辽宁开原强龙卷的卫星云图和雷达回波演变特征分析

doi:10.3969/j.issn.1673-503X.2022.03.002

Abstract

Abstract:

Based on Himawari-8 satellite data, SC weather radar data in Shenyang, ERA5 reanalysis data, and weather observations, the features of the satellite image, radar echo, and atmospheric circulation of the strong tornado in Kaiyuan of Liaoning province on July 3, 2019 were analyzed.The results show that this strong tornado occurs at the bottom of the northeastern cold vortex.At 850 hPa, the lower layer has warm and humid airflow, forming a vertical structure with wet bottom and dry top.At 17:00, there is a vertical wind shear of 22.8 m·s^-1 at 0—6 km and of 7.6 m·s^-1 at 0—1 km where the tornado is born.Before the tornado appears, the temperature on the western side of the birthplace is higher than that on the eastern side.There is a ground temperature difference of 2—5 ℃.When the tornado is generated, an obvious cold pool is formed on the eastern side of the tornado's moving path.The lowest temperature is 19 ℃, and the maximum temperature difference on the western side is 11 ℃.When the tornado is generated, the horizontal scale of the cloud anvil of the convective storm on the visible light cloud chart increases significantly.The cloud top rises and the brightness temperature decreases.The evolution characteristics of radar reflectivity show that the development of tornado convective storms has experienced three stages, i.e., from multi-cell non-strong storms to multi-cell strong storms and then to supercell storms.Convective cells merge when the tornado reaches the strongest level.This tornado storm has a mesocyclone in all three stages.At 17:11, the mesocyclone extends down to the lower level, and the reflectivity factor appears as a finger echo.

Key words: Cold Pool, Super Cell, Merger, Mesocyclone

CLC Number:

P458.2

Xu-xuan JIA, De-qin LI, Cheng-cheng FENG, Li-peng ZHANG. Analysis of the satellite image and radar echo features of the strong tornado in Kaiyuan of Liaoning province[J]. Journal of Meteorology and Environment, 2022, 38(3): 11-18.

Figures/Tables 10

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

Fig.7

Fig.8

Fig.9

Fig.10

References 31

1	Fujita T T. Proposed mechanism of suction spots accompanied by tornadoes[C]// American Meteorological Society. Preprints, 7th Conference on Severe Local Storms. Kansas City, MO, USA: American Meteorological Society, 1971: 208-213.
2	McDonald J R.T . Theodore Fujita: His contribution to tornado knowledge through damage documentation and the Fujita scale[J]. Bulletin of the American Meteorological Society, 2001, 82 (1): 63- 72. doi: 10.1175/1520-0477(2001)000<0063:TTFHCT>2.3.CO;2
3	Straka J M , Rasmussen E N , Fredrickson S E . A mobile mesonet for finescale meteorological observations[J]. Journal of Atmospheric and Oceanic Technology, 1996, 13 (5): 921- 936. doi: 10.1175/1520-0426(1996)013<0921:AMMFFM>2.0.CO;2
4	范雯杰, 俞小鼎. 中国龙卷的时空分布特征[J]. 气象, 2015, 41 (7): 793- 805.
5	王霁吟. 中国龙卷特征及其潜势预报之初探[D]. 南京: 南京大学, 2014: 11-14.
6	王秀明, 俞小鼎, 周小刚. 中国东北龙卷研究: 环境特征分析[J]. 气象学报, 2015, 73 (3): 425- 441.
7	朱红蕊, 张洪玲, 孙爽, 等. 1956—2011年黑龙江省龙卷风气候特征[J]. 气象与环境学报, 2015, 31 (3): 98- 103.
8	俞小鼎, 郑媛媛, 张爱民, 等. 安徽一次强烈龙卷的多普勒天气雷达分析[J]. 高原气象, 2006, 25 (5): 914- 924. doi: 10.3321/j.issn:1000-0534.2006.05.020
9	张晰莹, 吴迎旭, 张礼宝. 利用卫星、雷达资料分析龙卷发生的环境条件[J]. 气象, 2013, 39 (6): 728- 737.
10	王婷婷, 王宁, 姚瑶, 等. 东北冷涡背景下两类龙卷形成机制的对比分析[J]. 气象与环境学报, 2017, 33 (6): 9- 15. doi: 10.3969/j.issn.1673-503X.2017.06.002
11	吴迎旭, 周一, 刘松涛, 等. 一次引发黑龙江省大风与强降水的β中尺度系统物理机制与特征分析[J]. 气象与环境学报, 2016, 32 (3): 1- 9. doi: 10.3969/j.issn.1673-503X.2016.03.001
12	植江玲. "艾云尼"台风龙卷天气过程分析[J]. 气象与环境学报, 2020, 36 (2): 20- 27. doi: 10.3969/j.issn.1673-503X.2020.02.003
13	孙继松, 陶祖钰. 强对流天气分析与预报中的若干基本问题[J]. 气象, 2012, 38 (2): 164- 173.
14	张小玲, 杨波, 朱文剑, 等. 2016年6月23日江苏阜宁EF4级龙卷天气分析[J]. 气象, 2016, 42 (11): 1304- 1314. doi: 10.7519/j.issn.1000-0526.2016.11.002
15	Schumacher R S , Lindsey D T , Schumacher A B , at al . Multidisciplinary analysis of an unusual tornado: Meteorology, climatology, and the communication and interpretation of warnings[J]. Weather and Forecasting, 2010, 25 (5): 1412- 1429. doi: 10.1175/2010WAF2222396.1
16	Arsen S A . Mathematical modeling of tornadoes and squall storms[J]. Geoscience Frontiers, 2011, 2 (2): 215- 221. doi: 10.1016/j.gsf.2011.03.007
17	Doswell C A , Carbin G W , Brooks H E . The tornadoes of spring 2011 in the USA: an historical perspective[J]. Weather, 2012, 67 (4): 88- 94. doi: 10.1002/wea.1902
18	张涛, 关良, 郑永光, 等. 2019年7月3日辽宁开原龙卷灾害现场调查及其所揭示的龙卷演变过程[J]. 气象, 2020, 46 (5): 603- 617.
19	郑永光, 蓝渝, 曹艳察, 等. 2019年7月3日辽宁开原EF4级强龙卷形成条件、演变特征和机理[J]. 气象, 2020, 46 (5): 589- 602.
20	Bluestein H B , Weiss C C , French M M , et al. The structure of tornadoes near Attica, Kansas, on 12 May 2004:high-resolution, mobile, Doppler radar observations[J]. Monthly Weather Review, 2007, 135 (2): 475- 506. doi: 10.1175/MWR3295.1
21	Markowski P M , Richardson Y P . The influence of environmental low-level shear and cold pools on tornadogenesis: insights from idealized simulations[J]. Journal of the Atmospheric Sciences, 2014, 71 (1): 243- 275. doi: 10.1175/JAS-D-13-0159.1
22	姚聃. 龙卷数值模拟研究进展[J]. 气象科技进展, 2018, 8 (2): 28- 35.
23	Thompson R L, Edwards R, Hart J A. An assessment of supercell and tornado forecast parameters with RUC-2 model close proximity soundings[C]//American Meteorological Society. Preprints, 21st Conference On Severe Local Storm. San Antonio, TX, USA: American Meteorological Society, 2002: 595-598.
24	徐小红, 余兴, 朱延年, 等. 6.23龙卷FY-2G卫星云微物理特征分析[J]. 高原气象, 2018, 37 (6): 1737- 1748.
25	俞小鼎, 姚秀萍, 熊廷南, 等. 多普勒天气雷达原理与业务应用[M]. 北京: 气象出版社, 2007: 90- 129.
26	徐璐璐, 李倩, 李慧琳, 等. 2018年9月丹东连续两次风雹天气的多尺度对比分析[J]. 气象与环境学报, 2019, 35 (6): 1- 7.
27	Lee B D , Jeweet B F , Wilhelmson R B . The 19 April 1996 Illinois tornado outbreak.Part Ⅰ: cell evolution and supercell isolation[J]. Weather and Forecasting, 2006, 21 (4): 433- 448. doi: 10.1175/WAF944.1
28	朱君鉴, 王令, 黄秀韶, 等. CINRAD/SA中气旋产品与强对流天气[J]. 气象, 2005, 31 (2): 38- 42.
29	方翀, 郑媛媛. 新一代天气雷达中气旋产品特征值统计和个例分析[J]. 气象, 2007, 33 (11): 16- 20.
30	陈传雷, 吴晓峰, 孙晓巍, 等. 辽宁省强对流性天气的气候特征分析[J]. 气象与环境学报, 2010, 26 (3): 27- 33.
31	张培昌, 朱君鉴, 魏鸣, 等. 龙卷形成原理与天气雷达探测[M]. 北京: 气象出版社, 2019: 30- 50.

