Characteristics and Conceptual Models of Convective Rainstorm Clouds in Henan Province

Su Aifang; Sun Jinglan; Gu Xiujie; Lü Xiaona; Chen Weimin

Vol.24, NO.2, 2013

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Su Aifang, Sun Jinglan, Gu Xiujie, et al. Characteristics and conceptual models of convective rainstorm clouds in Henan Province. J Appl Meteor Sci, 2013, 24(2): 219-229.

Citation:

Su Aifang, Sun Jinglan, Gu Xiujie, et al. Characteristics and conceptual models of convective rainstorm clouds in Henan Province. J Appl Meteor Sci, 2013, 24(2): 219-229.

Su Aifang, Sun Jinglan, Gu Xiujie, et al. Characteristics and conceptual models of convective rainstorm clouds in Henan Province. J Appl Meteor Sci, 2013, 24(2): 219-229.

Citation:

Su Aifang, Sun Jinglan, Gu Xiujie, et al. Characteristics and conceptual models of convective rainstorm clouds in Henan Province. J Appl Meteor Sci, 2013, 24(2): 219-229.

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Characteristics and Conceptual Models of Convective Rainstorm Clouds in Henan Province

Su Aifang^{1,2
,
,},
Sun Jinglan³,
Gu Xiujie^1,2,
Lü Xiaona^1,2,
Chen Weimin⁴

1.
Henan Provincial Meteorological Observatory, Zhengzhou 450003
2.
Key Laboratory of Agrometeorological Ensuring and Applied Technique of CMA, Zhengzhou 450003
3.
Henan Proveincial Meteorological Service, Zhengzhou 450003
4.
Institute of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044

Received Date: 2012-06-06
Rev Recd Date: 2012-12-28
Publish Date: 2013-04-30

Abstract

Abstract

Study on severe weather's conceptual models is important for improving forecasting and early warning capabilities of severe weather. Using FY-2C/E and MODIS satellite data, A0 data, precipitation data of automatic weather stations and conventional observations, meso-scale convective systems criteria of convective rainstorm is revised, and their activity rhythm, as well as rainfall characteristics, are analyzed during convective rainstorm processes. In addition, convective rain storm conceptual models in Henan Province are studied based on analysis of cloud systems and synoptic situations. MCSs of convective rainstorm in Henan Province include newborn convective cloud clusters, MαCS, MβCS and banded MCSs. MCSs with different shape and scale have different characteristics of precipitation. Newborn convective clusters are easy to produce 20—29.9 mm·h^-1 rain intensity. The probability of exceeding 30.0—49.9 mm·h^-1 rain intensity brought by MβCS is obviously greater. The rain intensity exceeding 30.0 mm·h^-1 is most likely caused by MαCS, but banded convective systems have higher probability of exceeding 50.0 mm·h^-1 rain intensity than MαCS. However, each type of MCS can form strong intensity of rainfall over 80 mm·h^-1 and the strongest intensity of rainfall is made by MβCS. The spatial and temporal variations and morphological characteristics of MCSs can give important information for forecasting thunder-rainstorm, and thunder-rainstorm is easy to occur during the formation and development of MCSs, and in the regions with big gradient of TBB in the back and the center of MCSs. Regions with high cloud optical thickness are potential areas of thunder-rainstorm. Dry and cold air masses in the processes of trough (vortex)-shear and trough's style play an important triggering role of MCSs. In the processes of high pressure's rear, MCSs are closely related to increasing temperature by radiation in boundary layer. Furthermore, energy front and convergence lines in boundary are the trigging systems. Dry lines in the shear line's processes are very important. Formation and development information of MCSs may be dependent on optical thickness. What's more, in the processes of high pressure's rear, the north of dark area on vapor images is easy to bring about MCSs. There are five potential regions of convective rainstorm in Henan Province, and four regions of them are near mountains. The routes of MCSs include eastward, northeastward and southeastward paths. Cloud track wind on high level can provide forecasting information of MCSs.
- MCS;
- TBB of cloud top;
- cloud optical thickness;
- conceptual models of thunder-rainstorm

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References(17)

Figures and Tables

Fig. 1 Distribution of 119 meteorological ground stations in Henan Province

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图 2 2005年6月25日对流性暴雨过程中的天气系统和云系特征

(a)25日20:00天气系统和FY-2C红外云图，(b)25日14:00 FY-2C红外云图和雨强 (单位：mm·h^-1)，(c)25日18:00 FY-2C红外云图和雨强 (单位：mm·h^-1)，(d)26日02:00 FY-2C红外云图和雨强 (单位：mm·h^-1)，(e)25日13:20 MODIS水汽产品图像，(f)25日11:45 MODIS云光学厚度产品

Fig. 2 Weather system and cloud features during the thunder-rainstorm process on 25 June 2005

(a) weather system and FY-2C IR image at 2000 BT 25 June 2005, (b) FY-2C IR image and rain intensity (unit:mm·h^-1) at 1400 BT 25 June 2005, (c) FY-2C IR images and rain intensity (unit: mm·h^-1), (d) FY-2C IR image and rain intensity (unit: mm·h^-1) at 0200 BT 26 June 2005, (e) water vapor product of MODIS at 1320 BT 25 June 2005, (f) cloud optical thickness product of MODIS at 1145 BT 25 June 2005

