Differences in Cloud Radar Phase and Power in Co- and Cross-Channel — Indicator of Lightning
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F21%3A00538940" target="_blank" >RIV/68378289:_____/21:00538940 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11310/21:10424993
Výsledek na webu
<a href="https://oadoi.org/10.3390/rs13030503" target="_blank" >https://oadoi.org/10.3390/rs13030503</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/rs13030503" target="_blank" >10.3390/rs13030503</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Differences in Cloud Radar Phase and Power in Co- and Cross-Channel — Indicator of Lightning
Popis výsledku v původním jazyce
Thunderstorms and especially induced lightning discharges have still not been fully understood, although they are known to cause many casualties yearly worldwide. This study aims at filling the gap of knowledge by investigating the potential of phase and power of the co- and cross-channels of a vertical cloud radar to indicate lightning close to the radar site. We performed statistical and correlation analyses of vertical profiles of phase and power spectra in the co- and the cross-channel for 38 days of thunderstorms producing lightning up to 20 km from the radar in 2018–2019. Specifically, we divided the dataset into “near” and “far” data according to the observed distance of lightning to the radar and analyzed it separately. Although the results are quite initial given the limited number of “near” data, they clearly showed different structures of “near” and “far” data, thus confirming the potential of radar data to indicate lightning. Moreover, for the first time in this study the predictability of lightning using cloud radar quantities was evaluated. We applied a Regression Tree Model to diagnose lightning and verified it using Receiver Operating Characteristic (ROC) and Critical Success Index (CSI). ROC provided surprisingly good results, while CSI was not that good but considering the very rare nature of lightning its values are high as well.
Název v anglickém jazyce
Differences in Cloud Radar Phase and Power in Co- and Cross-Channel — Indicator of Lightning
Popis výsledku anglicky
Thunderstorms and especially induced lightning discharges have still not been fully understood, although they are known to cause many casualties yearly worldwide. This study aims at filling the gap of knowledge by investigating the potential of phase and power of the co- and cross-channels of a vertical cloud radar to indicate lightning close to the radar site. We performed statistical and correlation analyses of vertical profiles of phase and power spectra in the co- and the cross-channel for 38 days of thunderstorms producing lightning up to 20 km from the radar in 2018–2019. Specifically, we divided the dataset into “near” and “far” data according to the observed distance of lightning to the radar and analyzed it separately. Although the results are quite initial given the limited number of “near” data, they clearly showed different structures of “near” and “far” data, thus confirming the potential of radar data to indicate lightning. Moreover, for the first time in this study the predictability of lightning using cloud radar quantities was evaluated. We applied a Regression Tree Model to diagnose lightning and verified it using Receiver Operating Characteristic (ROC) and Critical Success Index (CSI). ROC provided surprisingly good results, while CSI was not that good but considering the very rare nature of lightning its values are high as well.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10509 - Meteorology and atmospheric sciences
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Remote Sensing
ISSN
2072-4292
e-ISSN
2072-4292
Svazek periodika
13
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
21
Strana od-do
503
Kód UT WoS článku
000615471800001
EID výsledku v databázi Scopus
2-s2.0-85100410775