The Application of LAPS to Hail Cloud Simulation

Xiang Yuchun; Yang Jun; Tang Renmao; Fu Danhong; Li Dejun; Peng Juxiang

Vol.23, NO.3, 2012

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 2012 > 23(3): 331-339

Xiang Yuchun, Yang Jun, Tang Renmao, et al. The application of LAPS to hail cloud simulation. J Appl Meteor Sci, 2012, 23(3): 331-339.

Citation:

Xiang Yuchun, Yang Jun, Tang Renmao, et al. The application of LAPS to hail cloud simulation. J Appl Meteor Sci, 2012, 23(3): 331-339.

Xiang Yuchun, Yang Jun, Tang Renmao, et al. The application of LAPS to hail cloud simulation. J Appl Meteor Sci, 2012, 23(3): 331-339.

Citation:

Xiang Yuchun, Yang Jun, Tang Renmao, et al. The application of LAPS to hail cloud simulation. J Appl Meteor Sci, 2012, 23(3): 331-339.

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The Application of LAPS to Hail Cloud Simulation

1.
Weather Modification of Hubei Province, Wuhan 430074
2.
Nanjing University of Information Science & Technology, Nanjing 210044
3.
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029
4.
Wuhan Institute of Heavy Rain, CMA, Wuhan 430074

Received Date: 2011-08-26
Rev Recd Date: 2016-02-04
Publish Date: 2012-06-30

Abstract

Abstract

Local Analysis and Prediction System (LAPS) introduced and localized by Wuhan Institute of Heavy Rain integrates a variety of observations in central China and provides rich information on high-resolution meso-scale analysis field. Several hail weather processes occurred in mountainous region of western Hubei on 27 and 28 July in 2008 are analyzed based on LAPS data. And the hailstorm cloud is simulated with the three-dimensional convective cloud model which is initiated with the output of LAPS and the sounding.The difference between dew point and air temperature of sounding data and LAPS data at 0800 BT 27 July 2008 shows the humidity is higher above the hail location. According to LAPS data from 0800 BT to 1600 BT at the hail location, the temperature profiles show that there is cold air inflow in the upper air, and the differences between dew point and air temperature demonstrate that the humidity increases near the ground and then decreases with the altitude, while increases again in the upper air. LAPS data show the stratification status and wind field over the hail point is more and more favorable for hail formation, reflecting more realistic information than the sounding data at 0800 BT.The simulation results initiated with LAPS data and sounding data at 0800 BT 27 July 2008 are very close, but on 28 July the simulated echo intensity, vertical airflow speed, max wind speed and the amount of hail by LAPS data of the hail location are greater than that by sounding data. The simulation results initiated with LAPS data at 1600 BT 27 July and 1600 BT 28 July in 2008 near the hail time are larger than that at 0800 BT and the simulated amount of accumulated hail by LAPS data at 1600 BT is closer to the observation. It can be concluded that the simulation initiated with LAPS data near the hail time can better reflect the occurrence and development of the hail cloud which occurs in the afternoon. The simulated results of cloud maintenance time, hail intensity and distribution, hail size are consistent with the observation, which can provide a reference for local hail forecast. Results show that the output of LAPS can provide higher temporal and spatial resolution data for the three-dimensional convective cloud model than the sounding observations.The three-dimensional convective cloud model initiated with LAPS data near the hail occurrence time performs well in reproducing characteristics of the occurrence and development of hail cloud. Moreover, it can capture certain details such as several increment processes which are in agreement with the radar observations. Therefore, the model may contribute to warning condition for hail suppression operation and seeding scheme.
- LAPS;
- cloud model;
- hail;
- initial field

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References(23)

Figures and Tables

Fig. 1 Combination of radar reflectivity at 1633 BT 27 July 2008 at Enshi Radar Station

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Fig. 2 Vertical section of Enshi radar reflectivity on 27 July 2008

