LI Yifan,XIAO Hui,YANG Huiling,et al.Numerical Simulation of a Beijing Winter Snowstorm and its Cloud Microphysical Processes[J].Journal of Chengdu University of Information Technology,2020,35(01):55-68.[doi:10.16836/j.cnki.jcuit.2020.01.009]
北京地区一次冬季降雪天气及其云微物理过程的数值模拟
- Title:
- Numerical Simulation of a Beijing Winter Snowstorm and its Cloud Microphysical Processes
- 文章编号:
- 2096-1618(2020)01-0055-14
- Keywords:
- atmospheric physics and environment; cloud physics; inverse flow snowstorm; numerical simulation; hydrometeors; source and sink terms of solid particles
- 分类号:
- P426. 5 +1
- 文献标志码:
- A
- 摘要:
- 为了解北京降雪的微物理机制,利用中尺度数值模式WRFV3.9.1(选取Thompson微物理方案),对2015年11月22-23日北京的一次降雪天气进行模拟,并利用常规降水资料、探空资料、雷达资料对模拟结果进行验证,在此基础上分析此次降雪的云微物理过程。结果表明,华西倒槽顶部的偏东风气流为此次降雪发生、发展带来了充足水汽,形成回流降雪天气。模式能够很好地模拟出雷达回波和降水的分布及时间演变特征。模拟的云雷达站点的反射率和水成物粒子的时空演变和Ka波段垂直指向雷达的观测结果较为一致。对云微物理结构的模拟结果分析表明,雪花主要的3个源项分别为雪花凝华、雪晶碰冻云水、冰晶自动转化成雪,在低层有雪花升华; 高空的冰晶主要来源于凝华,经冰晶转化为雪的过程消耗; 低层的霰粒主要来自雪晶撞冻云水。
- Abstract:
- In order to understand the microphysical mechanism of winter snowstorm in Beijing, a winter snowfall event in Beijing during 22~23 November,2015 was simulated by the WRFV3.9.1 mesoscale numerical model with the Thompson microphysics scheme. The simulated results were verified by taking advantage of conventional precipitation data, sounding data and polarimetric radar data.On this basis obove,the cloud microphysical processes of the snowfall were analyzed in detail. The results show that the easterly airflow at the top of the inverted trough in West China has brought sufficient water vapor to the occurrence and development of the snowfall,so a inverse flow snowstorm forms. The model can quite well the distribution and temporal evolution of radar echoes and precipitation.The cloud radar station simulated and the temporal and spatial evolution of hydrate particles are consistent with the observation result when Ka-band is vertically pointing at radar.The simulation results of cloud microphysical structure show that three main source terms of snow are the depositional growth of snow, the accretion of cloud water by snow and ice crystals automatically converting into snow, and there is sublimation of snow in the lower layer.The upper layer ice crystal is mainly from condensation and is consumed in the process of ice crystal converting into snow.The graupel particles in the lower layer mainly come from the accretion of cloud water by snow.
参考文献/References:
[1] 寿绍文,励申申,姚秀萍.中尺度气象学[M].北京:气象出版社,2003:235-239.
[2] Chu, X.,L.Xue,B.Geerts,R.Rasmussen,et al.A case study of radar observations and WRF LES simulations of the impact of ground-based glaciogenic seeding on orographic clouds and precipitation.Part I:Observations and model validations[J].J.Appl.Meteor.Climatol.,2014,53:2264-2286.
[3] Xue L,Chu X,Rasmussen R,et al.A case study of radar observation and WRF LES simulations of the impact of ground-basedglaciogenic seeding on orographic clouds and precipitation: Part II:AgI dispersion and seeding signals simulated by WRF[J].J.Appl.Meteor.Climatol.,2016,55(10):445-464.
[4] 游来光,王守荣,王鼎丰,等.新疆冬季降雪微结构及其增长过程的初步研究[J].气象学报,1989,47(1):73-81.
[5] 盛日锋,马占山,欧建军,等.2009年山东一次特殊雨雪天气的云物理特征分析[J].高原气象,2012,31(6):1711-1720.
[6] Battaglia A,J Delanoë.Synergies and complementarities of CloudSat-CALIPSO snow observations[J].J.Geophys.Res.Atmos.,2013,118(2):721-731.
[7] Kumjian M R,Rutledge S A,Rasmussen R M,et al.High-Resolution Polarimetric Radar Observations of Snow-Generating Cells[J].J.Appl.Meteor.Climatol.,2014,53(6):1636-1658.