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图 3 2006年7月31日对流性暴雨过程中的天气系统、FY-2C红外云图及MODIS云光学厚度

(a) 天气系统和红外云图, (b) 红外云图与雨强 (单位：mm·h^-1)，(c) MODIS云光学厚度产品 (白实线包围区为MCS发展潜势区)

Fig. 3 Weather system, IR image of FY-2C and cloud optical thickness product of MODIS during the convective-rainstorm process on 31 July 2006

(a) weather system and IR image, (b) IR image and rain intensity (unit:mm·h^-1), (c) cloud optical thickness product of MODIS (area surrounded by white circle represents potential region of developing MCS)

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图 4 2007年8月25日对流性暴雨过程中的天气系统、FY-2C红外云图和MODIS水汽产品图像

(a) 天气系统和红外云图 (云图为15:00；红实线为对流有效位能，单位：J/kg)，(b) MODIS水汽产品图像 (白实线包围区为MCS发展潜势区)

Fig. 4 Weather systems, FY-2C IR image and water vapor product of MODIS during the convective rainstorm process on 25 August 2007

(a) weather system and IR image (IR image at 1500 BT; red contours are CAPE, unit: J/kg), (b) water vapor product of MODIS (area surrounded by white circle represents potential region of developing MCS)

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图 5 2006年7月4日对流性暴雨过程中天气系统、红外云图及云光学厚度

(a) 天气系统和红外云图 (云图为14:00；虚线包围区K指数不低于32℃)，(b) MODIS云光学厚度产品

Fig. 5 Weather system, IR image and cloud optical thickness during the convective-rainstorm process on 4 July 2006 (a) weather system and IR image (IR image at 1400 BT; area surrounded by dotted line: K≥32℃), (b) cloud optical thickness of MODIS

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图 6 河南省典型对流性暴雨概念模型

(a) 低槽 (涡) 切变型 (地面冷暖峰型)，(b) 低槽型，(c) 高压后部型，(d) 切变型

Fig. 6 The typical conceptual model of the convective rainstorm in Henan Province

(a) trough (vortex)-shear (cold and warm front on ground), (b) trough, (c) high pressure's rear, (d) shear line

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图 7 对流性暴雨MCS发生发展的典型FY-2C高层云导风环境场和红外云图

(黑线: TBB不大于220 K；蓝、紫色箭矢分别示意MCS移动方向和高层云导风显著气流方向) (a) 气流分流区，(b) 西南风辐散区，(c) 反气旋环流顶部

Fig. 7 Typical high-level cloud track wind field and IR image of FY-2C for developing MCS during convective rainstorm process

(black contours represent TBB no more than 220 K; blue and purple arrows indicate moving direction of MCSs and significant airflow direction of high-level cloud track wind, respectively) (a) airflow diversion area, (b) southwest wind divergence area, (c) anticyclonic circulation at the top

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图 8 河南省对流性暴雨MCS发展区域及移动路径示意图

(底图为地形图；暖色调代表山区；灰色阴影区为MCS形成区域；粗箭矢路径频率不小于30%；细箭矢：路径频率小于10%)

Fig. 8 Development regions and movement paths of MCS during convective rainstorms in Henan Province

(bottom picture shows the topography and warm colors on behalf of the mountains; development regions of MCS are gray shaded; path frequency no less than 30% and less than 10% are represented by thick and thin arrows)

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Table 1 Criteria for MCS of thunder-rainstorm in Henan Province

名称	尺度特征	冷云罩强度中心	发展趋势
新生对流云团	最大冷云罩长轴小于100 km	只有1个TBB低值中心，中心值大小不一，一般不超过-32℃	满足尺度特征的时间低于3 h，消亡或继续发展，或与其他MCS合并
MβCS	最大冷云罩短轴为100~200 km 之间，偏心率不小于0.5	1~2个TBB低值中心，中心值较低，不超过-52℃	满足尺度特征的时间1~3 h, 减弱、移出河南或继续发展、合并为MαCS
MαCS	最大冷云罩短轴大于200 km，偏心率不小于0.5	1个或1个以上TBB低值中心，中心值不超过-52℃	满足尺度特征的时间不低于 3 h，减弱或东移出河南省
带状MCS	不低于-40℃冷云罩呈带状分布，长轴不小于300 km，长短轴比不小于5:1	多个TBB低值中心，中心值一般不超过-52℃	满足尺度特征的时间约2~6 h，东或南移出河南省

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Table 2 Characteristics of typical MCS rainfall intensity

种类	短时强降水累计次数	不同雨强出现概率/%			极大雨强 /(mm·h^-1)
种类	短时强降水累计次数	20.0~29.9 mm·h^-1	30.0~49.9 mm·h^-1	≥50.0 mm·h^-1	极大雨强 /(mm·h^-1)
新生对流云团	105	60	30	10	83.0
MβCS	127	52	37	11	92.0
MαCS	175	35	50	15	82.0
带状MCS	68	41	43	16	76.0

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