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Fig. 3 Surface temperature before and after the occurrence of hail on 27 July and 28 July in 2008 by LAPS data

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图 4 LAPS输出的2008年7月27日16：00(a) 与17：00(b)700 hPa相对湿度产品

白色圆圈指示降雹区域

Fig. 4 The relative humidity products by LAPS data at 700 hPa at 1600 BT and 1700 BT on 27 July 2008

(white circles indicate hail area)

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Fig. 5 The temperature, dew point temperature and wind profile of sounding at 0800 BT (a) and LAPS data at 1600 BT (b) on 27 July 2008

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Fig. 6 The vertical section of simulated echo reflectivity at different times

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Fig. 7 The maximum of simulated updraft and downdraft

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Table 1 Temperature and the difference between dew point and temperature at different heights with soundings and LAPS data on 27 July 2008

高度/hPa	08:00探空资料		08:00 LAPS资料		16:00 LAPS资料
高度/hPa	温度/℃	温度露点差/℃	温度/℃	温度露点差/℃	温度/℃	温度露点差/℃
950	24	0	24.8	4.8	27.6	3.6
850	21	2	19.8	3.2	20.3	2.4
700	10	1	9.7	0.3	10.5	2.0
500	-5	5	-4.7	2.1	-4.1	5.1
400	-17	2	-14.8	2.4	-14.1	5.7
300	-29	5	-29.0	0.0	-28.3	2.4
250	-37	11	-38.0	0.1	-37.0	0.0
200	-48	11	-47.5	16.6	-48.7	0.0
150	-60	11	-60.1	14.3	-61.2	10.9
100	-73	11	-70.8	18.6	-70.1	16.5

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Table 2 The comparison of simulation results initiated by sounding data and LAPS data to observations in July 2008

要素	27日				28日
	探空 08:00	LAPS		观测	探空 08:00	LAPS		观测
	探空 08:00	08:00	16:00	观测	探空 08:00	08:00	16:00	观测
冰雹生命史/min	42	42	42	48	无	42	46	21
雷达回波顶高/km	17	16	17	14	4	16	16	16
最大雷达反射率因子/dBZ	>70	70	>70	70	30	>70	>70	70
最大上升气流/(m·s^-1)	29	33	65		12	44	75
最大下沉气流/(m·s^-1)	11	15	22		4	5	30
最大风速/(m·s^-1)	22	21	47		3.9	40	62
地面降雹	有	有	有	有	无	有	有	有
最大累积地面降雹量/mm	5.5	5	22	>20	0	5	50	>20