[1]	Shi-bo GENG,Kui-zhi CAI,Ying WANG,Fu-ran ZHOU,Guang-liang XIAO,Hai-liang HUANG,Xiao-ling CHAI. Observational analysis of EF4 tornadic supercell storm in Kaiyuan of Liaoning province on July 3, 2019 [J]. Journal of Meteorology and Environment, 2022, 38(3): 1-10.
[2]	Yan-jie LIU,Qing-chuan WANG,Min XU,He-ling ZHOU. Characteristics and causes of a high precipitation supercell in Beijing in May of 2019 [J]. Journal of Meteorology and Environment, 2021, 37(4): 9-17.
[3]	Li-man CUI, Ai-fang SU, Yu-xing ZHANG, Chun-xiao WANG, Di WANG. Causes analysis of the formation of an extensive severe convective weather in 2016 in He'nan province [J]. Journal of Meteorology and Environment, 2020, 36(2): 9-19.
[4]	SHAN Nai-chao, ZHOU Hou-fu, CHU Bao-liang, ZHAO Qian. Mechanism analysis of thunderstorm gale in Hefei area on May 14,2017 [J]. Journal of Meteorology and Environment, 2019, 35(5): 1-9.
[5]	LI Da-wei,LIANG Hong,JIA Dong-chan,XIA Chuan-dong,ZHAO Liu-yang,MENG Peng. Doppler weather radar echo characteristics in a short-term heavy rain on July 14, 2011 in Shenyang [J]. Journal of Meteorology and Environment, 2013, 29(2): 75-80.
[6]	YAN Fang,CHEN Jing,BIAN Tao,LIAO Ying-hui,ZHANG Cui-hua. Analysis of physical parameter field and echo characteristics of Doppler radar in a thunderstorm process [J]. Journal of Meteorology and Environment, 2013, 29(1): 33-39.
[7]	ZHAO Jun-rong. Analysis of meso-micro scale system in a?rare heavy rain on the?northern slope of Tianshan Mountain [J]. Journal of Meteorology and Environment, 2012, 28(6): 19-24.

Analysis of the satellite image and radar echo features of the strong tornado in Kaiyuan of Liaoning province

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 10

References 31

Related Articles 7

Metrics

Comments

Recommended 10