DOI: 10.1002/2016GL071951
论文题名: Bayesian techniques to analyze and merge lightning locating system data
作者: Bitzer P.M. ; Burchfield J.C.
刊名: Geophysical Research Letters
ISSN: 0094-8308
EISSN: 1944-8039
出版年: 2016
卷: 43, 期: 24 起始页码: 12605
结束页码: 12613
语种: 英语
英文关键词: assimilation
; Bayes
; detection efficiency
; lightning
; lightning locating system
Scopus关键词: Bayesian networks
; Efficiency
; Location
; Absolute detection efficiency
; Assimilation
; Bayes
; Bayesian techniques
; Detection efficiency
; Lightning detection
; Lightning locating systems
; University of Washington
; Lightning
英文摘要: As more lightning locating systems (LLSs) become available, there is a growing need to assess how each LLS performs and how to best merge data from multiple LLSs. A Bayesian analysis is used to compare the worldwide data of LLSs from three providers for November 2014 to October 2015: Earth Networks Total Lightning Network (ENTLN, Earth Networks), the combined data from the Global Lightning Detection 360 and National Lightning Detection Network (Vaisala), and the World Wide Lightning Location Network (WWLLN, University of Washington). By using the union of the data sets we are able to determine an estimate for the upper limit of the absolute detection efficiency of each system. Globally, ENTLN detected 56.8% of the discharges, the combined Vaisala networks detected 59.8%, and WWLLN detected 7.9%. In addition, there were 2.842 × 109 unique discharges detected by these LLSs, an average of 90.1 strokes/s. © 2016. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007410744&doi=10.1002%2f2016GL071951&partnerID=40&md5=d00c500525b1da1656ef5b5e84a895d5
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/9271
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: Department of Atmospheric Science, University of Alabama in Huntsville, Huntsville, AL, United States
Recommended Citation:
Bitzer P.M.,Burchfield J.C.. Bayesian techniques to analyze and merge lightning locating system data[J]. Geophysical Research Letters,2016-01-01,43(24).