[8] Jing X,Geerts B,Friedrich K,et al.Dual-Polarization Radar Data Analysis ofthe Impact of Ground-Based Glaciogenic Seeding on Winter Orographic Clouds.PartI:Mostly StratiformClouds[J].J.Appl.Meteor.Climatol.,2015,54(9):1944-1969.
[9] 陈羿辰,金永利,丁德平,等.毫米波测云雷达在降雪观测中的应用初步分析[J].大气科学,2018,42(1):134-149.
[10] 何晖,马新成,陈羿辰,等.赴韩国参加第3届ICE-POP2018国际学术研讨会总结[J].气象科技合作动态,2018(1):23-29.
[11] 林文实,李江南,樊琦,等.云微物理参数化对华北降雪影响的数值模拟[J].高原气象,2007,26(1):107-115.
[12] 林文实,孟金平,蒙伟光,等.华北暴雪的云微物理参数化方案的比较模拟[J].气象科学,2009,29(2):150-156.
[13] Lin W,Bueh C,The cloud processes of a simulated moderate snowfall event in North China[J].大气科学进展(英文版),2006,23(2):235-242.
[14] Lin W S,Sui C H,BuehC,et al. Numerical comparison study of cloud microphysical parameterization schemes for a moderate snowfall event in North China[J].Meteorology and Atmospheric Physics,2007,95(3-4):195-204.
[15] 姚蓉,叶成志,田莹,等.2011年初湖南暴雪过程的成因和数值模拟分析[J].气象,2012,38(7):848-857.
[16] Han, M,S A Braun,T Matsui.Evaluation of cloud microphysics schemes in simulations of a winter storm using radar and radiometer measurements[J].J.Geophys.Res.Atmos.,2013,118:1401-1419.
[17] Molthan, A L,Colle,B A,Yuter,S E,et al.Comparisons of Modeled and Observed Reflectivities and Fall Speeds for Snowfall of Varied Riming Degrees during Winter Storms on Long Island,New York[J].Mon.Wea.Rev.,2016,144(11):4327-4347.
[18] 仪清菊,刘延英,许晨海.北京1980~1994年降雪的天气气候分析[J].应用气象学报,1999,10(2):249-254.
[19] Thompson, G,R M Rasmussen,K Manning.Explicit forecasts of winter precipitation using an improved bulk microphysics scheme.Part I:Description and sensitivity analysis[J].Mon.Wea.Rev.,2004,132:519-542.
[20] Thompson G,P R Field,R M Rasmussen,.Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part II: Implementation of a new snow parameterization[J].Mon.Wea.Rev.,2008,136:5095-5115.
[21] Field, P R,R J Hogan,P R A Brown,et al.Parameterization of ice-particle size distribution from mid-latitude stratiform cloud[J].Q.J.R.Meteorol.Soc.,2008,131:1997-2017.
相似文献/References:
[1]刘 恒,周筠珺,赵鹏国,等.北京地区飑线天气雷电活动的数值模拟研究[J].成都信息工程大学学报,2018,(03):296.[doi:10.16836/j.cnki.jcuit.2018.03.013]
LIU Heng,ZHOU Yun-jun,ZHAO Peng-guo,et al.Numerical Simulation Study on Electrical Activity of a Squall Line in Beijing[J].Journal of Chengdu University of Information Technology,2018,(01):296.[doi:10.16836/j.cnki.jcuit.2018.03.013]
[2]成鹏伟,周筠珺,赵鹏国,等.北京与成都城市下垫面闪电时空分布特征对比研究[J].成都信息工程大学学报,2018,(03):326.[doi:10.16836/j.cnki.jcuit.2018.03.016]
CHENG Peng-wei,ZHOU Yun-jun,ZHANO Peng-guo,et al.A Comparative Study on Space-time Distribution Characteristics ofLightning Flashes in Beijing and Chengdu Cities[J].Journal of Chengdu University of Information Technology,2018,(01):326.[doi:10.16836/j.cnki.jcuit.2018.03.016]
[3]张凯锋,曹 宁,张 敏.CMIP5多模式下的ENSO模拟评估及非对称性特征分析[J].成都信息工程大学学报,2019,(03):278.[doi:10.16836/j.cnki.jcuit.2019.03.013]
ZHANG KaiFeng,CAO Ning,ZHANG Min.Evaluation and Asymmetry Feature Analysis of ENSO Events in CMIP5 Multi-models[J].Journal of Chengdu University of Information Technology,2019,(01):278.[doi:10.16836/j.cnki.jcuit.2019.03.013]
[4]蔡宏珂,郑泽华,陈权亮,等.Kelud火山喷发对平流层光学性质的影响[J].成都信息工程大学学报,2018,(05):572.[doi:10.16836/j.cnki.jcuit.2018.05.015]
CAI Hong-ke,ZHENG Ze-hua,CHEN Quan-liang,et al.The Lidar Observation for Stratospheric Optical
Features Influenced by Kelud Eruption[J].Journal of Chengdu University of Information Technology,2018,(01):572.[doi:10.16836/j.cnki.jcuit.2018.05.015]
[5]张银量,宣越健,张金强,等.东亚3 个站点臭氧层顶和对流层顶关系研究[J].成都信息工程大学学报,2016,(01):116.
