Pregled bibliografske jedinice broj: 1246809
On the Classification of Self-Triggered versus OtherTriggered Lightning Flashes
On the Classification of Self-Triggered versus OtherTriggered Lightning Flashes // 34th International Conference on Lightning Protection (ICLP)
Poland: Institute of Electrical and Electronics Engineers (IEEE), 2018. 1, 1 doi:10.1109/iclp.2018.8503322 (predavanje, međunarodna recenzija, kratko priopćenje, znanstveni)
CROSBI ID: 1246809 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
On the Classification of Self-Triggered versus
OtherTriggered Lightning Flashes
Autori
Sunjerga, A. ; Mostajabi, A. ; Rachidi, F. ; Pineda, N. ; Romero, D. ; Van der Velde, O. A. ; Montanya, J. ; Azadifar, M. ; Rubinstein, M. ; Diendorfer, G.
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, kratko priopćenje, znanstveni
Skup
34th International Conference on Lightning Protection (ICLP)
Mjesto i datum
Poland, 01.01.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
lightning , upward lightning , self-triggered , othertriggered , lightning mapping array , lightning location systems
Sažetak
We present in this paper lightning current measurements and LMA (Lightning Mapping Array) data associated with upward flashes observed at the Sàntis Tower during Summer 2017. The LMA network consists of six stations located in the vicinity of the tower at distances ranging from 100 m to 11 km from it. 20 flashes simultaneously recorded by the current measurement system and the LMA are analyzed. Based on the lightning activity derived from the European Lightning Detection Network (EUCLID) in an area within 30 km from the tower and in a 5-second time window before the start of the flash, all the 20 flashes were classified as `self-triggered' (ST). However, the investigations based on the LMA data reveal that 3 of the flashes were preceded by nearby activity and should be therefore classified as `other- triggered' (OT) flashes. The results suggest that the number of OT flashes inferred from LLS data can be underestimated.
Izvorni jezik
Engleski
