基于SWAN雷达拼图产品在暴雨过程中的对流云降水识别及效果检验
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  • 英文篇名:Identification and Effect Verification of Convective Cloud Precipitation in Rainstorm Processes Based on SWAN Mosaic Products
  • 作者:张勇 ; 吴胜刚 ; 张亚萍 ; 刘伯骏 ; 龙美希 ; 邹倩
  • 英文作者:ZHANG Yong;WU Shenggang;ZHANG Yaping;LIU Bojun;LONG Meixi;ZOU Qian;Chongqing Meteorological Observatory;
  • 关键词:SWAN拼图产品 ; 暴雨 ; 降水分类 ; 地闪 ; 检验
  • 英文关键词:SWAN(Severe Weather Automatic Nowcast System)mosaic products;;rainstorm;;precipitation classification;;cloud-to-ground lightning;;verification
  • 中文刊名:QXXX
  • 英文刊名:Meteorological Monthly
  • 机构:重庆市气象台;
  • 出版日期:2019-02-21
  • 出版单位:气象
  • 年:2019
  • 期:v.45;No.530
  • 基金:中国气象局预报员专项(CMAYBY2016-059);; 重庆市气象部门业务技术攻关项目(YWJSGG-201903)共同资助
  • 语种:中文;
  • 页:QXXX201902004
  • 页数:11
  • CN:02
  • ISSN:11-2282/P
  • 分类号:42-52
摘要
本文基于SWAN雷达拼图产品,选取了组合反射率因子、组合反射率因子水平梯度、回波顶高及垂直累积液态水含量作为识别参数,采用模糊逻辑法对暴雨过程中的对流云与层状云降水进行了分类试验,对发生在重庆的12次区域性暴雨天气过程分类结果进行了验证。并以ADTD地闪资料作为对流云降水的实况观测数据,分别采用了四种不同半径的空间匹配与四种不同时间匹配方式对识别出的对流云降水产品进行了定量检验。检验结果显示:随着空间匹配半径的增大,正确率明显提高,而6 min地闪相对于6 min拼图产品提前6、3、0 min及滞后3 min四种时间匹配方式,其正确率变化很小。对于12次暴雨过程的总体评分较高,检验方法具有清楚的物理意义,在不同的时空匹配方式下的评分结果符合实际情况,同时说明对流云与层状云降水分类效果较好,也是对对流云降水识别定量检验的一次探索。
        Based on SWAN(Severe Weather Automatic Nowcast System) radar mosaic products,we selected the composite reflectivity factor and its horizontal gradient,echo top height and vertically integrated liquid water content as identification parameters, and conducted a classification test for convective cloud and stratiform cloud precipitation in rainstorm processes using the fuzzy logic method. The results were verified by 12 regional rainstorm processes that occurred in Chongqing. Taking the Advanced TOA and Direction System lightning data as objective observation data of convective cloud precipitation, we tested the related products quantitatively by four different radiuses of spatial matching and four different time matching methods, respectively. The verification results showed that with the increase of space matching radius, the correct rate improves significantly. However, the correct rate of 6 min cloud-to-ground lightning flashes relative to 6 min mosaic products ahead of 6 min, 3 min, 0 min and lagging 3 min four time matching methods, changes slightly. The overall score of the rainstorm is high and the test method has clear physical meaning. The score results under different temporal and spatial matching patterns are consistent with the actual situation, which means the classification outcome of the convective and stratiform rainfall is good. This is an exploration of convective cloud precipitation quantitative test as well.
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