...
首页> 外文期刊>Monthly Weather Review >Cloud-to-Ground Lightning Flash Parameters Associated with Heavy Rainfall Alarms in the Denver, Colorado, Urban Drainage and Flood Control District ALERT Network
【24h】

Cloud-to-Ground Lightning Flash Parameters Associated with Heavy Rainfall Alarms in the Denver, Colorado, Urban Drainage and Flood Control District ALERT Network

机译:在科罗拉多州丹佛市,城市排水和防洪区的ALERT网络中,与大雨量警报相关的云对地闪电参数

获取原文
获取原文并翻译 | 示例

摘要

Rainfall data from the Denver, Colorado, Urban Drainage and Flood Control District Automated Local Evaluation in Real Time (ALERT) network were used to identify heavy rainfall alarms for the period 1999-2003. Twenty-nine heavy rainfall-rate alarms were identified. Cloud-to-ground (CG) lightning flash data from the National Lightning Detection Network (NLDN) were analyzed for the 90 min prior to each heavy rainfall alarm. Spatial patterns from NLDN data were extracted using a point-polygon topology developed with basic Geographic Information System procedures. The information extracted from the polygons was used to calculated summary statistics for rainfall rates, CG flash rates, and CG flash duration. Heavy rainfall episodes were divided into two groups based on latitude, longitude, and elevation. Heavy rainfall episodes in the higher elevations of the study area produced an average of 29 mm of rainfall per episode and 1095 CG flashes in the 90 min prior to the rainfall-rate alarm. Only five polygons, all closely proximal to the alarm sites, produced significant CG flash rates prior to the rainfall alarms, and areas with CG flash durations greater than 25 min were clustered near the rainfall-rate alarm sites. In the second group (the lower elevation stations) the mean event produced a total of 33 mm of rainfall and 1182 CG flashes during the 90 min prior to the rainfall alarm. Four polygons saw consistent CG flash rates in the 90 min prior to the heavy rainfall alarms and CG flash duration was at its greatest in areas just west of the ALERT stations.
机译:来自科罗拉多州丹佛市,城市排水和防洪区实时自动本地评估(ALERT)网络的降雨数据被用于识别1999-2003年期间的强降雨警报。确定了29个强降雨率警报。在每次强降雨警报之前的90分钟内,分析了来自国家闪电检测网络(NLDN)的云对地(CG)闪电数据。使用基本地理信息系统程序开发的点-多边形拓扑结构从NLDN数据中提取空间图案。从多边形中提取的信息用于计算降雨率,CG闪速和CG闪速持续时间的摘要统计量。根据纬度,经度和海拔,将强降雨事件分为两组。研究区域较高海拔地区的强降雨事件在降雨率警报发生之前的90分钟内,平均每集产生了29毫米的降雨和1095 CG闪烁。在降雨警报之前,只有五个多边形(都紧邻警报站点)产生了显着的CG闪烁率,并且CG闪烁持续时间大于25分钟的区域聚集在降雨率警报站点附近。在第二组(低海拔站)中,平均事件在降雨警报发生前的90分钟内产生了总共33毫米的降雨和1182 CG闪烁。在强降雨警报发生之前的90分钟内,四个多边形的CG闪烁速率保持一致,而ALERT站以西的地区CG闪烁持续时间最大。

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号