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Kinematics and Microphysical Characteristics of the First Intense Rainfall Convective Storm Observed by Jiangsu Polarimetric Radar Network 被引量:3
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作者 WANG Kun XIA Xin +5 位作者 MEI Yi-qing JIANG Ning WAN Qi-lin LI Min gu pei-shu PENG Xiao-yan 《Journal of Tropical Meteorology》 SCIE 2022年第2期169-182,共14页
The polarimetric radar network in Jiangsu Province has just been operationalized since 2020.The first intense precipitation event observed by this polarimetric radar network and disdrometer occurred during August 28-2... The polarimetric radar network in Jiangsu Province has just been operationalized since 2020.The first intense precipitation event observed by this polarimetric radar network and disdrometer occurred during August 28-29,2020 and caused severe flooding and serious damage in eastern Jiangsu Province.The microphysics and kinetics for this heavy precipitation convective storm is diagnosed in this study,in order to promote the application of this polarimetric radar network.Drop size distribution(DSD)of this event is estimated from measurements of a ground disdrometer,and the corresponding three-dimensional atmospheric microphysical features are obtained from the multiple polarimetric radars.According to features of updraft and lighting,the evolution of the convective storm is divided into four stages:developing,mature with lightning,mature without lightning and dissipating.The DSD of this event is featured by a large number of raindrops and a considerable number of large raindrops.The microphysical characteristics are similar to those of warm-rain process,and ice-phase microphysical processes are active in the mature stages.The composite vertical structure of the convective storm indicates that deep ZDR and KDP columns coincide with strong updrafts during both mature stages.The hierarchical microphysical structure retrieved by the Hydrometeor Identification Algorithm(HID)shows that depositional growth has occurred above the melting level,and aggregation is the most widespread ice-phase process at the-10℃level or higher.During negative lightning activity,the presence of strongest updrafts and a large amount of ice-phase graupel by riming between the 0℃and-35℃layers generate strong negative electric fields within the cloud.These convective storms are typical warm clouds with very high precipitation efficiency,which cause high concentration of raindrops,especially the presence of large raindrops within a short period of time.The ice-phase microphysical processes above the melting layer also play an important role in the triggering and enhancing of precipitation. 展开更多
关键词 convective storms cloud microphysics LIGHTNING warm rain polarimetric S-band radar observations
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南通市PM_(2.5)污染特征及与气象因子相关性分析 被引量:2
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作者 缪明榕 陈铁 +1 位作者 顾沛澍 袁晶 《职业与健康》 CAS 2021年第5期669-673,共5页
目的分析南通市细颗粒物(PM_(2.5))污染特征情况以及气象因子对其影响,为进一步防治大气污染提供参考依据。方法利用2018年3月1日—2019年2月28日中国环境监测网数据和南通市地面气象观测站气象要素资料对数据进行分析。结果 PM_(2.5)... 目的分析南通市细颗粒物(PM_(2.5))污染特征情况以及气象因子对其影响,为进一步防治大气污染提供参考依据。方法利用2018年3月1日—2019年2月28日中国环境监测网数据和南通市地面气象观测站气象要素资料对数据进行分析。结果 PM_(2.5)浓度季节变化特征明显,春、夏季浓度较低,秋、冬季较高。PM_(2.5)浓度主要范围在7~166μg/m^(3),其中PM_(2.5)浓度较高的天气主要出现在11月,最低出现在8月;南通市PM_(2.5)浓度小时平均值为56.8μg/m3,基本呈现两个波峰和两个波谷;一天当中7:00~9:00和19:00~21:00浓度达到最大,2:00~5:00和15:00~17:00浓度达到最低。结论气压高、湿度低的天气更有利于PM_(2.5)颗粒物的聚集,而降水量和风速的增大有利于PM_(2.5)颗粒物的冲刷和扩散,但四季气象条件的不一样对PM_(2.5)浓度的影响也不一致。夏季气温高,气压低,相对湿度低,PM_(2.5)浓度会较低;而冬季气温低,气压高,相对湿度低时,PM_(2.5)浓度会较高。PM_(2.5)浓度跟四季盛行季风密切相关,四季浓度变化差异明显。 展开更多
关键词 细颗粒物浓度 气象因子 相关性
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