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The Dynamical-microphysical-electrical Processes in Severe Thunderstorms and Lightning Hazards(STORM973)project conducted coordinated comprehensive field observations of thunderstorms in the Beijing metropolitan region(BMR)during the warm season from 2014 to 2018.The aim of the project was to understand how dynamical,microphysical and electrical processes interact in severe thunderstorms in the BMR,and how to assimilate lightning data in numerical weather prediction models to improve severe thunderstorm forecasts.The platforms used in the field campaign included the Beijing Lightning Network(BLNET,consisting of 16 stations),2 X-band dual linear polarimetric Doppler radars,and 4 laser raindrop spectrometers.The collaboration also made use of the China Meteorological Administration’s mesoscale meteorological observation network in the Beijing-Tianjin-Hebei region.Although diverse thunderstorm types were documented,it was found that squall lines and multicell storms were the two major categories of severe thunderstorms with frequent lightning activity and extreme rainfall or unexpected local short-duration heavy rainfall resulting in inundations in the central urban area,influenced by the terrain and environmental conditions.The flash density maximums were found in eastern Changping District,central and eastern Shunyi District,and the central urban area of Beijing,suggesting that the urban heat island effect has a crucial role in the intensification of thunderstorms over Beijing.In addition,the flash rate associated with super thunderstorms can reach hundreds of flashes per minute in the central city regions.The super(5%of the total),strong(35%),and weak(60%)thunderstorms contributed about 37%,56%,and 7%to the total flashes in the BMR,respectively.Owing to the close connection between lightning activity and the thermodynamic and microphysical characteristics of the thunderstorms,the lightning flash rate can be used as an indicator of severe weather events,such as hail and short-duration heavy rainfall.Lightning data can also be assimilated into numerical weather prediction models to help improve the forecasting of severe convection and precipitation at the cloud-resolved scale,through adjusting or correcting the thermodynamic and microphysical parameters of the model.  相似文献   
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上海地区持续东风系统控制下污染扩散条件分析   总被引:5,自引:1,他引:4  
利用常规气象资料、物理量场资料、PM2.5小时浓度数据和激光雷达资料,对2014年上半年上海地区持续东风系统控制下两次截然不同的污染变化时空分布特征及其扩散条件进行对比分析。结果表明:海陆温差变化造成两次过程垂直扩散条件显著不同。1月26日海温相对于陆地较高,东风气流为暖平流,海陆热力差异造成近地层垂直温度层结趋于不稳定,加速边界层污染物的垂直扩散;而3月10日过程则相反,海温相对于陆地较低,东风气流为冷平流,造成近地层垂直温度层结趋于稳定,抑制边界层污染物的垂直扩散。此外,激光雷达资料能够直观反映污染物垂直分布,对于了解污染过程的传输特征和形成有一定指导意义。  相似文献   
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