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作 者:王小龙[1] 王彤[1] 李映春[1] 李娟 邓卓雅 王秀花[1] 谢蕊[1] 安斌 WANG Xiaolong;WANG Tong;LI Yingchun;LI Juan;DENG Zhuoya;WANG Xiuhua;XIE Rui;AN Bin(Tianshui Meteorological Bureau,Tianshui 741000,China;Maiji Meteorological Bureau,Tianshui 741020,China)
机构地区:[1]天水市气象局,甘肃天水741000 [2]麦积区气象局,甘肃天水741020
出 处:《沙漠与绿洲气象》2022年第5期56-61,共6页Desert and Oasis Meteorology
基 金:甘肃省气象局面上项目(GSMAMs2018-08)。
摘 要:利用常规观测资料、区域自动站资料和“葵花8号”气象卫星资料,对2016年4—9月甘肃省陇东南地区出现的43次强对流天气过程进行分析,确立了强对流云团识别指标、追踪方法及预报指标,并对2018年部分个例进行效果检验。结果表明:(1)利用卫星B13通道(10.4μm)亮温值TBB≤238 K或B08通道(6.2μm)与B13通道亮温差△TBB<0 K双阈值作为强对流云团识别指标,可以准确识别出陇东南地区的强对流天气云团;(2)利用“逆向搜索法”、“面积重叠法”及对云团重心的计算,可以对强对流云团进行准确定位、追踪及移动路径外推预报;(3)建立的强对流天气落区判别指标对该地区短时强降水及冰雹落区具有一定的预报能力。Based on the data of routine observations,regional automatic stations and Himawari-8 meteorological satellite,the 43 severe convection weather processes that occurred in southeast Gansu between April and September 2016 were analyzed.The indicator of severe convective cloud recognition,tracking method and forecast indicator were established,and some individual cases of 2018 were tested to validate the effectiveness.The results showed that:(1)Using double threshold values of TBB≤238 K of the B13 channel(10.4μm)or the TBB difference△TBB<0 K of the B08 channel(6.2μm)and the B13 channel as the indicator of severe convective cloud recognition can accurately identify severe convection weather clouds in southeast Gansu.(2)Approaches like“reverse searching”and“area overlap”could be used to calculate the center of gravity of clouds,thereby accurately locating and tracking severe convective clouds and extrapolatively forecasting their paths of movement.(3)The indicator to discriminate the fallout zone of convective weather has a certain forecast capacity for the fallout zones of short-time strong rainfall and hail within the region.
关 键 词:葵花8号 强对流云团识别 强对流云团追踪 短时强降水
分 类 号:P457.6[天文地球—大气科学及气象学]
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