Differences in Cloud Radar Phase and Power in Co- and Cross-Channel — Indicator of Lightning
The result's identifiers
Result code in 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>
Alternative codes found
RIV/00216208:11310/21:10424993
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Differences in Cloud Radar Phase and Power in Co- and Cross-Channel — Indicator of Lightning
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10509 - Meteorology and atmospheric sciences
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Remote Sensing
ISSN
2072-4292
e-ISSN
2072-4292
Volume of the periodical
13
Issue of the periodical within the volume
3
Country of publishing house
CH - SWITZERLAND
Number of pages
21
Pages from-to
503
UT code for WoS article
000615471800001
EID of the result in the Scopus database
2-s2.0-85100410775