QIAN Xinming,ZHOU Yunjun,ZHAO Pengguo,et al.Numerical Simulation Study of Thunderstorms in Sichuan based on WRF Model[J].Journal of Chengdu University of Information Technology,2019,(05):532-542.[doi:10.16836/j.cnki.jcuit.2019.05.015]
一次四川盆地雷暴天气的数值模拟分析
- Title:
- Numerical Simulation Study of Thunderstorms in Sichuan based on WRF Model
- 文章编号:
- 2096-1618(2019)05-0532-11
- Keywords:
- WRF model; thunderstorm; hydrometeors; microphysics; lightning activity
- 分类号:
- P427.32
- 文献标志码:
- A
- 摘要:
- 为更好地利用WRF中尺度模式进行雷电活动数值预报,在WRF模式Morrison双参数微物理方案中引入起电放电参数化方案,基于此模式对2010年8月18日发生在四川地区的强雷暴天气过程进行模拟。模式输出的闪电空间分布与观测的闪电分布接近,结果表明:对流有效位能值与风暴相对螺旋度、位涡可以指示地闪频数随时间变化,且空间上均可指示地闪密度大值中心。电荷分离区域内,霰粒子质量混和比最大值与地闪频数随时间变化趋势基本保持一致。空间分布上,霰、冰晶及雪粒子最大值位置与地闪密度大值中心位置对应性较好,均能指示地闪发生区域,霰粒子、冰晶粒子和雪粒子的垂直分布达16 km以上。模拟研究表明针对该电耦合模式微物理及动力输出场分析可以有效预测地闪活动的发生时间和位置,具有一定的预警预报作用。
- Abstract:
- In order to use the WRF mesoscale model for numerical prediction of lightning activity,the processes of cloud electrification and lightning parameterization are introduced into the Morrison cloud-scale double-moment microphysical scheme in the WRF model. The strong thunderstorm weather process that occurred in Sichuan on August 18 of 2010 was simulated.The results show that the lightning distribution of the mode output is close to the observed lightning distribution. The CAPE value, Storm Relative Helicity, potential vorticity of the storm and the potential vortex can indicate that the ground flash frequency changes with time, and the center of the large flash density. In the charge separation region, the mixing ratio of hydrometeor and the frequency of stroboscopic flash are basically consistent with time. In the spatial distribution, the maximum position of graupel, ice and snow have a good correspondence with the center position of large flash density, which can indicate the area where observed CG flashes by ADTD occurs. The vertical distribution of graupelparticles, ice and snow is more than 16 km. The simulation results show that the mode microphysical and power output fields can indicate the occurrence time and location of the ground flash activity.
参考文献/References:
[1] 周春花,青泉,师锐.21世纪以来四川强对流天气特征分析[J].高原山地气象研究,2009,29(4):40-44.
[2] 周筠珺,孙凌,杨静,等.中国西南及其周边地区雷电活动的特征分析[J].高电压技术,2009,35(6):1309-1315.
[3] 刘冬霞,郄秀书,冯桂力.华北一次中尺度对流系统中的闪电活动特征及其与雷暴动力过程的关系研究[J].大气科学.2010(1):1006-9895.
[4] Wiens K C,Rutledge S A,Tessendorf S A.The 29 June 2000 supercell observed during STEPS.Part II:Lightning and charge structure[J].Atmos.Sci.,2005,62(12):4151-4177.
[5] 郑栋,张义军,孟青,等.一次雹暴的闪电特征和电荷结构演变研究[J].气象学报,2010,68(2):248-263.
[6] 冯桂力,郄秀书,袁铁,等.雹暴的闪电活动特征与降水结构研究[J].中国科学(D辑:地球科学),2007(1):1006-9267.
[7] Zepka G S,OP into Jr,SaraivaACV.Lightning Forecasting Using the HighResolution WRF Model,Proceeding of XIV International Conference on Atmospheric Elctricity[J].Rio de Janeiro,Brazil,2011:8-12.
[8] Zepka G S.Lightning forecasting in southeastern Brazil using the WRFmodel,Atmos[J].Res,2013.
[9] Smith M H,H D Orville.Electrical effects for a numerical cloud model[J].ProjectThemis,1970.
[10] Kalina E A,Friedrich K,Morrison H,et al.Aerosol Effects on Idealized Supercell Thunderstorms in Different Environments[J].Journal of the Atmospheric Sciences,2014,71(12):4558-4580.
[11] Pringle J E.Atmospheric electricity in a numerical cloud model[J].M.S.thesisSD School of Mines and Technology,Rapid City,1971.
[12] Lim K S,Hong S,Yum S S,et al.Aerosol effects on the development of a supercell storm in a double-moment bulk-cloud microphysics scheme[J].Journal of Geophysical Research Atmospheres,2011,116(D2).
[13] 陈功,廖捷,孙凌.WRF微物理方案对四川一次强降水模拟的影响[J].高原山地气象研究,2012,32(1):43-50.
[14] 谌芸,孙军,徐珺,等.北京721特大暴雨极端性分析及思考(一)观测分析及思考[J].气象,2012,38(10):1255-1266.
[15] 俞小鼎,张爱民,郑媛媛,等.一次系列下击暴流事件的多普勒天气雷达分析[J].应用气象学报,2006(4):385-393.
[16] 张建春,王海霞,陶祖钮.对流有效位能预报能力的统计分析[J].暴雨灾害,2014,33(3):290-296.
[17] 魏鸣,雷欢欢,程周杰,等.能量位涡在雷雨大风天气诊断分析中的应用[J].大气科学学报,2013,36(2):158-164.
[18] 黄蕾,周筠珺,谷娟,等.雷暴中雷电活动与WRF模式微物理和动力模拟量的对比研究[J].大气科学,2015,39(6):1095-1110.
[19] Zhao P,Yin Y,Xiao H. The effects of aerosol on development of thunderstorm electrification:A simulation study in Weather Research and Forecasting(WRF)model[J].Atmospheric Research,2015,153:376-391.
相似文献/References:
[1]谭 天,肖 辉,孙 跃,等.北京地区雷暴云微物理结构数值模拟
及其与双偏振雷达观测对比[J].成都信息工程大学学报,2017,(04):409.[doi:10.16836/j.cnki.jcuit.2017.04.011]
TAN Tian,XIAO Hui,SUN Yue,et al.Numerical Simulation of Microphysical Structures of a Severe Thunderstorm
in Beijing and their Comparisons with Polarimetric Radar Observations[J].Journal of Chengdu University of Information Technology,2017,(05):409.[doi:10.16836/j.cnki.jcuit.2017.04.011]
[2]谢晓林,胡 迪,罗宇昂,等.成都“8·11”强对流天气多普勒雷达与闪电特征分析[J].成都信息工程大学学报,2022,37(06):701.[doi:10.16836/j.cnki.jcuit.2022.06.013]
XIE Xiaolin,HU Di,LUO Yuang,et al.Analysis of Doppler Radarand Lightning Characteristics in“8·11” Severe Convective Weather in Chengdu[J].Journal of Chengdu University of Information Technology,2022,37(05):701.[doi:10.16836/j.cnki.jcuit.2022.06.013]
备注/Memo
收稿日期:2018-12-28基金项目:国家自然科学基金资助项目(41875169); 四川省教育厅科研资助项目(17ZB0087)