ZHANG Yin-Liang,XUAN Yue-Jian,ZHANG Jin-Qiang,et al.A Study of Relationship between Ozonopause and Tropopause
over Three Sites in the East Asian[J].Journal of Chengdu University of Information Technology,2016,(01):116.
[6]鞠诗尧,张小玲,范广洲,等.北京地区一次持续重污染过程的气象成因分析[J].成都信息工程大学学报,2017,(04):419.[doi:10.16836/j.cnki.jcuit.2017.04.012]
JU Shi-yao,ZHANG Xiao-ling,FAN Guang-zhou,et al.Analysis of Meteorological Conditions for a Continuous
Heavy Pollution Process in Beijing[J].Journal of Chengdu University of Information Technology,2017,(01):419.[doi:10.16836/j.cnki.jcuit.2017.04.012]
[7]刘蕾蕾,聂椿力,张 梦,等.海陆风对广东沿海地区秋冬季污染物的影响研究[J].成都信息工程大学学报,2021,36(03):316.[doi:10.16836/j.cnki.jcuit.2021.03.013]
LIU Leilei,NIE Chunli,ZHANG Meng,et al.Effects of Land-sea Breeze on Autumn and Winter Pollution in some Coastal Areas of Guangdong Province[J].Journal of Chengdu University of Information Technology,2021,36(01):316.[doi:10.16836/j.cnki.jcuit.2021.03.013]
[8]周 昱,尹志聪,周筠珺.贵州威宁一次雹暴过程的雷达观测与数值模拟研究[J].成都信息工程大学学报,2022,37(02):177.[doi:10.16836/j.cnki.jcuit.2022.02.011]
ZHOU Yu,YIN Zhicong,ZHOU Yunjun.Observation and Numerical Simulation Study of a Hailstorm in Weining Guizhou Province[J].Journal of Chengdu University of Information Technology,2022,37(01):177.[doi:10.16836/j.cnki.jcuit.2022.02.011]
[9]王莹珏,彭思越,张浩然,等.广东龙门地区雨滴谱特征研究[J].成都信息工程大学学报,2023,38(05):548.[doi:10.16836/j.cnki.jcuit.2023.05.009]
WANG Yingjue,PENG Siyue,ZHANG Haoran,et al.Raindrop Spectrum Characteristics in Longmen Guangdong Province[J].Journal of Chengdu University of Information Technology,2023,38(01):548.[doi:10.16836/j.cnki.jcuit.2023.05.009]
[10]赵浩阳,宋 伟,任 红,等.长沙市酸雨自动观测与人工观测的对比分析[J].成都信息工程大学学报,2023,38(05):572.[doi:10.16836/j.cnki.jcuit.2023.05.012]
ZHAO Haoyang,SONG Wei,REN Hong,et al.Comparative Study of Acid Rain based on Automatic and Manual Observation in Changsha[J].Journal of Chengdu University of Information Technology,2023,38(01):572.[doi:10.16836/j.cnki.jcuit.2023.05.012]
[11]路增鑫,范广洲.一次高原低涡过程云微物理特征模拟研究[J].成都信息工程大学学报,2023,38(02):166.[doi:10.16836/j.cnki.jcuit.2023.02.007]
LU Zengxin,FAN Guangzhou.Simulation of Cloud Microphysical Characteristics during a Plateau Vortex Process[J].Journal of Chengdu University of Information Technology,2023,38(01):166.[doi:10.16836/j.cnki.jcuit.2023.02.007]
备注/Memo
收稿日期:2019-03-28基金项目:国家重点研发计划资助项目(2016YFE0201900-02); 国家自然科学基金资助项目(41575037); 国家重点基础研究发展计划(973)资助项目(2014CB441403)