellite image and radar echoes. The results showed that the strong convective weather with a single tornado was located in a place of downward trough axis of geopotential height anomalies and a boundary line between cold-warm air masses of temperature anomalies near the surface. The spatial structure is similar to those tornadoes happened in northern Jiangsu but weaker than their counterparts in America. By using the ECMWF model products and the US NCEP/GFS real-time analyzed wind and combining with the local satellite image and radar echoes, the potential intensity and location of this strong convective weather can be predicted in advance.
Key words:Tornado/
Strong convective weather/
Anomalous variable/
Numerical model product/
Satellite image/
Radar echo



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