ANALYSIS OF EVOLUTION OF PARENT STORMS AND ITS IMPACT ON GENESIS OF"0612"GAOYOU TORNADO
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摘要: 利用多普勒天气雷达和探空站等高分辨率多源观测资料,分析了多尺度母体风暴演变特征及其相互作用对2020年6月12日形成于江苏高邮地区的一次龙卷天气过程的影响。此次龙卷过程形成于有利的大尺度环境,龙卷母体风暴由中β尺度的飑线和中γ尺度的超级单体两个不同尺度的对流系统组成。中γ尺度超级单体形成于中β尺度飑线的前侧,形成之后一直维持缓慢增强的趋势。在中β尺度飑线发展成熟并形成显著的弓状回波之后,超级单体的中气旋开始迅速增强。单雷达和多雷达风场反演结果表明,与中β尺度飑线相关的中尺度切变线和对流尺度切变区增强了中γ尺度超级单体附近的垂直涡度,促使中γ尺度超级单体快速增强。快速增强的超级单体最终导致本次龙卷过程的发生。Abstract: In this paper, the evolution of parent storms and its impact on the genesis of a tornado that occurred in Gaoyou, Jiangsu Province on June 12, 2020 were analyzed using data from high-resolution radar and sounding observations. The tornado formed in a favorable large-scale environment as the result of interactions between a meso-β squall line and a meso-γ supercell. The meso-γ supercell formed in front of the meso-β squall line and slowly intensified after its formation. As the meso-β squall line entered its mature stage with the formation of a well-organized bow echo, the mesocyclone associated with the meso- γ supercell began to rapidly intensify. The analysis of wind fields indicated that the meso-scale shear line and the horizontal shear associated with the meso-β scale squall line enhanced the vertical vorticity near the meso - γ scale supercell, which promoted the intensification of the meso - γ scale supercell. The intensified supercell finally led to the occurrence of this tornado.
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Key words:
- tornado vortex /
- squall line /
- bow echo /
- supercell /
- horizontal wind shear
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表 1 本文所使用四部天气雷达相关信息
雷达名 经度/°E 纬度/°N 波长 距离分辨率/m 探测范围/km 反射率因子 径向速度 反射率因子 径向速度 南京 118.698 32.191 S 1 000 250 460 230 泰州 119.994 32.557 S 1 000 250 460 230 淮安 119.02 33.62 S 1 000 250 460 230 金湖 119.106 32.979 X 60 60 75 75 -
[1] 程亮, 元慧, 高耀庭. 中美两国龙卷灾害对比简析[J]. 生命与灾害, 2020(5): 40-42. [2] 郑永光, 朱文剑, 姚聃, 等. 风速等级标准与2016年6月23日阜宁龙卷强度估计[J]. 气象, 2016, 42(11): 1 289-1 303. [3] BROOKS H E, LEE J W, CRAVEN J P. The spatial distribution of severe thunderstorm and tornado environments from global reanalysis data[J]. Atmos Res, 2003, 67-68: 73-94. [4] PALMER R D, BODINE D, KUMJIAN M, et al. Observations of the 10 May 2010 Tornado Outbreak Using OU-PRIME: Potential for New Science with High-Resolution Polarimetric Radar[J]. Bull Amer Meteor Soc, 2011, 92(7): 871-891. [5] WEISMAN M L, KLEMP J B. The dependence of numerically simulated convective storms on vertical wind shear and buoyancy[J]. Mon Wea Rev, 1982, 110(6): 504-520. [6] 刁秀广, 万明波, 高留喜, 等. 非超级单体龙卷风暴多普勒天气雷达产品特征及预警[J]. 气象, 2014, 40(6): 668-677. [7] 俞小鼎, 郑媛媛, 廖玉芳, 等. 一次伴随强烈龙卷的强降水超级单体风暴研究[J]. 大气科学, 2008, 32(3): 508-522. [8] 周后福, 刁秀广, 夏文梅, 等. 江淮地区龙卷超级单体风暴及其环境参数特征[J]. 气象学报, 2014, 72(2): 306-317. [9] 郑媛媛, 张备, 王啸华, 等. 台风龙卷的环境背景和雷达回波结构分析[J]. 气象, 2015, 41(8): 942-952. [10] 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(2): 425-441. [11] 李彩玲, 吴乃庚, 王硕甫, 等. 台风"艾云尼"(2018)外围两次近距离龙卷的环境条件和雷达特征[J]. 热带气象学报, 2019, 35(4): 446-457. [12] BURGESS D W. Single-Doppler radar vortex recognition. Part I: Mescyclone signatures[C]//17th Conf Radar Meteorol Seattle, WA: Amer Meteor, 1976: 97-103. [13] DONALDSON R J. Vortex signature recognition by a Doppler radar[J]. J Appl Meteorol, 1970, 9(4): 661-670. [14] CRUM T D, ALBERTY R L. The WSR-88D and the WSR-88D operational support facility[J]. Bull Amer Meteor Soc, 1993, 74(9): 1 669-1 687. [15] GOLDEN J H, PURCELL D. Life cycle of the Union City, Oklahoma tornado and comparison with waterspouts[J]. Mon Wea Rev, 1978, 106(1): 3-11. [16] BLUESTEIN H. The formation of a "landspout" in a "broken-line" squall line in Oklahoma[J]. Conf on Severe Local Storms, Indianapolis, American Meteorological Society, 1985, 14: 267-270. [17] STUMPF G J, WITT A, MITCHELL E D, et al. The national severe storms laboratory mesocyclone detection algorithm for the WSR-88D* [J]. Wea Forecasting, 1998, 13(2): 304-326. [18] BROWN R A, LEMON L R, BURGESS D W. Tornado detection by pulsed Doppler radar[J]. Mon Wea Rev, 1978, 106(1): 29-38. [19] 周后福, 施丹平, 刁秀广, 等. 2013年7月7日苏皖龙卷环境场与雷达特征分析[J]. 