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Intercomparison Study of Cloud-to-Ground Lightning Flashes Observed by KARITLDS and KLDN at South Korea

Authors :
Hong-Il Kim
Bong-Jae Kuk
Hyo-Keun Lee
Jong-Sung Ha
Source :
Journal of Applied Meteorology and Climatology. 50:224-232
Publication Year :
2011
Publisher :
American Meteorological Society, 2011.

Abstract

Concern regarding lightning activity as a precursor of severe weather is increasing. Atmospheric electricity, including lightning phenomena, is one of most serious threats to successful space launch operations. The objective of this study was to evaluate the performance of two different lightning detection networks using a time–range correlation method. Understanding lightning detection network performance enables the weather forecaster to support decisions made regarding space launch operations. The relative detection efficiency (ReDE), observation ratio, ellipse area for 50% probability of location, number of sensors reporting (NSR), time difference, and distance, as parameters that predict system performance, were calculated with the time-range correlation method using cloud-to-ground (CG) flash data from the Korea Aerospace Research Institute Total Lightning Detection System (KARITLDS) and from the Korean Meteorology Administration Lightning Detection Network (KLDN). In this study, 15 thunderstorms were selected from 2008–09 data. A total of 41 192 and 28 976 CG flashes were recorded by KARITLDS and KLDN, respectively. In all, 19 044 CG flashes were correlated as being the same flash. The observation ratios, ReDEKARITLDS, and ReDEKLDN were calculated as 1.42, 0.66, and 0.46, respectively. Eighty percent of CG flashes detected by the KARITLDS (KLDN) had elliptical areas less than 5 km2 (12 km2), where the elliptical areas were defined as having a 50% probability of containing the CG flash. Two regions showing a high observation ratio were due to high KARITLDS detection efficiency and to the blocking of electromagnetic wave propagation by Mount Hanla at 1950 m above sea level.

Details

ISSN :
15588432 and 15588424
Volume :
50
Database :
OpenAIRE
Journal :
Journal of Applied Meteorology and Climatology
Accession number :
edsair.doi...........6ad6709b232b590a43c4cf467e1db498
Full Text :
https://doi.org/10.1175/2010jamc2493.1