Distinctive Signals in 1‐minute Observations of Overshooting Tops and Lightning Activity in a Severe Supercell Thunderstorm

Autores
Borque, Paloma Celina; Vidal, Luciano; Rugna, Martin Ezequiel; Lang, Timothy J.; Nicora, Maria Gabriela; Nesbitt, Stephen William
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This work examines a severe weather event that took place over central Argentina on 11 December 2018. The evolution of the storm from its initiation, rapid organization into a supercell, and eventual decay was analyzed with high-temporal resolution observations. This work provides insight into the spatio-temporal co-evolution of storm kinematics (updraft area and lifespan), cloud-top cooling rates, and lightning production that led to severe weather. The analyzed storm presented two convective periods with associated severe weather. An overall decrease in cloud-top local minima IR brightness temperature (MinIR) and lightning jump (LJ) preceded both periods. LJs provided the highest lead time to the occurrence of severe weather, with the ground-based lightning networks providing the maximum warning time of around 30 min. Lightning flash counts from the Geostationary Lightning Mapper (GLM) were underestimated when compared to detections from ground-based lightning networks. Among the possible reasons for GLM's lower detection efficiency were an optically dense medium located above lightning sources and the occurrence of flashes smaller than GLM's footprint. The minimum MinIR provided the shorter warning time to severe weather occurrence. However, the secondary minima in MinIR that preceded the absolute minima improved this warning time by more than 10 min. Trends in MinIR for time scales shorter than 6 min revealed shorter cycles of fast cooling and warming, which provided information about the lifecycle of updrafts within the storm. The advantages of using observations with high-temporal resolution to analyze the evolution and intensity of convective storms are discussed.
Fil: Borque, Paloma Celina. University of Illinois. Urbana - Champaign; Estados Unidos. Pacific Northwest National Laboratory; Estados Unidos
Fil: Vidal, Luciano. Ministerio de Defensa. Secretaria de Planeamiento. Servicio Meteorológico Nacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rugna, Martin Ezequiel. Ministerio de Defensa. Secretaria de Planeamiento. Servicio Meteorológico Nacional; Argentina
Fil: Lang, Timothy J.. National Aeronautics and Space Administration; Estados Unidos
Fil: Nicora, Maria Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Investigación y Desarrollo Estratégico para la Defensa. Ministerio de Defensa. Unidad de Investigación y Desarrollo Estratégico para la Defensa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Científicas y Técnicas para la Defensa. Centro de Investigación en Láseres y Aplicaciones; Argentina
Fil: Nesbitt, Stephen William. University of Illinois. Urbana - Champaign; Estados Unidos
Materia
AEROSOL TRANSPORT
ATMOSPHERIC MODELING
LARGE EDDY SIMULATION (LES)
RANDOM WALK
SEA SPRAY GENERATION
UPSCALED MODELING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/143737
Acceder
id CONICETDig_edf74ef71d9e8345890a0d1e2e5fa8c1
oai_identifier_str oai:ri.conicet.gov.ar:11336/143737
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Distinctive Signals in 1‐minute Observations of Overshooting Tops and Lightning Activity in a Severe Supercell ThunderstormBorque, Paloma CelinaVidal, LucianoRugna, Martin EzequielLang, Timothy J.Nicora, Maria GabrielaNesbitt, Stephen WilliamAEROSOL TRANSPORTATMOSPHERIC MODELINGLARGE EDDY SIMULATION (LES)RANDOM WALKSEA SPRAY GENERATIONUPSCALED MODELINGhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1This work examines a severe weather event that took place over central Argentina on 11 December 2018. The evolution of the storm from its initiation, rapid organization into a supercell, and eventual decay was analyzed with high-temporal resolution observations. This work provides insight into the spatio-temporal co-evolution of storm kinematics (updraft area and lifespan), cloud-top cooling rates, and lightning production that led to severe weather. The analyzed storm presented two convective periods with associated severe weather. An overall decrease in cloud-top local minima IR brightness temperature (MinIR) and lightning jump (LJ) preceded both