Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019JD030874 |
Meteorological Imagery for the Geostationary Lightning Mapper | |
Bruning, Eric C.1; Tillier, Clemens E.2; Edgington, Samantha F.2; Rudlosky, Scott D.3; Zajic, Joe4; Gravelle, Chad5; Foster, Matt6; Calhoun, Kristin M.7,8; Campbell, P. Adrian7,8; Stano, Geoffrey T.9,10; Schultz, Christopher J.10; Meyer, Tiffany C.7,8 | |
2019-12-28 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2019 |
卷号 | 124期号:24页码:14285-14309 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | The Geostationary Lightning Mapper (GLM) on the Geostationary Operational Environmental Satellite-R series of weather satellites provides point geolocations of lightning flashes that are further comprised of a hierarchy of geolocated groups and events. This study describes an open-source method for reconstruction of imagery from those point detections that retains the quantitative physical measurements made by GLM, restores the spatial footprint of the events, and connects that spatial footprint to the groups and flashes. Meteorological signals are demonstrated to be more apparent in the gridded imagery than in the point detections, leading to their adoption by the United States National Weather Service as the first GLM product available in their real-time displays. Analysis of a mesoscale convective system over Argentina confirms that there is a class of propagating lightning observed by GLM (distinct from that in storm cores) that can be visualized and quantified using our imagery-based approach. |
英文关键词 | Lightning Satellite Imagery Open source GOES-R Geostationary |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000504611300001 |
WOS关键词 | OPTICAL TRANSIENT DETECTOR ; THUNDERSTORM ; MODEL ; UNIDATA ; SYSTEM ; SPACE ; LINE |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/225989 |
专题 | 环境与发展全球科技态势 |
作者单位 | 1.Texas Tech Univ, Dept Geosci, Lubbock, TX 79409 USA; 2.Lockheed Martin, Palo Alto, CA USA; 3.NOAA, Ctr Satellite Applicat & Res, College Pk, MD USA; 4.Integr Applicat, Chantilly, VA USA; 5.NOAA, Natl Weather Serv Southern Reg Headquarters, Ft Worth, TX USA; 6.NOAA, Natl Weather Serv Operat Proving Ground, Kansas City, MO USA; 7.Univ Oklahoma, Cooperat Inst Mesoscale Meteorol Studies, Norman, OK 73019 USA; 8.NOAA, Natl Severe Storms Lab, Off Atmospher Res, Norman, OK 73069 USA; 9.ENSCO Inc, Huntsville, AL USA; 10.NASA, SPoRT, Marshall Space Flight Ctr, Huntsville, AL USA |
推荐引用方式 GB/T 7714 | Bruning, Eric C.,Tillier, Clemens E.,Edgington, Samantha F.,et al. Meteorological Imagery for the Geostationary Lightning Mapper[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(24):14285-14309. |
APA | Bruning, Eric C..,Tillier, Clemens E..,Edgington, Samantha F..,Rudlosky, Scott D..,Zajic, Joe.,...&Meyer, Tiffany C..(2019).Meteorological Imagery for the Geostationary Lightning Mapper.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(24),14285-14309. |
MLA | Bruning, Eric C.,et al."Meteorological Imagery for the Geostationary Lightning Mapper".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.24(2019):14285-14309. |
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