首页> 外文学位 >A comparison of two ground-based lightning detection networks against the satellite-based lightning imaging sensor (LIS).
【24h】

A comparison of two ground-based lightning detection networks against the satellite-based lightning imaging sensor (LIS).

机译:两种基于地面的雷电检测网络与基于卫星的雷电成像传感器(LIS)的比较。

获取原文
获取原文并翻译 | 示例

摘要

We compared lightning stroke data from the ground-based World Wide Lightning Location Network (WWLLN) and lightning stroke data from the ground-based Earth Networks Total Lightning Network (ENTLN) to lightning group data from the satellite-based Lightning Imaging Sensor (LIS) from 1 January 2010 through 30 June 2011. The region of study, about 39°S to 39°N latitude, 164°E to 17°W longitude, chosen to approximate the Geostationary Lightning Mapper (GLM) field of view, was considered in its entirety and then divided into four geographical sub-regions. We found the highest 18-mon WWLLN coincidence percent (CP) value in the Pacific Ocean at 18.9% and the highest 18-mon ENTLN CP value in North America at 63.3%. We found the lowest 18-mon CP value for both WWLLN and ENTLN in South America at 6.2% and 2.2% respectively. Daily CP values and how often large radiance LIS groups had a coincident stroke varied. Coincidences between LIS groups and ENTLN strokes often resulted in more cloud than ground coincidences in North America and more ground than cloud coincidences in the other three sub-regions.
机译:我们将来自地面的全球闪电定位网络(WWLLN)的雷击数据与来自地面的地球网络总闪电网络(ENTLN)的雷击数据与基于卫星的闪电成像传感器(LIS)的雷电组数据进行了比较从2010年1月1日至2011年6月30日。研究区域被选为近似地球静止闪电测绘仪(GLM)视场的纬度为39°S至39°N,经度为164°E至17°W。然后将其整体划分为四个地理子区域。我们发现,太平洋地区18个月WWLLN符合率(CP)最高,为18.9%,而北美地区18个月ENTLLN最高CP值为63.3%。我们发现南美地区WWLLN和ENTLN的最低18mon CP值分别为6.2%和2.2%。每日CP值和大辐射度LIS组发生中风的频率各不相同。 LIS组与ENTLN笔划之间的重合通常导致北美地区的云层多于地面重合,而其他三个子区域的云层重合多于地面重合。

著录项

  • 作者

    Thompson, Kelsey B.;

  • 作者单位

    The University of Alabama in Huntsville.;

  • 授予单位 The University of Alabama in Huntsville.;
  • 学科 Atmospheric Sciences.
  • 学位 M.S.
  • 年度 2013
  • 页码 332 p.
  • 总页数 332
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TS97-4;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 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