| 四川盆地雷暴动力及微物理模拟参量与地闪关系的研究 |
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| 引用本文： | 马永杰,周筠珺.四川盆地雷暴动力及微物理模拟参量与地闪关系的研究[J].成都信息工程学院学报,2014,29(4):434-441. |
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| 作者姓名： | 马永杰 周筠珺 |
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| 作者单位： | 1. 成都信息工程学院大气科学学院,四川成都610225;96427部队53分队,陕西宝鸡721000
2. 成都信息工程学院大气科学学院,四川成都610225;南京信息工程大学气象灾害预报预警与评估协同创新中心,江苏南京210044;中国科学院陆面过程与气候变化重点实验室,甘肃兰州730000 |
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| 基金项目： | 中国气象局成都高原气象开放实验室资助项目，中国科学院重点实验室开放基金资助项目 |
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| 摘 要： | 为探讨地闪活动与中尺度数值模式输出量之间的关系,利用新一代中尺度数值模式WRF模拟2011年7月23日四川盆地中的一次强雷暴过程,并对比研究模式输出的动力和微物理场量与地闪频数的关系。结果表明,在WRF模式中采用Kain-Fritsch积云参数化方案和Thompson微物理方案的组合方案能较为成功模拟出此次雷暴过程,模式输出的上升气流和冰相粒子与地闪关系密切,500hPa霰和300hPa冰晶含量在时间上比地闪频数超前约15min,300hPa雪晶含量与地闪频数在时间上基本同步;上升气流速度对冰相粒子的分布起关键作用,上升气流速度较大地区附近相应地闪活动比较频繁。
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| 关 键 词： | 气象学 短临天气预报 WRF模式 地闪 上升气流 冰相粒子 四川盆地 |
Modeling on Relationships among Cloud-to-Ground Lightning,Dynamic and Microphysical Parameters in a Thunderstorm in Sichuan Basin |
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| MA Yong-jie,ZHOU Yun-jun.Modeling on Relationships among Cloud-to-Ground Lightning,Dynamic and Microphysical Parameters in a Thunderstorm in Sichuan Basin[J].Journal of Chengdu University of Information Technology,2014,29(4):434-441. |
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| Authors: | MA Yong-jie ZHOU Yun-jun |
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| Institution: | MA Yong-jie,ZHOU Yun-jun (1. College of Atmospheric Science, Chengdu University of Information Technology, Chengdu 610225,China;2. Collaborative Inno- vation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science ＆ Technology, Nanjing 210044,China;3. Key Laboratory for Land Surface Process and Climate Change in Cold and Arid Regions, Chinese Academy of Sciences, Lanzhou 730000,China;4. The Troop 96427 of PLA, Shaanxi 721000, China) |
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| Abstract: | To investigate the relationship of the cloud-to-ground（CG） lightning activity and mesoscale numerical model outputs,the Weather Research and Forecasting （WRF） model was used for modeling the thunderstorm process on July 23,2011,in Sichuan Basin in China,and then the output of dynamic and microphysical from WRF model and CG lightning frequency was compared and studied.Results indicate that the combination of Kain Fritsch cumulus parameterization scheme and Thompson microphysical scheme in the WRF model can successfully simulate the thunderstorm process; graupel maximum content at 500 hPa and snow maximum content at 300 hPa were before about 15 minutes than CG lightning maximum frequency,and the 300 hPa ice crystal content and the lightning frequency synchronization; updraft velocity played a key role in distribution of ice phase particles,and there were a lot frequent lightning activities near the updraft velocity. |
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| Keywords: | meteorology short-term weather forecast WRF model cloud-to-ground lightning updraft ice-phase particles Sichuan basin |
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