Evaluate WRF-based Lightning Potential Index (LPI) lightning parameterization over Sri Lanka during second inter-monsoon in 2018
Autor(a) principal: | |
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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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Revista Veras |
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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 |
_version_ |
1813645640760033280 |