periods. LJs provided the highest lead time to the occurrence of severe weather, with the ground-based lightning networks providing the maximum warning time of around 30 min. Lightning flash counts from the Geostationary Lightning Mapper (GLM) were underestimated when compared to detections from ground-based lightning networks. Among the possible reasons for GLM's lower detection efficiency were an optically dense medium located above lightning sources and the occurrence of flashes smaller than GLM's footprint. The minimum MinIR provided the shorter warning time to severe weather occurrence. However, the secondary minima in MinIR that preceded the absolute minima improved this warning time by more than 10 min. Trends in MinIR for time scales shorter than 6 min revealed shorter cycles of fast cooling and warming, which provided information about the lifecycle of updrafts within the storm. The advantages of using observations with high-temporal resolution to analyze the evolution and intensity of convective storms are discussed.Fil: Borque, Paloma Celina. University of Illinois. Urbana - Champaign; Estados Unidos. Pacific Northwest National Laboratory; Estados UnidosFil: Vidal, Luciano. Ministerio de Defensa. Secretaria de Planeamiento. Servicio Meteorológico Nacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Rugna, Martin Ezequiel. Ministerio de Defensa. Secretaria de Planeamiento. Servicio Meteorológico Nacional; ArgentinaFil: Lang, Timothy J.. National Aeronautics and Space Administration; Estados UnidosFil: Nicora, Maria Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Investigación y Desarrollo Estratégico para la Defensa. Ministerio de Defensa. Unidad de Investigación y Desarrollo Estratégico para la Defensa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Científicas y Técnicas para la Defensa. Centro de Investigación en Láseres y Aplicaciones; ArgentinaFil: Nesbitt, Stephen William. University of Illinois. Urbana - Champaign; Estados UnidosBlackwell Publishing Ltd2020-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/143737Borque, Paloma Celina; Vidal, Luciano; Rugna, Martin Ezequiel; Lang, Timothy J.; Nicora, Maria Gabriela; et al.; Distinctive Signals in 1‐minute Observations of Overshooting Tops and Lightning Activity in a Severe Supercell Thunderstorm; Blackwell Publishing Ltd; Journal of Geophysical Research: Atmospheres; 125; 20; 10-2020; 1-382169-8996CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1029/2020JD032856info:eu-repo/semantics/altIdentifier/doi/10.1029/2020JD032856info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:10:23Zoai:ri.conicet.gov.ar:11336/143737instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:10:23.782CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Distinctive Signals in 1‐minute Observations of Overshooting Tops and Lightning Activity in a Severe Supercell Thunderstorm
title Distinctive Signals in 1‐minute Observations of Overshooting Tops and Lightning Activity in a Severe Supercell Thunderstorm
spellingShingle Distinctive Signals in 1‐minute Observations of Overshooting Tops and Lightning Activity in a Severe Supercell Thunderstorm
Borque, Paloma Celina
AEROSOL TRANSPORT
ATMOSPHERIC MODELING
LARGE EDDY SIMULATION (LES)
RANDOM WALK
SEA SPRAY GENERATION
UPSCALED MODELING
title_short Distinctive Signals in 1‐minute Observations of Overshooting Tops and Lightning Activity in a Severe Supercell Thunderstorm
title_full Distinctive Signals in 1‐minute Observations of Overshooting Tops and Lightning Activity in a Severe Supercell Thunderstorm
title_fullStr Distinctive Signals in 1‐minute Observations of Overshooting Tops and Lightning Activity in a Severe Supercell Thunderstorm
title_full_unstemmed Distinctive Signals in 1‐minute Observations of Overshooting Tops and Lightning Activity in a Severe Supercell Thunderstorm
title_sort Distinctive Signals in 1‐minute Observations of Overshooting Tops and Lightning Activity in a Severe Supercell Thunderstorm
dc.creator.none.fl_str_mv Borque, Paloma Celina
Vidal, Luciano
Rugna, Martin Ezequiel
Lang, Timothy J.
Nicora, Maria Gabriela
Nesbitt, Stephen William
author Borque, Paloma Celina
author_facet Borque, Paloma Celina
Vidal, Luciano
Rugna, Martin Ezequiel
Lang, Timothy J.
Nicora, Maria Gabriela
Nesbitt, Stephen William
author_role author
author2 Vidal, Luciano
Rugna, Martin Ezequiel
Lang, Timothy J.
