Evaluate WRF-based Lightning Potential Index (LPI) lightning parameterization over Sri Lanka during second inter-monsoon in 2018

Detalhes bibliográficos
Autor(a) principal: Premathilake, Jayasinghe Sepalage Darshana Shamil
Data de Publicação: 2024
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Veras
Texto Completo: https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/66057
Resumo: It is important to develop accurate and reliable lightning prediction system that can be contributed towards the safety of life, both concerning forecasting for the public safety and safety of aviation and electrical power. This study aims to evaluate WRF-based Lightning Potential Index(LPI) lightning parameterization and its applicability for predicting lightning over Sri Lanka during the second inter-monsoon. The WRF-ARW model 3.9.1 was used to produce predictions for three lightning events with various physical parameterization schemes with two nested domains with a resolution of 12km and 4km respectively. The model simulated LPI values were evaluated using the Earth Networks Global Lightning (ENGLN) dataset. Results show corresponding lightning simulations were produced with spatial distribution aligned with ground-based lightning data. Results consistently show a high correlation of the LPI index with an hourly CG flash rate over the three cases. Moreover, the WRF model was able to capture the lightning using LPI in Sri Lanka, suggesting that it can be used operationally to predict lightning potential region.
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spelling Evaluate WRF-based Lightning Potential Index (LPI) lightning parameterization over Sri Lanka during second inter-monsoon in 2018lightning predictionLPISri LankaWRF modelIt is important to develop accurate and reliable lightning prediction system that can be contributed towards the safety of life, both concerning forecasting for the public safety and safety of aviation and electrical power. This study aims to evaluate WRF-based Lightning Potential Index(LPI) lightning parameterization and its applicability for predicting lightning over Sri Lanka during the second inter-monsoon. The WRF-ARW model 3.9.1 was used to produce predictions for three lightning events with various physical parameterization schemes with two nested domains with a resolution of 12km and 4km respectively. The model simulated LPI values were evaluated using the Earth Networks Global Lightning (ENGLN) dataset. Results show corresponding lightning simulations were produced with spatial distribution aligned with ground-based lightning data. Results consistently show a high correlation of the LPI index with an hourly CG flash rate over the three cases. Moreover, the WRF model was able to capture the lightning using LPI in Sri Lanka, suggesting that it can be used operationally to predict lightning potential region.Brazilian Journals Publicações de Periódicos e Editora Ltda.2024-01-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/6605710.34117/bjdv10n1-005Brazilian Journal of Development; Vol. 10 No. 1 (2024); 73-92Brazilian Journal of Development; Vol. 10 Núm. 1 (2024); 73-92Brazilian Journal of Development; v. 10 n. 1 (2024); 73-922525-8761reponame:Revista Verasinstname:Instituto Superior de Educação Vera Cruz (VeraCruz)instacron:VERACRUZenghttps://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/66057/47136Premathilake, Jayasinghe Sepalage Darshana Shamilinfo:eu-repo/semantics/openAccess2024-01-05T16:58:44Zoai:ojs2.ojs.brazilianjournals.com.br:article/66057Revistahttp://site.veracruz.edu.br:8087/instituto/revistaveras/index.php/revistaveras/PRIhttp://site.veracruz.edu.br:8087/instituto/revistaveras/index.php/revistaveras/oai||revistaveras@veracruz.edu.br2236-57292236-5729opendoar:2024-10-15T16:27:48.853413Revista Veras - Instituto Superior de Educação Vera Cruz (VeraCruz)false
dc.title.none.fl_str_mv Evaluate WRF-based Lightning Potential Index (LPI) lightning parameterization over Sri Lanka during second inter-monsoon in 2018
title Evaluate WRF-based Lightning Potential Index (LPI) lightning parameterization over Sri Lanka during second inter-monsoon in 2018
spellingShingle Evaluate WRF-based Lightning Potential Index (LPI) lightning parameterization over Sri Lanka during second inter-monsoon in 2018
Premathilake, Jayasinghe Sepalage Darshana Shamil
lightning prediction
LPI
Sri Lanka
WRF model
title_short Evaluate WRF-based Lightning Potential Index (LPI) lightning parameterization over Sri Lanka during second inter-monsoon in 2018
title_full Evaluate WRF-based Lightning Potential Index (LPI) lightning parameterization over Sri Lanka during second inter-monsoon in 2018
title_fullStr Evaluate WRF-based Lightning Potential Index (LPI) lightning parameterization over Sri Lanka during second inter-monsoon in 2018
title_full_unstemmed Evaluate WRF-based Lightning Potential Index (LPI) lightning parameterization over Sri Lanka during second inter-monsoon in 2018
title_sort Evaluate WRF-based Lightning Potential Index (LPI) lightning parameterization over Sri Lanka during second inter-monsoon in 2018
author Premathilake, Jayasinghe Sepalage Darshana Shamil
author_facet Premathilake, Jayasinghe Sepalage Darshana Shamil
author_role author
dc.contributor.author.fl_str_mv Premathilake, Jayasinghe Sepalage Darshana Shamil
dc.subject.por.fl_str_mv lightning prediction
LPI
Sri Lanka
WRF model
topic lightning prediction
LPI
Sri Lanka
WRF model
description It is important to develop accurate and reliable lightning prediction system that can be contributed towards the safety of life, both concerning forecasting for the public safety and safety of aviation and electrical power. This study aims to evaluate WRF-based Lightning Potential Index(LPI) lightning parameterization and its applicability for predicting lightning over Sri Lanka during the second inter-monsoon. The WRF-ARW model 3.9.1 was used to produce predictions for three lightning events with various physical parameterization schemes with two nested domains with a resolution of 12km and 4km respectively. The model simulated LPI values were evaluated using the Earth Networks Global Lightning (ENGLN) dataset. Results show corresponding lightning simulations were produced with spatial distribution aligned with ground-based lightning data. Results consistently show a high correlation of the LPI index with an hourly CG flash rate over the three cases. Moreover, the WRF model was able to capture the lightning using LPI in Sri Lanka, suggesting that it can be used operationally to predict lightning potential region.
publishDate 2024
dc.date.none.fl_str_mv 2024-01-03
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/66057
10.34117/bjdv10n1-005
url https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/66057
identifier_str_mv 10.34117/bjdv10n1-005
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/66057/47136
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Brazilian Journals Publicações de Periódicos e Editora Ltda.
publisher.none.fl_str_mv Brazilian Journals Publicações de Periódicos e Editora Ltda.
dc.source.none.fl_str_mv Brazilian Journal of Development; Vol. 10 No. 1 (2024); 73-92
Brazilian Journal of Development; Vol. 10 Núm. 1 (2024); 73-92
Brazilian Journal of Development; v. 10 n. 1 (2024); 73-92
2525-8761
reponame:Revista Veras
instname:Instituto Superior de Educação Vera Cruz (VeraCruz)
instacron:VERACRUZ
instname_str Instituto Superior de Educação Vera Cruz (VeraCruz)
instacron_str VERACRUZ
institution VERACRUZ
reponame_str Revista Veras
collection Revista Veras
repository.name.fl_str_mv Revista Veras - Instituto Superior de Educação Vera Cruz (VeraCruz)
repository.mail.fl_str_mv ||revistaveras@veracruz.edu.br
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