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References

[1]	许焕斌, 段英, 刘海月, 等.雹云物理与防雹的原理和设计.北京:气象出版社, 2006.
[2]	许焕斌, 段英.强对流云 (冰雹云) 中的水凝物的积累和云水的消耗.气象学报, 2002, 60(5): 575-583. doi: 10.11676/qxxb2002.068
[3]	孔凡铀. 冰雹云三维数值模拟研究. 北京: 中国科学院大气物理研究所, 1991: 9-10.
[4]	周玲, 陈宝君, 李子华, 等.冰雹云中累积区与冰雹的形成的数值模拟研究.大气科学, 2001, 25(4): 536-550. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK200104009.htm
[5]	洪延超, 肖辉, 李宏宇, 等.冰雹云中微物理过程研究.大气科学, 2002, 26(3): 421-432. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK200203012.htm
[6]	李淑日, 胡志晋, 王广河.CAMS三维对流云催化模式的改进及个例模拟.应用气象学报, 2003, 14(增刊):78-91. http://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFD2003&filename=YYQX2003S1009&v=MTEzMTExVDNxVHJXTTFGckNVUkwyZll1Wm1GeXJrVTc3UFBEVGFkckc0SHRLdnJvOUZiWVI4ZVgxTHV4WVM3RGg=
[7]	李江波, 王福霞, 买文明, 等.应用三维冰雹云模式制作河北省11地市冰雹预报.气象, 2005, 31(9): 48-51. doi: 10.7519/j.issn.1000-0526.2005.09.010
[8]	马林, 赵仕雄, 张国庆.高原东部地区一次雹云成雹过程的数值模拟.高原气象, 1994, 13(2):188-193. http://www.cnki.com.cn/Article/CJFDTOTAL-GYQX402.009.htm
[9]	孔凡铀.低层环境风场对积云模拟的作用.应用气象学报, 1992, 3(1):20-31. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=19920109&flag=1
[10]	Steven C A. The LAPS wind analysis. Wea Forecasting, 1995, 10: 342-352. doi: 10.1175/1520-0434(1995)010<0342:TLWA>2.0.CO;2
[11]	Steven C A, John A M, Daniel L B, et al. The local analysis and prediction system (LAPS): Analyses of clouds, precipitation, and temperature. Wea Forecasting, 1996, 11:273-287. doi: 10.1175/1520-0434(1996)011<0273:TLAAPS>2.0.CO;2
[12]	Daniel B. The effect of using digital satellite imagery in the LAPS moisture analysis. Wea Forecasting, 1999, 14:782-788. doi: 10.1175/1520-0434(1999)014<0782:TEOUDS>2.0.CO;2
[13]	李红莉, 张兵, 陈波.局地分析和预报系统 (LAPS) 及其应用.气象科技, 2008, 36(1): 20-24. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKJ200801005.htm
[14]	李红莉, 崔春光, 王志斌, 等.中尺度分析系统LAPS应用雷达资料的个例研究.高原气象, 2009, 28(6): 1443-1452. http://www.cnki.com.cn/Article/CJFDTOTAL-GYQX200906025.htm
[15]	刘瑞霞, 陈洪滨, 师春香, 等.多源观测数据在LAPS三维云量场分析中的应用.应用气象学报, 2011, 22(1): 123-128. doi: 10.11898/1001-7313.20110113
[16]	崔春光, 李红莉, 彭菊香, 等.LAPS资料在一次鄂东初夏暴雨分析中的应用.暴雨灾害, 2008, 27(4): 307-312. http://www.cnki.com.cn/Article/CJFDTOTAL-HBQX200804004.htm
[17]	向玉春, 杨军, 李红莉, 等.LAPS资料在人工影响天气中的应用初探.暴雨灾害, 2009, 28(3): 271-276. http://www.cnki.com.cn/Article/CJFDTOTAL-HBQX200903014.htm
[18]	郭学良, 黄美元, 洪延超, 等.三维冰雹分档强对流云数值模式研究Ⅰ模式建立及冰雹的循环增长机制.大气科学, 2001, 25(5): 707-725. http://cpfd.cnki.com.cn/Article/CPFDTOTAL-BLGC200312001188.htm
[19]	郭学良, 黄美元, 洪延超, 等.三维冰雹分档强对流云数值模式研究Ⅱ.冰雹粒子的分布特征.大气科学, 2001, 25(6): 856-864. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK200106015.htm
[20]	孙凌峰, 郭学良, 孙立潭, 等.武汉"6·22"空难下击暴流的三维数值模拟研究.大气科学, 2003, 27(6): 1078-1092. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK200306010.htm
[21]	付丹红, 郭学良, 肖稳安.北京一次大风和强降水天气过程形成机理的数值模拟.南京气象学院学报, 2003, 26(2): 190-200. http://www.cnki.com.cn/Article/CJFDTOTAL-NJQX200302005.htm
[22]	朱君鉴, 刁秀广, 黄秀韶.一次冰雹风暴的CINRAD/SA产品分析.应用气象学报, 2004, 15(5): 579-589. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20040571&flag=1
[23]	王令, 郑国光, 康玉霞, 等.多普勒天气雷达径向速度图上的雹云特征.应用气象学报, 2006, 17(3): 281-287. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20060349&flag=1