Nicora, Maria Gabriela
Nesbitt, Stephen William
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv AEROSOL TRANSPORT
ATMOSPHERIC MODELING
LARGE EDDY SIMULATION (LES)
RANDOM WALK
SEA SPRAY GENERATION
UPSCALED MODELING
topic AEROSOL TRANSPORT
ATMOSPHERIC MODELING
LARGE EDDY SIMULATION (LES)
RANDOM WALK
SEA SPRAY GENERATION
UPSCALED MODELING
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv This work examines a severe weather event that took place over central Argentina on 11 December 2018. The evolution of the storm from its initiation, rapid organization into a supercell, and eventual decay was analyzed with high-temporal resolution observations. This work provides insight into the spatio-temporal co-evolution of storm kinematics (updraft area and lifespan), cloud-top cooling rates, and lightning production that led to severe weather. The analyzed storm presented two convective periods with associated severe weather. An overall decrease in cloud-top local minima IR brightness temperature (MinIR) and lightning jump (LJ) preceded both periods. LJs provided the highest lead time to the occurrence of severe weather, with the ground-based lightning networks providing the maximum warning time of around 30 min. Lightning flash counts from the Geostationary Lightning Mapper (GLM) were underestimated when compared to detections from ground-based lightning networks. Among the possible reasons for GLM's lower detection efficiency were an optically dense medium located above lightning sources and the occurrence of flashes smaller than GLM's footprint. The minimum MinIR provided the shorter warning time to severe weather occurrence. However, the secondary minima in MinIR that preceded the absolute minima improved this warning time by more than 10 min. Trends in MinIR for time scales shorter than 6 min revealed shorter cycles of fast cooling and warming, which provided information about the lifecycle of updrafts within the storm. The advantages of using observations with high-temporal resolution to analyze the evolution and intensity of convective storms are discussed.
Fil: Borque, Paloma Celina. University of Illinois. Urbana - Champaign; Estados Unidos. Pacific Northwest National Laboratory; Estados Unidos
Fil: Vidal, Luciano. Ministerio de Defensa. Secretaria de Planeamiento. Servicio Meteorológico Nacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rugna, Martin Ezequiel. Ministerio de Defensa. Secretaria de Planeamiento. Servicio Meteorológico Nacional; Argentina
Fil: Lang, Timothy J.. National Aeronautics and Space Administration; Estados Unidos
Fil: Nicora, Maria Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Investigación y Desarrollo Estratégico para la Defensa. Ministerio de Defensa. Unidad de Investigación y Desarrollo Estratégico para la Defensa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Científicas y Técnicas para la Defensa. Centro de Investigación en Láseres y Aplicaciones; Argentina
Fil: Nesbitt, Stephen William. University of Illinois. Urbana - Champaign; Estados Unidos
description This work examines a severe weather event that took place over central Argentina on 11 December 2018. The evolution of the storm from its initiation, rapid organization into a supercell, and eventual decay was analyzed with high-temporal resolution observations. This work provides insight into the spatio-temporal co-evolution of storm kinematics (updraft area and lifespan), cloud-top cooling rates, and lightning production that led to severe weather. The analyzed storm presented two convective periods with associated severe weather. An overall decrease in cloud-top local minima IR brightness temperature (MinIR) and lightning jump (LJ) preceded both periods. LJs provided the highest lead time to the occurrence of severe weather, with the ground-based lightning networks providing the maximum warning time of around 30 min. Lightning flash counts from the Geostationary Lightning Mapper (GLM) were underestimated when compared to detections from ground-based lightning networks. Among the possible reasons for GLM's lower detection efficiency were an optically dense medium located above lightning sources and the occurrence of flashes smaller than GLM's footprint. The minimum MinIR provided the shorter warning time to severe weather occurrence. However, the secondary minima in MinIR that preceded the absolute minima improved this warning time by more than 10 min. Trends in MinIR for time scales shorter than 6 min revealed shorter cycles of fast cooling and warming, which provided information about the lifecycle of updrafts within the storm. The advantages of using observations with high-temporal resolution to analyze the evolution and intensity of convective storms are discussed.
publishDate 2020
dc.date.none.fl_str_mv 2020-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/143737
Borque, Paloma Celina; Vidal, Luciano; Rugna, Martin Ezequiel; Lang, Timothy J.; Nicora, Maria Gabriela; et al.; Distinctive Signals in 1‐minute Observations of Overshooting Tops and Lightning Activity in a Severe Supercell Thunderstorm; Blackwell Publishing Ltd; Journal of Geophysical Research: Atmospheres; 125; 20; 10-2020; 1-38
2169-8996
CONICET Digital
CONICET
url http://hdl.handle.net/11336/143737
identifier_str_mv Borque, Paloma Celina; Vidal, Luciano; Rugna, Martin Ezequiel; Lang, Timothy J.; Nicora, Maria Gabriela; et al.; Distinctive Signals in 1‐minute Observations of Overshooting Tops and Lightning Activity in a Severe Supercell Thunderstorm; Blackwell Publishing Ltd; Journal of Geophysical Research: Atmospheres; 125; 20; 10-2020; 1-38
2169-8996
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1029/2020JD032856
info:eu-repo/semantics/altIdentifier/doi/10.1029/2020JD032856
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Blackwell Publishing Ltd
publisher.none.fl_str_mv Blackwell Publishing Ltd
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613993292890112
score 13.070432

Publicaciones similares