干旱气象, 2014, 32(3): 415-423. [20] 吴彩霞, 王坤, 汤建国, 等. 江淮地区一次农业致灾龙卷天气成因分析[J]. 安徽农业科学, 2020, 32(3): 415-423. [21] 黄先香, 俞小鼎, 炎利军, 等. 1804号台风"艾云尼"龙卷分析[J]. 气象学报, 2019, 77(4): 645-661. [22] 黄先香, 炎利军, 王硕甫, 等. 1822号"山竹"台风龙卷过程观测与预警分析[J]. 热带气象学报, 2019, 35(4): 458-469. [23] RYZHKOV A V, SCHUUR T J, BURGESS D W, et al. Polarimetric tornado detection[J]. J Appl Meteorol, 2005, 44(5): 557-570. [24] ZRNIC D S, KIMPEL J F, FORSYTH D E, et al. Agile-beam phased array radar for weather observations[J]. Bull Amer Meteor Soc, 2007, 88(11): 1 753-1 766. [25] WAKIMOTO R M, WILSON J W. Non-supercell Tornadoes[J]. Mon Wea Rev, 1989, 117(6): 1 113-1 140. [26] TRAPP R J, DAVIES-JONES R. Tornadogenesis with and without a Dynamic Pipe Effect[J]. J Atmos Sci, 1997, 54(1): 113-133. [27] 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. [28] 袁潮, 王式功, 马湘宜, 等. 2019年7月3日开原龙卷形成环境背景及机理研究[J]. 高原气象, 2020, 40(2): 384-393. [29] 王秀明, 俞小鼎. 热带一次致灾龙卷形成物理过程研究[J]. 气象学报, 2019, 77(3): 387-404. [30] 刘俊, 周红根, 刘新安, 等. 江苏北部龙卷雷达组网探测策略[J]. 气象科技, 2021, 49(2): 157-165. [31] BARGEN D W, BROWN R C. Interactive Radar Velocity Unfolding[C]// 19th Conference on Radar Meteorology, 1980: 278-285. [32] LEE WC, TANG X, JOU B J D. Distance velocity-azimuth display (DVAD)—New interpretation and analysis of Doppler velocity[J]. Mon Wea Rev, 2014, 142(2): 573-589. [33] BROWNING K A, WEXLER R. The determination of kinematic properties of a wind field using Doppler radar[J]. J Appl Meteorol, 1968, 7 (1): 105-113. [34] TANG X, LEE W C, WANG Y. Nonlinear wind analysis of single-Doppler radar observations within a DVAD framework[J]. J Appl Meteorol Climatol, 2015, 54(7): 1 538-1 555. [35] GAMACHE J F. Evaluation of a fully-three dimensional variational Doppler analysis technique[C]//Preprint, 28th Conf. on Radar Meteor Amer Metero Soc, 1997: 422-423. [36] NAVON I M, LEGLER D. Conjugate-gradient methods for large-scale minimization in meteorology[J]. Mon Wea Rev, 1987, 115(8): 1 479- 1 502. [37] GAO J D, XUE M, SHAPIRO A, et al. A variational method for the analysis of three-dimensional wind fields from two Doppler radars[J]. Mon Wea Rev, 1999, 127(9): 2 128-2 142. [38] RICHARD J. D, PETER S. R, RICHARD G. S, et al. Error estimation in wind fields derived from dual-Doppler radar measurement[J]. J ApplMeteor, 1976, 15(8): 868-878. [39] 曾明剑, 吴海英, 王晓峰, 等. 梅雨期龙卷环境条件与典型龙卷对流风暴结构特征分析[J]. 气象, 2016, 42(3): 280-293. [40] MARKOWSKI P, RICHARDSON Y. Mesoscale Meteorology in Midlatitudes[M]. Chichester, West Sussex, UK: Wiley-Blackwell Publication, 2010: 48-50. [41] WEISMAN M L. Bow echoes: A tribute to T T Fujita[J]. Bull Amer Meteor Soc, 2001, 82(1): 97-116. [42] DAVIS C, ATKINS N, BARTELS D, et al. The bow echo and MCV experiment: observations and opportunities[J]. Bull Amer Meteor Soc, 2004, 85(8): 1 075-1 093. [43] TRAPP R J, MITCHELL E D, TIPTON G A, et al. Descending and Nondescending Tornadic Vortex Signatures Detected by WSR-88Ds[J]. Wea Forecasting, 1999, 14(5): 625-639. [44] SCHENKMAN A D, XUE M. Bow-echo mesovortices: A review[J]. Atmos Res, 2016, 170(1): 1-13. [45] MARKOWSKI P M, RICHARDSON Y P. The influence of environmental low-level shear and cold pools on tornadogenesis: insights from idealized simulations[J]. J Atmos Sci, 2014, 71(1): 243-275. [46] WEISMAN M L. The genesis of severe, long-lived bow echoes[J]. J Atmos Sci, 1993, 50(4): 645-670. -
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